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 09e1ec07d..cce91ba31 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -397,23 +397,23 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Configures the input to the batch request. /// /// /// Required. The user-defined name of this batch. /// - /// - /// Stats about the batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Configures the input to the batch request. + /// + /// Stats about the batch. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -421,23 +421,23 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - string? priority = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? model = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - Model = model, - Priority = priority, + InputConfig = inputConfig, DisplayName = displayName, - BatchStats = batchStats, + Model = model, Output = output, - InputConfig = inputConfig, + BatchStats = batchStats, + Priority = priority, }; 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 432a26001..475c3b2f6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -397,47 +397,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Stats about the batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// /// /// 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 /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.BatchStats? batchStats = default, - string? model = default, string? priority = default, + global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? model = default, global::Google.Gemini.InputConfig? inputConfig = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - DisplayName = displayName, - BatchStats = batchStats, - Model = model, Priority = priority, + BatchStats = batchStats, Output = output, + Model = model, InputConfig = inputConfig, + 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 eb39c978f..2ff1e6b89 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 @@ -383,57 +383,57 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Metadata on the usage of the cached content. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { Tools = tools, - UsageMetadata = usageMetadata, DisplayName = displayName, - SystemInstruction = systemInstruction, - Ttl = ttl, - Contents = contents, - ToolConfig = toolConfig, ExpireTime = expireTime, + ToolConfig = toolConfig, Model = model, + UsageMetadata = usageMetadata, + SystemInstruction = systemInstruction, + Contents = contents, + Ttl = ttl, }; 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 9fedeb4e9..4b27719ca 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 @@ -400,30 +400,30 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Metadata on the usage of the cached content. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -431,28 +431,28 @@ partial void ProcessCachedContentsPatchResponseContent( string cachedContentsId, string? updateMask = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { Tools = tools, - UsageMetadata = usageMetadata, DisplayName = displayName, - SystemInstruction = systemInstruction, - Ttl = ttl, - Contents = contents, - ToolConfig = toolConfig, ExpireTime = expireTime, + ToolConfig = toolConfig, Model = model, + UsageMetadata = usageMetadata, + SystemInstruction = systemInstruction, + Contents = contents, + Ttl = ttl, }; 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 346efde61..3e2b9a20c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 dc2f50ace..11e2bdd76 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 331a6b676..50c2dd755 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = 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 { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 793995300..bfe4ff623 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -387,31 +387,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Custom metadata to be associated with the file. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + global::System.Collections.Generic.IList? customMetadata = default, + string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { - FileName = fileName, - CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, + CustomMetadata = customMetadata, + FileName = fileName, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index 37f956e0f..7b2ca1226 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 @@ -387,8 +387,8 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// 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 @@ -396,27 +396,27 @@ 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = default, + string? displayName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - DisplayName = displayName, + CustomMetadata = customMetadata, ChunkingConfig = chunkingConfig, MimeType = mimeType, - CustomMetadata = customMetadata, + DisplayName = displayName, }; return await MediaUploadToFileSearchStoreAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs index 293eab140..13706064d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsCountTokens.g.cs @@ -387,26 +387,26 @@ partial void ProcessModelsCountTokensResponseContent( /// Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens. /// /// - /// - /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. - /// /// /// Request to generate a completion from the model. /// + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsCountTokensAsync( string modelsId, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CountTokensRequest { - Contents = contents, GenerateContentRequest = generateContentRequest, + Contents = contents, }; return await ModelsCountTokensAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index 5bdec85ff..b831ed90b 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 @@ -392,28 +392,28 @@ partial void ProcessModelsEmbedContentResponseContent( /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// Configurations for the EmbedContent request. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, global::Google.Gemini.Content? content = default, - string? model = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { Content = content, - Model = model, EmbedContentConfig = embedContentConfig, + Model = model, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index f24d53ae3..74e9f8838 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 799d61e29..3eb286f87 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 b383ee132..7a0200db7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = 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 { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 e831b2dd4..f91dd3c08 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -390,61 +390,61 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. A short description of this model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? temperature = default, string? displayName = default, + float? topP = default, string? description = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, + TunedModelSource = tunedModelSource, + ReaderProjectNumbers = readerProjectNumbers, BaseModel = baseModel, + TopK = topK, + TuningTask = tuningTask, + Temperature = temperature, DisplayName = displayName, + TopP = topP, Description = description, - Temperature = temperature, - TuningTask = tuningTask, - ReaderProjectNumbers = readerProjectNumbers, - TunedModelSource = tunedModelSource, - TopK = topK, }; 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 2e85bb087..2dbe419c1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 96f924352..e6670e2a0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -397,32 +397,32 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. A short description of this model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -430,29 +430,29 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? temperature = default, string? displayName = default, + float? topP = default, string? description = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, + TunedModelSource = tunedModelSource, + ReaderProjectNumbers = readerProjectNumbers, BaseModel = baseModel, + TopK = topK, + TuningTask = tuningTask, + Temperature = temperature, DisplayName = displayName, + TopP = topP, Description = description, - Temperature = temperature, - TuningTask = tuningTask, - ReaderProjectNumbers = readerProjectNumbers, - TunedModelSource = tunedModelSource, - TopK = topK, }; 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 5f31113e3..c723e8272 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 8ec201257..e3f852f34 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = default, - string? model = 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 { - GenerationConfig = generationConfig, - Tools = tools, - CachedContent = cachedContent, - ServiceTier = serviceTier, + Contents = contents, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - Contents = contents, ToolConfig = toolConfig, + GenerationConfig = generationConfig, + ServiceTier = serviceTier, + Tools = tools, + CachedContent = cachedContent, Store = store, - Model = model, }; 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 ff49152cd..45861cb28 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -25,23 +25,23 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// Configures the input to the batch request. /// /// /// Required. The user-defined name of this batch. /// - /// - /// Stats about the batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - /// - /// Configures the input to the batch request. + /// + /// Stats about the batch. + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -49,12 +49,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - string? priority = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? displayName = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? model = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 9911b56df..175fd3c48 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -25,36 +25,36 @@ public partial interface IGeminiClient /// /// /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// /// Stats about the batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// /// /// 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 /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? displayName = default, - global::Google.Gemini.BatchStats? batchStats = default, - string? model = default, string? priority = default, + global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, + string? model = default, global::Google.Gemini.InputConfig? inputConfig = 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 816491422..c352846c3 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 @@ -22,43 +22,43 @@ public partial interface IGeminiClient /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Metadata on the usage of the cached content. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = 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 8b7e9a216..e33c46cb2 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 @@ -28,30 +28,30 @@ public partial interface IGeminiClient /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Metadata on the usage of the cached content. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// + /// + /// Metadata on the usage of the cached content. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// Optional. Input only. Immutable. The content to cache. + /// + /// + /// Input only. New TTL for this resource, input only. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -59,14 +59,14 @@ public partial interface IGeminiClient string cachedContentsId, string? updateMask = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, string? displayName = default, - global::Google.Gemini.Content? systemInstruction = default, - string? ttl = default, - global::System.Collections.Generic.IList? contents = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? model = default, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? ttl = 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 e361a1daf..c101765fc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index c8978c264..0eea8a4e1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 370d4960b..988085811 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index 30e4cb8e7..e142b148a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Custom metadata to be associated with the file. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, - string? fileName = default, - global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, + global::System.Collections.Generic.IList? customMetadata = default, + string? fileName = 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 acf7cc331..585d330b8 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 @@ -22,8 +22,8 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// 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 @@ -31,18 +31,18 @@ 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, - global::System.Collections.Generic.IList? customMetadata = 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.ModelsCountTokens.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs index 3de073d14..5fd7ed156 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsCountTokens.g.cs @@ -22,19 +22,19 @@ public partial interface IGeminiClient /// Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens. /// /// - /// - /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. - /// /// /// Request to generate a completion from the model. /// + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsCountTokensAsync( string modelsId, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerateContentRequest? generateContentRequest = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index d9e52129c..a329c35cc 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 @@ -27,20 +27,20 @@ public partial interface IGeminiClient /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// Configurations for the EmbedContent request. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, global::Google.Gemini.Content? content = default, - string? model = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index 3e62d8980..f1f18a2ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index e580e062f..633095fde 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 167e8d638..140d2c35c 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index b3f257ac2..294679b7d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -22,47 +22,47 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. A short description of this model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, - float? topP = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? temperature = default, string? displayName = default, + float? topP = default, string? description = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = 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 c4b306bd7..857c1d847 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index 7483f9205..092cfdc02 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Tuned model as a source for training a new model. + /// + /// + /// Optional. List of project numbers that have read access to the tuned model. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. A short description of this model. + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. - /// - /// - /// 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. /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, string? baseModel = default, + int? topK = default, + global::Google.Gemini.TuningTask? tuningTask = default, + float? temperature = default, string? displayName = default, + float? topP = default, string? description = default, - float? temperature = default, - global::Google.Gemini.TuningTask? tuningTask = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = 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 7f8db3bd6..a3af4bdd8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index ad7a5f78f..62e8ea646 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`. /// /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::System.Collections.Generic.IList? tools = default, - string? cachedContent = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.ToolConfig? toolConfig = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + global::System.Collections.Generic.IList? tools = default, + string? cachedContent = default, bool? store = 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.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 727235e30..55557f6ef 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,425 +13,425 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - 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.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + 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.DynamicRetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] - [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.Permission))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LatLng))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Blob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingAttribution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearchRetrieval))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListModelsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Part))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListOperationsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListPermissionsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 c125d12bc..b10e02a7e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,972 +28,972 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type0 { get; set; } + public global::Google.Gemini.Schema? Type0 { get; set; } /// /// /// - public float? Type1 { get; set; } + public string? Type1 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type2 { get; set; } + public object? Type2 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type3 { get; set; } + public bool? Type3 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type4 { get; set; } + public global::System.Collections.Generic.Dictionary? Type4 { get; set; } /// /// /// - public object? Type5 { get; set; } + public double? Type5 { get; set; } /// /// /// - public string? Type6 { get; set; } + public global::System.Collections.Generic.IList? Type6 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type7 { get; set; } + public global::System.Collections.Generic.IList? Type7 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type8 { get; set; } + public global::Google.Gemini.SchemaType? Type8 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type9 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type9 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type10 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type10 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type11 { get; set; } + public global::Google.Gemini.ImageSearch? Type11 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type12 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type12 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type13 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type13 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type14 { get; set; } + public int? Type14 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type15 { get; set; } + public global::Google.Gemini.FileSearchStore? Type15 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type16 { get; set; } + public global::Google.Gemini.Candidate? Type16 { get; set; } /// /// /// - public int? Type17 { get; set; } + public global::Google.Gemini.CitationMetadata? Type17 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type18 { get; set; } + public global::System.Collections.Generic.IList? Type18 { get; set; } /// /// /// - public double? Type19 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type19 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type20 { get; set; } + public global::System.Collections.Generic.IList? Type20 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type21 { get; set; } + public global::Google.Gemini.SafetyRating? Type21 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type22 { get; set; } + public global::Google.Gemini.Content? Type22 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type23 { get; set; } + public global::Google.Gemini.LogprobsResult? Type23 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type24 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type24 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type25 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type25 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type26 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type26 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type27 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type27 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type28 { get; set; } + public global::System.Collections.Generic.IList? Type28 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type29 { get; set; } + public global::Google.Gemini.Corpus? Type29 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type30 { get; set; } + public global::Google.Gemini.RetrievedContext? Type30 { get; set; } /// /// /// - public byte[]? Type31 { get; set; } + public global::System.Collections.Generic.IList? Type31 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type32 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type32 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type33 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type33 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type34 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type34 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type35 { get; set; } + public global::System.Collections.Generic.IList? Type35 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type36 { get; set; } + public global::Google.Gemini.GeneratedFile? Type36 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type37 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type37 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type38 { get; set; } + public global::Google.Gemini.File? Type38 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type39 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type39 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type40 { get; set; } + public float? Type40 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type41 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type41 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type42 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type42 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type43 { get; set; } + public global::System.Collections.Generic.IList? Type43 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type44 { get; set; } + public global::System.Collections.Generic.IList? Type44 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type45 { get; set; } + public global::Google.Gemini.SafetySetting? Type45 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type46 { get; set; } + public global::Google.Gemini.ToolConfig? Type46 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type47 { get; set; } + public global::Google.Gemini.GenerationConfig? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type48 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type48 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type49 { get; set; } + public global::System.Collections.Generic.IList? Type49 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type50 { get; set; } + public global::Google.Gemini.Tool? Type50 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type51 { get; set; } + public global::Google.Gemini.Empty? Type51 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type52 { get; set; } + public global::System.Collections.Generic.IList? Type52 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type53 { get; set; } + public global::System.Collections.Generic.IList? Type53 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type54 { get; set; } + public global::Google.Gemini.TopCandidates? Type54 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type55 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type55 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type56 { get; set; } + public global::System.Collections.Generic.IList? Type56 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type57 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type57 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type58 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type58 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type59 { get; set; } + public global::Google.Gemini.Status? Type59 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type60 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type60 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type61 { get; set; } + public global::Google.Gemini.CodeExecution? Type61 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type62 { get; set; } + public global::Google.Gemini.SpeechConfig? Type62 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type63 { get; set; } + public global::Google.Gemini.VoiceConfig? Type63 { get; set; } /// /// /// - public bool? Type64 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type64 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type65 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type65 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type66 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type66 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type67 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type67 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type68 { get; set; } + public global::Google.Gemini.ToolCall? Type68 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type69 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type69 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type70 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type70 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type71 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type71 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type72 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type72 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type73 { get; set; } + public global::Google.Gemini.FileData? Type73 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type74 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type74 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type75 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type75 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type76 { get; set; } + public global::Google.Gemini.FunctionResponse? Type76 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type77 { get; set; } + public global::System.Collections.Generic.IList? Type77 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type78 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type78 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type79 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type79 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type80 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type80 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type81 { get; set; } + public global::Google.Gemini.ImageConfig? Type81 { get; set; } /// /// /// - public global::Google.Gemini.File? Type82 { get; set; } + public global::System.Collections.Generic.IList? Type82 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type83 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type83 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type84 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type84 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type85 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type85 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type86 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type86 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type87 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type87 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type88 { get; set; } + public global::Google.Gemini.SearchTypes? Type88 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type89 { get; set; } + public global::Google.Gemini.WebSearch? Type89 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type90 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type90 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type91 { get; set; } + public global::Google.Gemini.TunedModelSource? Type91 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type92 { get; set; } + public global::Google.Gemini.Image? Type92 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type93 { get; set; } + public global::Google.Gemini.InlinedRequests? Type93 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type94 { get; set; } + public global::System.Collections.Generic.IList? Type94 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type95 { get; set; } + public global::Google.Gemini.InlinedRequest? Type95 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type96 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type96 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type97 { get; set; } + public global::Google.Gemini.Document? Type97 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type98 { get; set; } + public global::Google.Gemini.DocumentState? Type98 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type99 { get; set; } + public global::System.Collections.Generic.IList? Type99 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type100 { get; set; } + public global::Google.Gemini.CustomMetadata? Type100 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type101 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type101 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type102 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type102 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type103 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type103 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type104 { get; set; } + public global::Google.Gemini.Blob? Type104 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type105 { get; set; } + public byte[]? Type105 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type106 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type106 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type107 { get; set; } + public global::System.Collections.Generic.IList? Type107 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type108 { get; set; } + public global::Google.Gemini.Model? Type108 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type109 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type109 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type110 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type110 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type111 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type111 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type112 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type112 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type113 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type115 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type116 { get; set; } + public global::Google.Gemini.VideoMetadata? Type116 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type117 { get; set; } + public global::Google.Gemini.ComputerUse? Type117 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type118 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type118 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type119 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type119 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type120 { get; set; } + public global::Google.Gemini.LatLng? Type120 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type121 { get; set; } + public global::Google.Gemini.UsageMetadata? Type121 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type122 { get; set; } + public global::System.Collections.Generic.IList? Type122 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type123 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type123 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type124 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type124 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type125 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type125 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type126 { get; set; } + public global::System.Collections.Generic.IList? Type126 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type127 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type127 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type128 { get; set; } + public global::Google.Gemini.StringList? Type128 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type129 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type129 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type130 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::System.Collections.Generic.IList? Type131 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type132 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type132 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type134 { get; set; } + public global::Google.Gemini.GroundingChunk? Type134 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type135 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type135 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type137 { get; set; } + public global::Google.Gemini.TuningExamples? Type137 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type138 { get; set; } + public global::System.Collections.Generic.IList? Type138 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type139 { get; set; } + public global::Google.Gemini.TuningExample? Type139 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type140 { get; set; } + public global::System.Collections.Generic.IList? Type140 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type141 { get; set; } + public global::System.Collections.Generic.IList? Type141 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type142 { get; set; } + public global::Google.Gemini.GoogleSearch? Type142 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type143 { get; set; } + public global::Google.Gemini.FileSearch? Type143 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type144 { get; set; } + public global::System.Collections.Generic.IList? Type144 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type145 { get; set; } + public global::Google.Gemini.McpServer? Type145 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type146 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type146 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type147 { get; set; } + public global::Google.Gemini.GoogleMaps? Type147 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type148 { get; set; } + public global::System.Collections.Generic.IList? Type148 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type149 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type149 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type150 { get; set; } + public global::Google.Gemini.UrlContext? Type150 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type151 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type151 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type152 { get; set; } + public global::Google.Gemini.Web? Type152 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type153 { get; set; } + public global::Google.Gemini.Maps? Type153 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type154 { get; set; } + public global::Google.Gemini.CachedContent? Type154 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type155 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type155 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type156 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type156 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type157 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type157 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type158 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type158 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type159 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type159 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type160 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type160 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type161 { get; set; } + public global::System.Collections.Generic.IList? Type161 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type162 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type162 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type163 { get; set; } + public global::Google.Gemini.ExecutableCode? Type163 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type164 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type164 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type165 { get; set; } + public global::Google.Gemini.Permission? Type165 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type166 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type166 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type167 { get; set; } + public global::Google.Gemini.PermissionRole? Type167 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type168 { get; set; } + public global::Google.Gemini.ModelStatus? Type168 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type169 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type169 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type170 { get; set; } + public global::System.Collections.Generic.IList? Type170 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type171 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type171 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type172 { get; set; } + public global::Google.Gemini.Hyperparameters? Type172 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type173 { get; set; } + public global::Google.Gemini.Interval? Type173 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type174 { get; set; } + public global::Google.Gemini.InputConfig? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type175 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type176 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type176 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type177 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type177 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type178 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type178 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type179 { get; set; } + public global::Google.Gemini.InlinedResponses? Type179 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type180 { get; set; } + public global::Google.Gemini.TunedModel? Type180 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type181 { get; set; } + public global::Google.Gemini.TuningTask? Type181 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type182 { get; set; } + public global::Google.Gemini.TunedModelState? Type182 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type183 { get; set; } + public global::Google.Gemini.Dataset? Type183 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type184 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type184 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type185 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type185 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type186 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::System.Collections.Generic.IList? Type187 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type188 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type188 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type189 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type189 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type190 { get; set; } + public global::System.Collections.Generic.IList? Type190 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type191 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type191 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type192 { get; set; } + public global::Google.Gemini.BatchStats? Type192 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type193 { get; set; } + public global::Google.Gemini.CitationSource? Type193 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type194 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type194 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type195 { get; set; } + public global::Google.Gemini.FunctionCall? Type195 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type196 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type198 { get; set; } + public global::Google.Gemini.PromptFeedback? Type198 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type199 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type199 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type200 { get; set; } + public global::Google.Gemini.Operation? Type200 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type201 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type201 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type202 { get; set; } + public global::System.Collections.Generic.Dictionary? Type202 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type203 { get; set; } + public global::Google.Gemini.Part? Type203 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type204 { get; set; } + public global::Google.Gemini.ToolResponse? Type204 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type205 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type205 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type206 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type206 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type208 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type208 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type209 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type209 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type210 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type210 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type211 { get; set; } + public global::System.Collections.Generic.IList? Type211 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type212 { get; set; } + public global::Google.Gemini.UrlMetadata? Type212 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type213 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type213 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type214 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type214 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type215 { get; set; } + public global::System.Collections.Generic.IList? Type215 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type216 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type216 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type217 { get; set; } + public global::Google.Gemini.FileSource? Type217 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type218 { get; set; } + public global::Google.Gemini.FileState? Type218 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type219 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type220 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type221 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type221 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type222 { get; set; } + public global::Google.Gemini.InlinedResponse? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type223 { get; set; } + public global::System.Collections.Generic.IList? Type223 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type224 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type224 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type225 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type225 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type226 { get; set; } + public global::System.Collections.Generic.IList? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type228 { get; set; } + public global::System.Collections.Generic.IList? Type228 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type229 { get; set; } + public global::System.Collections.Generic.IList? Type229 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type230 { get; set; } + public global::System.Collections.Generic.IList? Type230 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type231 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type231 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type233 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type233 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// @@ -1001,150 +1001,150 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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 aa89d8724..1c4f263ce 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 @@ -8,6 +8,12 @@ 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 @@ -15,12 +21,6 @@ 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::System.Collections.Generic.IList? embeddings, - global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata) + global::Google.Gemini.EmbeddingUsageMetadata? usageMetadata, + global::System.Collections.Generic.IList? embeddings) { - this.Embeddings = embeddings; this.UsageMetadata = usageMetadata; + this.Embeddings = embeddings; } /// 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 195d98803..4682c7583 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 @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class BatchStats { /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// 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 were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that are still pending processing.
- /// Included only in responses - /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// + /// + /// Output only. The number of requests that are still pending processing.
+ /// Included only in responses + /// /// /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? pendingRequestCount, - string? successfulRequestCount, string? failedRequestCount, - string? requestCount) + string? pendingRequestCount, + string? requestCount, + string? successfulRequestCount) { - this.PendingRequestCount = pendingRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; + this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index b67ea9274..99565ceeb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// /// /// Raw bytes for media formats. /// + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 3adccf577..7f8c9f253 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 @@ -15,11 +15,10 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. Creation time of the cache entry.
@@ -29,28 +28,41 @@ public sealed partial class CachedContent public string? CreateTime { get; set; } /// - /// Metadata on the usage of the cached content. + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Metadata on the usage of the cached content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. Input only. Immutable. The content to cache. @@ -59,10 +71,10 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Contents { 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; } /// /// Output only. When the cache entry was last updated in UTC time.
@@ -71,18 +83,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] - public string? ExpireTime { get; set; } - - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -95,71 +95,71 @@ public sealed partial class CachedContent /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Output only. Creation time of the cache entry.
/// Included only in responses /// + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses + /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Metadata on the usage of the cached content. /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Input only. New TTL for this resource, input only. - /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Input only. New TTL for this resource, input only. /// /// /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( global::System.Collections.Generic.IList? tools, - string? name, + string? displayName, string? createTime, + string? expireTime, + global::Google.Gemini.ToolConfig? toolConfig, + string? name, + string? model, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - string? displayName, global::Google.Gemini.Content? systemInstruction, - string? ttl, global::System.Collections.Generic.IList? contents, - global::Google.Gemini.ToolConfig? toolConfig, - string? updateTime, - string? expireTime, - string? model) + string? ttl, + string? updateTime) { this.Tools = tools; - this.Name = name; + this.DisplayName = displayName; this.CreateTime = createTime; + this.ExpireTime = expireTime; + this.ToolConfig = toolConfig; + this.Name = name; + this.Model = model; this.UsageMetadata = usageMetadata; - this.DisplayName = displayName; this.SystemInstruction = systemInstruction; - this.Ttl = ttl; this.Contents = contents; - this.ToolConfig = toolConfig; + this.Ttl = ttl; this.UpdateTime = updateTime; - this.ExpireTime = expireTime; - 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 e4a224f8f..2a3c8adc2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs @@ -9,17 +9,17 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// A collection of source attributions for a piece of content. + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
@@ -28,19 +28,6 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } - - /// - /// Metadata related to url context retrieval tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } - /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// @@ -48,12 +35,17 @@ public sealed partial class Candidate public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } + + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Logprobs Result @@ -61,6 +53,12 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + /// + /// Metadata returned to client when grounding is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + /// /// Output only. Token count for this candidate.
/// Included only in responses @@ -69,23 +67,25 @@ public sealed partial class Candidate public int? TokenCount { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// 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.
+ /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Output only. Index of the candidate in the list of response candidates.
+ /// 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("index")] + public int? Index { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,77 +96,77 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses + /// /// /// A collection of source attributions for a piece of content. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses - /// /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - /// - /// Metadata related to url context retrieval tool. - /// /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// + /// Output only. Average log probability score of the candidate.
/// Included only in responses /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Logprobs Result /// + /// + /// Metadata returned to client when grounding is enabled. + /// /// /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// 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.
+ /// + /// 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.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( + string? finishMessage, global::Google.Gemini.CitationMetadata? citationMetadata, - int? index, global::System.Collections.Generic.IList? groundingAttributions, - double? avgLogprobs, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.CandidateFinishReason? finishReason, + double? avgLogprobs, + global::Google.Gemini.Content? content, global::Google.Gemini.LogprobsResult? logprobsResult, + global::Google.Gemini.GroundingMetadata? groundingMetadata, int? tokenCount, - global::Google.Gemini.Content? content, - string? finishMessage, - global::Google.Gemini.GroundingMetadata? groundingMetadata) + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, + global::Google.Gemini.CandidateFinishReason? finishReason, + int? index) { + this.FinishMessage = finishMessage; this.CitationMetadata = citationMetadata; - this.Index = index; this.GroundingAttributions = groundingAttributions; - this.AvgLogprobs = avgLogprobs; - this.UrlContextMetadata = urlContextMetadata; this.SafetyRatings = safetyRatings; - this.FinishReason = finishReason; - this.LogprobsResult = logprobsResult; - this.TokenCount = tokenCount; + this.AvgLogprobs = avgLogprobs; this.Content = content; - this.FinishMessage = finishMessage; + this.LogprobsResult = logprobsResult; this.GroundingMetadata = groundingMetadata; + this.TokenCount = tokenCount; + this.UrlContextMetadata = urlContextMetadata; + this.FinishReason = finishReason; + this.Index = index; } /// 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 6d91af4b6..321333a1e 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 @@ -20,18 +20,18 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] public int? StartIndex { get; set; } - /// - /// Optional. End of the attributed segment, exclusive. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// Optional. URI that is attributed as a source for a portion of the text. /// [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } + /// + /// Optional. End of the attributed segment, exclusive. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,25 +47,25 @@ public sealed partial class CitationSource /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - /// - /// Optional. End of the attributed segment, exclusive. - /// /// /// Optional. URI that is attributed as a source for a portion of the text. /// + /// + /// Optional. End of the attributed segment, exclusive. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( string? license, int? startIndex, - int? endIndex, - string? uri) + string? uri, + int? endIndex) { this.License = license; this.StartIndex = startIndex; - this.EndIndex = endIndex; this.Uri = uri; + this.EndIndex = endIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index ed77a91d9..1669c1ec4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class CodeExecutionResult { /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// Required. Outcome of the code execution. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outcome")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] + public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. @@ -21,11 +22,10 @@ public sealed partial class CodeExecutionResult public string? Output { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outcome")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter))] - public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { 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. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + /// Required. Outcome of the code execution. /// /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// - /// - /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( - string? id, + global::Google.Gemini.CodeExecutionResultOutcome? outcome, string? output, - global::Google.Gemini.CodeExecutionResultOutcome? outcome) + string? id) { - this.Id = id; - this.Output = output; this.Outcome = outcome; + this.Output = output; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs index 32abe7053..e1753f14c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ContentEmbedding { - /// - /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("shape")] - public global::System.Collections.Generic.IList? Shape { get; set; } - /// /// The embedding values. This is for 3P users only and will not be populated for 1P calls. /// [global::System.Text.Json.Serialization.JsonPropertyName("values")] public global::System.Collections.Generic.IList? Values { get; set; } + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("shape")] + public global::System.Collections.Generic.IList? Shape { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ContentEmbedding /// /// Initializes a new instance of the class. /// - /// - /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). - /// /// /// The embedding values. This is for 3P users only and will not be populated for 1P calls. /// + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ContentEmbedding( - global::System.Collections.Generic.IList? shape, - global::System.Collections.Generic.IList? values) + global::System.Collections.Generic.IList? values, + global::System.Collections.Generic.IList? shape) { - this.Shape = shape; this.Values = values; + this.Shape = shape; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index eb3b62a12..8c91f8f64 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 @@ -16,11 +16,11 @@ public sealed partial class Corpus public string? Name { get; set; } /// - /// Output only. The Timestamp of when the `Corpus` was created.
+ /// 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; } /// /// 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" @@ -29,11 +29,11 @@ public sealed partial class Corpus 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -48,15 +48,15 @@ public sealed partial class Corpus /// Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
+ /// + /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - /// - /// Output only. The Timestamp of when the `Corpus` was last updated.
+ /// + /// Output only. The Timestamp of when the `Corpus` was created.
/// Included only in responses /// #if NET7_0_OR_GREATER @@ -64,14 +64,14 @@ public sealed partial class Corpus #endif public Corpus( string? name, - string? createTime, + string? updateTime, string? displayName, - string? updateTime) + string? createTime) { this.Name = name; - this.CreateTime = createTime; - this.DisplayName = displayName; this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs index f287bd8ad..aae3f8638 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class CountTokensRequest { - /// - /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } - /// /// Request to generate a completion from the model. /// [global::System.Text.Json.Serialization.JsonPropertyName("generateContentRequest")] public global::Google.Gemini.GenerateContentRequest? GenerateContentRequest { get; set; } + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class CountTokensRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. - /// /// /// Request to generate a completion from the model. /// + /// + /// Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensRequest( - global::System.Collections.Generic.IList? contents, - global::Google.Gemini.GenerateContentRequest? generateContentRequest) + global::Google.Gemini.GenerateContentRequest? generateContentRequest, + global::System.Collections.Generic.IList? contents) { - this.Contents = contents; this.GenerateContentRequest = generateContentRequest; + this.Contents = contents; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index 4208a337c..d299dcceb 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 @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses + /// Number of tokens in the cached part of the prompt (the cached content). /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. @@ -21,12 +20,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] public int? TotalTokens { get; set; } - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } - /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses @@ -34,6 +27,13 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,33 +43,33 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the cached content.
- /// Included only in responses + /// + /// Number of tokens in the cached part of the prompt (the cached content). /// /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// Output only. List of modalities that were processed in the cached content.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - global::System.Collections.Generic.IList? cacheTokensDetails, - int? totalTokens, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails) + int? totalTokens, + global::System.Collections.Generic.IList? promptTokensDetails, + global::System.Collections.Generic.IList? cacheTokensDetails) { - this.CacheTokensDetails = cacheTokensDetails; - this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; + this.TotalTokens = totalTokens; 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 0a61c0c9f..9d01c88f7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomLongRunningOperation.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class CustomLongRunningOperation { - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } + /// /// 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`. /// @@ -27,16 +27,16 @@ public sealed partial class CustomLongRunningOperation public object? Response { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// 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("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// + /// + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - string? name, object? metadata, + bool? done, object? response, - global::Google.Gemini.Status? error, - bool? done) + string? name, + global::Google.Gemini.Status? error) { - this.Name = name; this.Metadata = metadata; + this.Done = done; this.Response = response; + this.Name = name; this.Error = error; - this.Done = done; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 4ffbdc272..7186c282b 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 { - /// - /// The numeric value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } - - /// - /// User provided string values assigned to a single metadata key. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } - /// /// The string value of the metadata to store. /// @@ -32,6 +20,18 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } + /// + /// The numeric value of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } + + /// + /// User provided string values assigned to a single metadata key. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// The numeric value of the metadata to store. - /// - /// - /// User provided string values assigned to a single metadata key. - /// /// /// The string value of the metadata to store. /// /// /// Required. The key of the metadata to store. /// + /// + /// The numeric value of the metadata to store. + /// + /// + /// User provided string values assigned to a single metadata key. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - float? numericValue, - global::Google.Gemini.StringList? stringListValue, string? stringValue, - string? key) + string? key, + float? numericValue, + global::Google.Gemini.StringList? stringListValue) { - this.NumericValue = numericValue; - this.StringListValue = stringListValue; this.StringValue = stringValue; this.Key = key; + this.NumericValue = numericValue; + this.StringListValue = stringListValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index 26cab31ed..d0bd20990 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 @@ -9,10 +9,18 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Output only. Current state of the `Document`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] + public global::Google.Gemini.DocumentState? State { get; set; } + + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Output only. The Timestamp of when the `Document` was last updated.
@@ -22,12 +30,11 @@ public sealed partial class Document public string? UpdateTime { get; set; } /// - /// Output only. Current state of the `Document`.
+ /// Output only. The mime type of the Document.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] - public global::Google.Gemini.DocumentState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Output only. The size of raw bytes ingested into the Document.
@@ -37,17 +44,16 @@ public sealed partial class Document public string? SizeBytes { get; set; } /// - /// Output only. The mime type of the Document.
- /// Included only in responses + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The Timestamp of when the `Document` was created.
@@ -56,12 +62,6 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// 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. /// - /// - /// 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. Current state of the `Document`.
+ /// Included only in responses + /// + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// /// /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - /// - /// Output only. Current state of the `Document`.
+ /// + /// Output only. The mime type of the Document.
/// Included only in responses /// /// /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// - /// - /// Output only. The mime type of the Document.
- /// Included only in responses + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// /// /// Output only. The Timestamp of when the `Document` was created.
/// Included only in responses /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? displayName, - string? updateTime, global::Google.Gemini.DocumentState? state, - string? sizeBytes, - string? mimeType, string? name, - string? createTime, - global::System.Collections.Generic.IList? customMetadata) + string? updateTime, + string? mimeType, + string? sizeBytes, + global::System.Collections.Generic.IList? customMetadata, + string? displayName, + string? createTime) { - this.DisplayName = displayName; - this.UpdateTime = updateTime; this.State = state; - this.SizeBytes = sizeBytes; - this.MimeType = mimeType; this.Name = name; - this.CreateTime = createTime; + this.UpdateTime = updateTime; + this.MimeType = mimeType; + this.SizeBytes = sizeBytes; this.CustomMetadata = customMetadata; + this.DisplayName = displayName; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index 26462678a..a57fba7a2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -21,6 +15,12 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// /// /// The mode of the predictor to be used in dynamic retrieval. /// + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - float? dynamicThreshold, - global::Google.Gemini.DynamicRetrievalConfigMode? mode) + global::Google.Gemini.DynamicRetrievalConfigMode? mode, + float? dynamicThreshold) { - this.DynamicThreshold = dynamicThreshold; this.Mode = mode; + this.DynamicThreshold = dynamicThreshold; } /// 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 6a7e49f82..b95310683 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 @@ -9,42 +9,43 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { 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; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { 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.
- /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Required. The user-defined name of this batch. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// 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; } /// - /// Stats about the batch. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. @@ -53,18 +54,10 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchOutput? Output { 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; } - - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// /// Output only. The state of the batch.
@@ -75,10 +68,17 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// + /// Configures the input to the batch request. /// /// /// Required. The user-defined name of this batch. /// - /// - /// Stats about the batch. + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Output only. The time at which the batch was created.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// + /// Stats about the batch. + /// /// /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Configures the input to the batch request. + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( - string? endTime, - string? model, - string? priority, - string? updateTime, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? displayName, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - global::Google.Gemini.EmbedContentBatchOutput? output, - string? name, string? createTime, + string? model, + string? name, + string? endTime, + global::Google.Gemini.EmbedContentBatchOutput? output, + global::Google.Gemini.EmbedContentBatchStats? batchStats, global::Google.Gemini.EmbedContentBatchState? state, - global::Google.Gemini.InputEmbedContentConfig? inputConfig) + string? updateTime, + string? priority) { - this.EndTime = endTime; - this.Model = model; - this.Priority = priority; - this.UpdateTime = updateTime; + this.InputConfig = inputConfig; this.DisplayName = displayName; - this.BatchStats = batchStats; - this.Output = output; - this.Name = name; this.CreateTime = createTime; + this.Model = model; + this.Name = name; + this.EndTime = endTime; + this.Output = output; + this.BatchStats = batchStats; this.State = state; - this.InputConfig = inputConfig; + this.UpdateTime = updateTime; + this.Priority = priority; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs index c7ac9b5f4..973d4848e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class EmbedContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedEmbedContentResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class EmbedContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses) + global::Google.Gemini.InlinedEmbedContentResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs index 0999be7cf..ed4da1213 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -15,13 +15,6 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] public string? PendingRequestCount { get; set; } - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } - /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -36,6 +29,13 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] public string? RequestCount { get; set; } + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -49,10 +49,6 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -61,19 +57,23 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests in the batch.
/// Included only in responses /// + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( string? pendingRequestCount, - string? successfulRequestCount, string? failedRequestCount, - string? requestCount) + string? requestCount, + string? successfulRequestCount) { this.PendingRequestCount = pendingRequestCount; - this.SuccessfulRequestCount = successfulRequestCount; this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; + this.SuccessfulRequestCount = successfulRequestCount; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index 3472da10c..d26a94935 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -9,22 +9,16 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. Whether to enable OCR for document content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } - - /// - /// Optional. Whether to extract audio from video content. + /// Optional. The title for the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { 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 silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// /// Optional. The task type of the embedding. @@ -34,16 +28,22 @@ public sealed partial class EmbedContentConfig public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } /// - /// Optional. The title for the text. + /// 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("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// Optional. Whether to enable OCR for document content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] + public bool? DocumentOcr { get; set; } + + /// + /// Optional. Whether to extract audio from video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether to enable OCR for document content. - /// - /// - /// Optional. Whether to extract audio from video content. + /// + /// Optional. The title for the text. /// - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// /// /// Optional. The task type of the embedding. /// - /// - /// Optional. The title for the text. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - /// - /// 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. Whether to extract audio from video content. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? documentOcr, - bool? audioTrackExtraction, - int? outputDimensionality, - global::Google.Gemini.EmbedContentConfigTaskType? taskType, string? title, - bool? autoTruncate) + bool? autoTruncate, + global::Google.Gemini.EmbedContentConfigTaskType? taskType, + int? outputDimensionality, + bool? documentOcr, + bool? audioTrackExtraction) { - this.DocumentOcr = documentOcr; - this.AudioTrackExtraction = audioTrackExtraction; - this.OutputDimensionality = outputDimensionality; - this.TaskType = taskType; this.Title = title; this.AutoTruncate = autoTruncate; + this.TaskType = taskType; + this.OutputDimensionality = outputDimensionality; + this.DocumentOcr = documentOcr; + this.AudioTrackExtraction = audioTrackExtraction; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index d41876af2..0d52f17f5 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; } - /// /// 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`). /// @@ -25,17 +19,10 @@ public sealed partial class EmbedContentRequest public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { 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}` + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Configurations for the EmbedContent request. @@ -50,6 +37,19 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public string? Title { get; set; } + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// 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("outputDimensionality")] + [global::System.Obsolete("This property marked as deprecated.")] + public int? OutputDimensionality { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -62,23 +62,23 @@ 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. /// - /// - /// 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}` - /// /// /// Configurations for the EmbedContent request. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( global::Google.Gemini.Content? content, - string? model, - global::Google.Gemini.EmbedContentConfig? embedContentConfig) + global::Google.Gemini.EmbedContentConfig? embedContentConfig, + string? model) { this.Content = content; - this.Model = model; this.EmbedContentConfig = embedContentConfig; + this.Model = model; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentResponse.g.cs index 0ee693b07..3838dc09d 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.EmbeddingUsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs index 3be926cd7..5c161b4e0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbeddingUsageMetadata.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class EmbeddingUsageMetadata { /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. Number of tokens in the prompt.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] - public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Output only. Number of tokens in the prompt.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenDetails")] + public global::System.Collections.Generic.IList? PromptTokenDetails { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class EmbeddingUsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// /// /// Output only. Number of tokens in the prompt.
/// Included only in responses /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbeddingUsageMetadata( - global::System.Collections.Generic.IList? promptTokenDetails, - int? promptTokenCount) + int? promptTokenCount, + global::System.Collections.Generic.IList? promptTokenDetails) { - this.PromptTokenDetails = promptTokenDetails; this.PromptTokenCount = promptTokenCount; + this.PromptTokenDetails = promptTokenDetails; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs index 1de5992ff..f9f4e11ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ExecutableCode.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { + /// + /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Programming language of the `code`. /// @@ -21,12 +27,6 @@ public sealed partial class ExecutableCode [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`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// + /// + /// 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. /// - /// - /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( + string? id, global::Google.Gemini.ExecutableCodeLanguage? language, - string? code, - string? id) + string? code) { + this.Id = id; this.Language = language; this.Code = code; - this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs index 6c242a6f8..f5cde36e3 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 @@ -9,38 +9,38 @@ namespace Google.Gemini public sealed partial class File { /// - /// Metadata for a video `File`. + /// Output only. The timestamp of when the `File` was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { 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). + /// Output only. SHA-256 hash of the uploaded bytes.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// - /// Output only. The download uri 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("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. Processing state of the File.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` @@ -49,38 +49,30 @@ public sealed partial class File public string? Name { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - 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" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// - /// Output only. Size of the file in bytes.
- /// Included only in responses + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
- /// Included only in responses + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// /// Source of the File. @@ -90,18 +82,26 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The download 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("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. Processing state 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("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } + + /// + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Metadata for a video `File`. - /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - /// - /// Output only. The download uri of the `File`.
- /// Included only in responses - /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// /// /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// 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. Size of the file in bytes.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// 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. MIME type of the file.
/// Included only in responses /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// + /// Output only. The uri of the `File`.
/// Included only in responses /// + /// + /// Metadata for a video `File`. + /// /// /// Source of the File. /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. Processing state of the File.
+ /// Included only in responses + /// + /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - global::Google.Gemini.VideoFileMetadata? videoMetadata, - global::Google.Gemini.Status? error, - string? downloadUri, - string? mimeType, - global::Google.Gemini.FileState? state, - string? name, - string? expirationTime, + string? createTime, + byte[]? sha256Hash, string? displayName, + string? expirationTime, string? sizeBytes, - string? updateTime, - byte[]? sha256Hash, + string? name, + string? mimeType, + global::Google.Gemini.Status? error, + string? uri, + global::Google.Gemini.VideoFileMetadata? videoMetadata, global::Google.Gemini.FileSource? source, - string? createTime, - string? uri) + string? downloadUri, + global::Google.Gemini.FileState? state, + string? updateTime) { - this.VideoMetadata = videoMetadata; + this.CreateTime = createTime; + this.Sha256Hash = sha256Hash; + this.DisplayName = displayName; + this.ExpirationTime = expirationTime; + this.SizeBytes = sizeBytes; + this.Name = name; + this.MimeType = mimeType; this.Error = error; + this.Uri = uri; + this.VideoMetadata = videoMetadata; + this.Source = source; this.DownloadUri = downloadUri; - this.MimeType = mimeType; this.State = state; - this.Name = name; - this.ExpirationTime = expirationTime; - this.DisplayName = displayName; - this.SizeBytes = sizeBytes; this.UpdateTime = updateTime; - this.Sha256Hash = sha256Hash; - this.Source = source; - this.CreateTime = createTime; - this.Uri = uri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index 941bbd059..4f1999e35 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FileSearch { + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } + /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// @@ -20,12 +26,6 @@ public sealed partial class FileSearch [global::System.Text.Json.Serialization.JsonPropertyName("topK")] public int? TopK { get; set; } - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// /// /// Optional. The number of semantic retrieval chunks to retrieve. /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( + string? metadataFilter, global::System.Collections.Generic.IList? fileSearchStoreNames, - int? topK, - string? metadataFilter) + int? topK) { + this.MetadataFilter = metadataFilter; this.FileSearchStoreNames = fileSearchStoreNames; this.TopK = topK; - this.MetadataFilter = metadataFilter; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 3cb8b9e2e..cfba65926 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. 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 have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
@@ -37,24 +36,18 @@ public sealed partial class FileSearchStore public string? PendingDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { 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" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
@@ -63,6 +56,13 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] public string? ActiveDocumentsCount { get; set; } + /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -72,58 +72,58 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// 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 have failed processing.
/// Included only in responses /// + /// + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// /// /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
- /// Included only in responses - /// /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" - /// /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// + /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? name, - string? createTime, - string? updateTime, - string? pendingDocumentsCount, string? failedDocumentsCount, - string? sizeBytes, string? displayName, - string? activeDocumentsCount) + string? createTime, + string? pendingDocumentsCount, + string? name, + string? updateTime, + string? activeDocumentsCount, + string? sizeBytes) { - this.Name = name; - this.CreateTime = createTime; - this.UpdateTime = updateTime; - this.PendingDocumentsCount = pendingDocumentsCount; this.FailedDocumentsCount = failedDocumentsCount; - this.SizeBytes = sizeBytes; this.DisplayName = displayName; + this.CreateTime = createTime; + this.PendingDocumentsCount = pendingDocumentsCount; + this.Name = name; + this.UpdateTime = updateTime; this.ActiveDocumentsCount = activeDocumentsCount; + this.SizeBytes = sizeBytes; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index d8965a5f9..310f34cc6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// @@ -26,6 +20,12 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. - /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// /// /// Optional. The function parameters and values in JSON object format. /// + /// + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? id, string? name, - object? args) + object? args, + string? id) { - this.Id = id; this.Name = name; this.Args = args; + this.Id = id; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs index 4f2fd7633..34bb1ab5c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCallingConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionCallingConfig { + /// + /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] + public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } + /// /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. /// @@ -15,12 +21,6 @@ public sealed partial class FunctionCallingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter))] public global::Google.Gemini.FunctionCallingConfigMode? Mode { get; set; } - /// - /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("allowedFunctionNames")] - public global::System.Collections.Generic.IList? AllowedFunctionNames { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class FunctionCallingConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. - /// /// /// Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names. /// + /// + /// Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCallingConfig( - global::Google.Gemini.FunctionCallingConfigMode? mode, - global::System.Collections.Generic.IList? allowedFunctionNames) + global::System.Collections.Generic.IList? allowedFunctionNames, + global::Google.Gemini.FunctionCallingConfigMode? mode) { - this.Mode = mode; this.AllowedFunctionNames = allowedFunctionNames; + this.Mode = mode; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs index 890706c68..950038d51 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } - - /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } - /// /// 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). /// @@ -32,12 +20,30 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("description")] public string? Description { get; set; } + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } + /// /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } + + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } + /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -45,12 +51,6 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -60,46 +60,46 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. - /// - /// - /// Optional. 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). /// /// /// Required. A brief description of the function. /// + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// /// /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// - /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. - /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + /// + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - object? parametersJsonSchema, - object? responseJsonSchema, global::Google.Gemini.Schema? parameters, string? description, + object? parametersJsonSchema, string? name, - global::Google.Gemini.FunctionDeclarationBehavior? behavior, - global::Google.Gemini.Schema? response) + global::Google.Gemini.Schema? response, + object? responseJsonSchema, + global::Google.Gemini.FunctionDeclarationBehavior? behavior) { - this.ParametersJsonSchema = parametersJsonSchema; - this.ResponseJsonSchema = responseJsonSchema; this.Parameters = parameters; this.Description = description; + this.ParametersJsonSchema = parametersJsonSchema; this.Name = name; - this.Behavior = behavior; this.Response = response; + this.ResponseJsonSchema = responseJsonSchema; + this.Behavior = behavior; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index 339f911ce..095312266 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -9,16 +9,22 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. 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. 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; } /// /// 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`. @@ -26,6 +32,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] public bool? WillContinue { get; set; } + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// @@ -33,18 +45,6 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - - /// - /// 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. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( + string? name, + object? response, string? id, - global::System.Collections.Generic.IList? parts, bool? willContinue, - global::Google.Gemini.FunctionResponseScheduling? scheduling, - object? response, - string? name) + global::System.Collections.Generic.IList? parts, + global::Google.Gemini.FunctionResponseScheduling? scheduling) { + this.Name = name; + this.Response = response; this.Id = id; - this.Parts = parts; this.WillContinue = willContinue; + this.Parts = parts; this.Scheduling = scheduling; - this.Response = response; - this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs index 68b61c647..d727aa3ec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionResponseBlob { - /// - /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FunctionResponseBlob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). - /// /// /// Raw bytes for media formats. /// + /// + /// 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). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponseBlob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index e7684d6cf..cfe0ac089 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs @@ -9,16 +9,18 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Required. The user-defined name of this batch. + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Stats about the batch. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// /// Output only. The time at which the batch was last updated.
@@ -28,16 +30,16 @@ public sealed partial class GenerateContentBatch public string? UpdateTime { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.BatchStats? 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. + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { 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.
@@ -47,18 +49,10 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } - - /// - /// 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}`. /// - [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; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
@@ -67,6 +61,18 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } + + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. The time at which the batch was created.
/// Included only in responses @@ -74,12 +80,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Stats about the batch. + /// + /// Output only. The state of the batch.
+ /// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// Stats about the batch. /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// 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}`. /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// + /// + /// Configures the input to the batch request. + /// + /// + /// Required. The user-defined name of this batch. + /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Configures the input to the batch request. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? displayName, - global::Google.Gemini.BatchStats? batchStats, - string? updateTime, - string? model, string? priority, - string? endTime, - global::Google.Gemini.GenerateContentBatchOutput? output, global::Google.Gemini.GenerateContentBatchState? state, + string? updateTime, + global::Google.Gemini.BatchStats? batchStats, + global::Google.Gemini.GenerateContentBatchOutput? output, + string? endTime, + string? model, string? name, - string? createTime, - global::Google.Gemini.InputConfig? inputConfig) + global::Google.Gemini.InputConfig? inputConfig, + string? displayName, + string? createTime) { - this.DisplayName = displayName; - this.BatchStats = batchStats; - this.UpdateTime = updateTime; - this.Model = model; this.Priority = priority; - this.EndTime = endTime; - this.Output = output; this.State = state; + this.UpdateTime = updateTime; + this.BatchStats = batchStats; + this.Output = output; + this.EndTime = endTime; + this.Model = model; this.Name = name; - this.CreateTime = createTime; this.InputConfig = inputConfig; + this.DisplayName = displayName; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs index ca3508f3a..12a631bfb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatchOutput.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GenerateContentBatchOutput { + /// + /// The responses to the requests in the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] + public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } + /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses @@ -15,12 +21,6 @@ public sealed partial class GenerateContentBatchOutput [global::System.Text.Json.Serialization.JsonPropertyName("responsesFile")] public string? ResponsesFile { get; set; } - /// - /// The responses to the requests in the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlinedResponses")] - public global::Google.Gemini.InlinedResponses? InlinedResponses { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,22 +30,22 @@ public sealed partial class GenerateContentBatchOutput /// /// Initializes a new instance of the class. /// + /// + /// The responses to the requests in the batch. + /// /// /// Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.
/// Included only in responses /// - /// - /// The responses to the requests in the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatchOutput( - string? responsesFile, - global::Google.Gemini.InlinedResponses? inlinedResponses) + global::Google.Gemini.InlinedResponses? inlinedResponses, + string? responsesFile) { - this.ResponsesFile = responsesFile; this.InlinedResponses = inlinedResponses; + this.ResponsesFile = responsesFile; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs index da38a0a14..8d0fb8068 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 @@ -9,65 +9,65 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { 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}` + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Optional. The service tier of the request. + /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - [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("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Optional. The service tier of the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { 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; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// 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("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { 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. /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - /// - /// Optional. The service tier of the request. + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. - /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// 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 GenerateContentRequest( - global::Google.Gemini.GenerationConfig? generationConfig, - global::System.Collections.Generic.IList? tools, - string? cachedContent, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + global::System.Collections.Generic.IList? contents, global::Google.Gemini.Content? systemInstruction, + string? model, global::System.Collections.Generic.IList? safetySettings, - global::System.Collections.Generic.IList? contents, global::Google.Gemini.ToolConfig? toolConfig, - bool? store, - string? model) + global::Google.Gemini.GenerationConfig? generationConfig, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + global::System.Collections.Generic.IList? tools, + string? cachedContent, + bool? store) { - this.GenerationConfig = generationConfig; - this.Tools = tools; - this.CachedContent = cachedContent; - this.ServiceTier = serviceTier; + this.Contents = contents; this.SystemInstruction = systemInstruction; + this.Model = model; this.SafetySettings = safetySettings; - this.Contents = contents; this.ToolConfig = toolConfig; + this.GenerationConfig = generationConfig; + this.ServiceTier = serviceTier; + this.Tools = tools; + this.CachedContent = cachedContent; this.Store = store; - this.Model = model; } /// 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 10f29b22c..88614b056 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GenerateContentResponse { - /// - /// Metadata on the generation request's token usage. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } - /// /// Candidate responses from the model. /// [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] public global::System.Collections.Generic.IList? Candidates { get; set; } + /// + /// Metadata on the generation request's token usage. + /// + [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 @@ -28,11 +28,10 @@ public sealed partial class GenerateContentResponse public string? ModelVersion { get; set; } /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. @@ -41,10 +40,11 @@ public sealed partial class GenerateContentResponse 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. + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the generation request's token usage. - /// /// /// Candidate responses from the model. /// + /// + /// 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 + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::Google.Gemini.UsageMetadata? usageMetadata, global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.UsageMetadata? usageMetadata, string? modelVersion, - string? responseId, + global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.PromptFeedback? promptFeedback, - global::Google.Gemini.ModelStatus? modelStatus) + string? responseId) { - this.UsageMetadata = usageMetadata; this.Candidates = candidates; + this.UsageMetadata = usageMetadata; this.ModelVersion = modelVersion; - this.ResponseId = responseId; - this.PromptFeedback = promptFeedback; this.ModelStatus = modelStatus; + this.PromptFeedback = promptFeedback; + this.ResponseId = responseId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index 1390d7970..91d9bac5c 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 @@ -8,24 +8,12 @@ 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; } - /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } - /// - /// MIME type of the generatedFile. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -34,6 +22,18 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter))] public global::Google.Gemini.GeneratedFileState? State { get; set; } + /// + /// 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 /// @@ -43,32 +43,32 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// MIME type of the generatedFile. - /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses /// + /// + /// 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( - string? name, global::Google.Gemini.Status? error, - string? mimeType, - global::Google.Gemini.GeneratedFileState? state) + global::Google.Gemini.GeneratedFileState? state, + string? name, + string? mimeType) { - this.Name = name; this.Error = error; - this.MimeType = mimeType; this.State = state; + this.Name = name; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 107c9205b..65849af92 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 @@ -9,22 +9,34 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { 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 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("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + + /// + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } + + /// + /// Config for image generation features. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { 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). @@ -33,10 +45,10 @@ public sealed partial class GenerationConfig public global::Google.Gemini.Schema? ResponseSchema { 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. 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("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. @@ -45,35 +57,35 @@ public sealed partial class GenerationConfig public int? Seed { get; set; } /// - /// Config for image generation features. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [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("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { 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. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. 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("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// /// Optional. Enables enhanced civic answers. It may not be available for all models. @@ -82,16 +94,10 @@ public sealed partial class GenerationConfig public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } - - /// - /// Config for speech generation and transcription. + /// 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("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } /// /// Optional. If true, export the logprobs results in response. @@ -100,34 +106,28 @@ public sealed partial class GenerationConfig public bool? ResponseLogprobs { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } - - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// - /// 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. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -138,111 +138,111 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The maximum 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. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// 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. 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. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// + /// Config for image generation features. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. 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. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - /// - /// Config for image generation features. + /// + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - /// - /// Optional. If specified, the media resolution specified will be used. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - /// - /// 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 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 specified, the media resolution specified will be used. /// - /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// /// /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. - /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// /// /// Optional. If true, export the logprobs results in response. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + /// Config for speech generation and transcription. /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. 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. + /// + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - float? topP, - object? responseJsonSchema, - string? responseMimeType, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + int? candidateCount, + int? topK, + float? frequencyPenalty, + global::Google.Gemini.ImageConfig? imageConfig, global::Google.Gemini.Schema? responseSchema, - int? logprobs, + float? temperature, int? seed, - global::Google.Gemini.ImageConfig? imageConfig, + global::System.Collections.Generic.IList? responseModalities, + int? maxOutputTokens, + float? topP, global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - int? candidateCount, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - float? presencePenalty, + string? responseMimeType, bool? enableEnhancedCivicAnswers, - float? temperature, - global::Google.Gemini.SpeechConfig? speechConfig, - bool? responseLogprobs, - global::System.Collections.Generic.IList? responseModalities, global::System.Collections.Generic.IList? stopSequences, - int? topK, - float? frequencyPenalty, - int? maxOutputTokens) + bool? responseLogprobs, + global::Google.Gemini.SpeechConfig? speechConfig, + object? responseJsonSchema, + float? presencePenalty, + int? logprobs) { - this.TopP = topP; - this.ResponseJsonSchema = responseJsonSchema; - this.ResponseMimeType = responseMimeType; + this.ThinkingConfig = thinkingConfig; + this.CandidateCount = candidateCount; + this.TopK = topK; + this.FrequencyPenalty = frequencyPenalty; + this.ImageConfig = imageConfig; this.ResponseSchema = responseSchema; - this.Logprobs = logprobs; + this.Temperature = temperature; this.Seed = seed; - this.ImageConfig = imageConfig; + this.ResponseModalities = responseModalities; + this.MaxOutputTokens = maxOutputTokens; + this.TopP = topP; this.MediaResolution = mediaResolution; - this.CandidateCount = candidateCount; - this.ThinkingConfig = thinkingConfig; - this.PresencePenalty = presencePenalty; + this.ResponseMimeType = responseMimeType; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.Temperature = temperature; - this.SpeechConfig = speechConfig; - this.ResponseLogprobs = responseLogprobs; - this.ResponseModalities = responseModalities; this.StopSequences = stopSequences; - this.TopK = topK; - this.FrequencyPenalty = frequencyPenalty; - this.MaxOutputTokens = maxOutputTokens; + this.ResponseLogprobs = responseLogprobs; + this.SpeechConfig = speechConfig; + this.ResponseJsonSchema = responseJsonSchema; + this.PresencePenalty = presencePenalty; + this.Logprobs = logprobs; } /// 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 2222d793e..53b770ead 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 @@ -14,12 +14,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] - public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } - /// /// Segment of the content. /// @@ -33,6 +27,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,9 +45,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// /// /// Segment of the content. /// @@ -55,19 +52,22 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( global::System.Collections.Generic.IList? confidenceScores, - global::System.Collections.Generic.IList? groundingChunkIndices, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, - global::System.Collections.Generic.IList? renderedParts) + global::System.Collections.Generic.IList? renderedParts, + global::System.Collections.Generic.IList? groundingChunkIndices) { this.ConfidenceScores = confidenceScores; - this.GroundingChunkIndices = groundingChunkIndices; this.Segment = segment; this.RenderedParts = renderedParts; + this.GroundingChunkIndices = groundingChunkIndices; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index 06a377fbc..d6183e502 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 @@ -8,18 +8,6 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } - /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -32,6 +20,18 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { 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; } + + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] + public int? StartIndex { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ 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 text corresponding to the segment from the response. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? partIndex, - int? startIndex, int? endIndex, - string? text) + string? text, + int? partIndex, + int? startIndex) { - this.PartIndex = partIndex; - this.StartIndex = startIndex; this.EndIndex = endIndex; this.Text = text; + this.PartIndex = partIndex; + this.StartIndex = startIndex; } /// 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 26223c8fd..fadfe83a1 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 019474e9b..3ee594d4b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GroundingChunk { - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { get; set; } - - /// - /// Chunk from context retrieved by the file search tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] - public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } - /// /// Chunk from the web. /// @@ -32,6 +20,18 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("image")] public global::Google.Gemini.Image? Image { get; set; } + /// + /// Chunk from context retrieved by the file search tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] + public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } + + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// 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 the web. /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Maps? maps, - global::Google.Gemini.RetrievedContext? retrievedContext, global::Google.Gemini.Web? web, - global::Google.Gemini.Image? image) + global::Google.Gemini.Image? image, + global::Google.Gemini.RetrievedContext? retrievedContext, + global::Google.Gemini.Maps? maps) { - this.Maps = maps; - this.RetrievedContext = retrievedContext; this.Web = web; this.Image = image; + this.RetrievedContext = retrievedContext; + this.Maps = maps; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index 8a93f9b96..52714bd97 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 @@ -8,18 +8,6 @@ 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; } - - /// - /// The key of the metadata. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } - /// /// A list of string values. /// @@ -32,6 +20,18 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] public float? NumericValue { get; set; } + /// + /// The key of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } + + /// + /// Optional. The string value of the metadata. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// Optional. The string value of the metadata. - /// - /// - /// The key of the metadata. - /// /// /// A list of string values. /// /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// + /// + /// The key of the metadata. + /// + /// + /// Optional. The string value of the metadata. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - string? stringValue, - string? key, global::Google.Gemini.GroundingChunkStringList? stringListValue, - float? numericValue) + float? numericValue, + string? key, + string? stringValue) { - this.StringValue = stringValue; - this.Key = key; this.StringListValue = stringListValue; this.NumericValue = numericValue; + this.Key = key; + this.StringValue = stringValue; } /// 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 18a5e838b..fea37cc81 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 @@ -9,22 +9,16 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// Google search entry point. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - - /// - /// Web search queries for the following-up web search. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// /// Metadata related to retrieval in the grounding flow. @@ -32,12 +26,6 @@ public sealed partial class GroundingMetadata [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } - /// - /// Image search queries used for grounding. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { 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. /// @@ -45,10 +33,22 @@ public sealed partial class GroundingMetadata public string? GoogleMapsWidgetContextToken { get; set; } /// - /// List of grounding support. + /// Google search entry point. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { 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; } + + /// + /// 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; } /// /// 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. /// - /// - /// Google search entry point. - /// - /// - /// Web search queries for the following-up web search. + /// + /// List of grounding support. /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + /// Image search queries used for grounding. /// /// /// Metadata related to retrieval in the grounding flow. /// - /// - /// Image search queries used for grounding. - /// /// /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// - /// - /// List of grounding support. + /// + /// Google search entry point. + /// + /// + /// Web search queries for the following-up web search. + /// + /// + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? webSearchQueries, - global::System.Collections.Generic.IList? groundingChunks, - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::System.Collections.Generic.IList? groundingSupports, global::System.Collections.Generic.IList? imageSearchQueries, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, string? googleMapsWidgetContextToken, - global::System.Collections.Generic.IList? groundingSupports) + global::Google.Gemini.SearchEntryPoint? searchEntryPoint, + global::System.Collections.Generic.IList? webSearchQueries, + global::System.Collections.Generic.IList? groundingChunks) { + this.GroundingSupports = groundingSupports; + this.ImageSearchQueries = imageSearchQueries; + this.RetrievalMetadata = retrievalMetadata; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.SearchEntryPoint = searchEntryPoint; this.WebSearchQueries = webSearchQueries; this.GroundingChunks = groundingChunks; - this.RetrievalMetadata = retrievalMetadata; - this.ImageSearchQueries = imageSearchQueries; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; - 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 bc141df30..09b5305ed 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. + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [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. @@ -21,10 +21,10 @@ public sealed partial class Hyperparameters 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. + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. @@ -41,14 +41,14 @@ 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. + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. @@ -57,14 +57,14 @@ public sealed partial class Hyperparameters [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - float? learningRate, - int? batchSize, float? learningRateMultiplier, + int? batchSize, + float? learningRate, int? epochCount) { - this.LearningRate = learningRate; - this.BatchSize = batchSize; this.LearningRateMultiplier = learningRateMultiplier; + this.BatchSize = batchSize; + this.LearningRate = learningRate; this.EpochCount = epochCount; } 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 9827c1bf7..0659cdb31 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Image { + /// + /// The web page URI for attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { get; set; } + /// /// The title of the web page that the image is from. /// @@ -26,12 +32,6 @@ public sealed partial class Image [global::System.Text.Json.Serialization.JsonPropertyName("domain")] public string? Domain { get; set; } - /// - /// The web page URI for attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,6 +41,9 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// + /// + /// The web page URI for attribution. + /// /// /// The title of the web page that the image is from. /// @@ -50,22 +53,19 @@ public sealed partial class Image /// /// The root domain of the web page that the image is from, e.g. "example.com". /// - /// - /// The web page URI for attribution. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( + string? sourceUri, string? title, string? imageUri, - string? domain, - string? sourceUri) + string? domain) { + this.SourceUri = sourceUri; this.Title = title; this.ImageUri = imageUri; this.Domain = domain; - this.SourceUri = sourceUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 99bdd63dd..16ecdeeba 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ImportFileRequest { /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] + public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } /// /// Custom metadata to be associated with the file. @@ -21,10 +21,10 @@ public sealed partial class ImportFileRequest public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// Required. The name of the `File` to import. Example: `files/abc-123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] - public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Custom metadata to be associated with the file. /// - /// - /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( - string? fileName, + global::Google.Gemini.ChunkingConfig? chunkingConfig, global::System.Collections.Generic.IList? customMetadata, - global::Google.Gemini.ChunkingConfig? chunkingConfig) + string? fileName) { - this.FileName = fileName; - this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; + this.CustomMetadata = customMetadata; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index c70f6aa29..a3b4bba3f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Request containing the `Content` for the model to embed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("request")] - public global::Google.Gemini.EmbedContentRequest? Request { get; set; } - /// /// Optional. The metadata to be associated with the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// Request containing the `Content` for the model to embed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("request")] + public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Request containing the `Content` for the model to embed. - /// /// /// Optional. The metadata to be associated with the request. /// + /// + /// Request containing the `Content` for the model to embed. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - global::Google.Gemini.EmbedContentRequest? request, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentRequest? request) { - this.Request = request; this.Metadata = metadata; + this.Request = request; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index 67da504c8..5849d8d11 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -14,6 +14,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -21,12 +27,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,24 +39,24 @@ public sealed partial class InlinedEmbedContentResponse /// /// The response to an `EmbedContentRequest`. /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( global::Google.Gemini.EmbedContentResponse? response, - object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + object? metadata) { this.Response = response; - this.Metadata = metadata; this.Error = error; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 9548e6f44..22ff99f8e 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 { /// - /// 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; } /// /// Output only. The metadata associated with the request.
@@ -22,10 +22,10 @@ public sealed partial class InlinedResponse public object? Metadata { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// 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; } /// /// 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. /// - /// - /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// - /// - /// 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`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.GenerateContentResponse? response, + global::Google.Gemini.Status? error, object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.GenerateContentResponse? response) { - this.Response = response; - this.Metadata = metadata; this.Error = error; + this.Metadata = metadata; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index acc98cfe5..d91125c9f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputEmbedContentConfig { - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("requests")] - public global::Google.Gemini.InlinedEmbedContentRequests? Requests { get; set; } - /// /// The name of the `File` containing the input requests. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] public string? FileName { get; set; } + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("requests")] + public global::Google.Gemini.InlinedEmbedContentRequests? Requests { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputEmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// The requests to be processed in the batch if provided as part of the batch creation request. - /// /// /// The name of the `File` containing the input requests. /// + /// + /// The requests to be processed in the batch if provided as part of the batch creation request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputEmbedContentConfig( - global::Google.Gemini.InlinedEmbedContentRequests? requests, - string? fileName) + string? fileName, + global::Google.Gemini.InlinedEmbedContentRequests? requests) { - this.Requests = requests; this.FileName = fileName; + this.Requests = requests; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index d8960e0af..6b112b840 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCachedContentsResponse { - /// - /// List of cached contents. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] - public global::System.Collections.Generic.IList? CachedContents { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// List of cached contents. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] + public global::System.Collections.Generic.IList? CachedContents { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCachedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// List of cached contents. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. /// + /// + /// List of cached contents. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - global::System.Collections.Generic.IList? cachedContents, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? cachedContents) { - this.CachedContents = cachedContents; this.NextPageToken = nextPageToken; + this.CachedContents = cachedContents; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs index a3b1d8553..9e87f2f8e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListDocumentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListDocumentsResponse { - /// - /// 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 `Document`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("documents")] public global::System.Collections.Generic.IList? Documents { 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 ListDocumentsResponse /// /// 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 `Document`s. /// + /// + /// 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 ListDocumentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? documents) + global::System.Collections.Generic.IList? documents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Documents = documents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index b64b02ebd..841ed8850 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned rag_stores. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// + /// 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 ListFileSearchStoresResponse /// /// 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 rag_stores. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? fileSearchStores) + global::System.Collections.Generic.IList? fileSearchStores, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.FileSearchStores = fileSearchStores; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs index 1c3748085..040a93da8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListModelsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned Models. /// [global::System.Text.Json.Serialization.JsonPropertyName("models")] public global::System.Collections.Generic.IList? Models { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned Models. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListModelsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? models) + global::System.Collections.Generic.IList? models, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Models = models; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index 35553f7f9..ba86db665 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -14,18 +14,18 @@ public sealed partial class ListOperationsResponse [global::System.Text.Json.Serialization.JsonPropertyName("operations")] public global::System.Collections.Generic.IList? Operations { get; set; } - /// - /// The standard List next-page token. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] public global::System.Collections.Generic.IList? Unreachable { get; set; } + /// + /// The standard List next-page token. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ListOperationsResponse /// /// A list of operations that matches the specified filter in the request. /// - /// - /// The standard List next-page token. - /// /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// + /// + /// The standard List next-page token. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( global::System.Collections.Generic.IList? operations, - string? nextPageToken, - global::System.Collections.Generic.IList? unreachable) + global::System.Collections.Generic.IList? unreachable, + string? nextPageToken) { this.Operations = operations; - this.NextPageToken = nextPageToken; this.Unreachable = unreachable; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs index a07e2cf38..d4ed378bc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListPermissionsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListPermissionsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// Returned permissions. /// [global::System.Text.Json.Serialization.JsonPropertyName("permissions")] public global::System.Collections.Generic.IList? Permissions { get; set; } + /// + /// 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 ListPermissionsResponse /// /// 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. - /// /// /// Returned permissions. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListPermissionsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? permissions) + global::System.Collections.Generic.IList? permissions, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Permissions = permissions; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 296ff44e1..d717cd002 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] - public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } - /// /// Sum of log probabilities for all tokens. /// [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] public float? LogProbabilitySum { get; set; } + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] + public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// /// Length = total number of decoding steps. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// /// /// Sum of log probabilities for all tokens. /// + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// /// /// Length = total number of decoding steps. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - global::System.Collections.Generic.IList? chosenCandidates, float? logProbabilitySum, + global::System.Collections.Generic.IList? chosenCandidates, global::System.Collections.Generic.IList? topCandidates) { - this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; + this.ChosenCandidates = chosenCandidates; this.TopCandidates = topCandidates; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 0d7b89520..5c9ddd1b0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LogprobsResultCandidate { - /// - /// The candidate's log probability. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] - public float? LogProbability { get; set; } - /// /// The candidate’s token string value. /// [global::System.Text.Json.Serialization.JsonPropertyName("token")] public string? Token { get; set; } + /// + /// The candidate's log probability. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] + public float? LogProbability { get; set; } + /// /// The candidate’s token id value. /// @@ -35,12 +35,12 @@ 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 log probability. + /// /// /// The candidate’s token id value. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResultCandidate [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - float? logProbability, string? token, + float? logProbability, int? tokenId) { - this.LogProbability = logProbability; this.Token = token; + this.LogProbability = logProbability; this.TokenId = tokenId; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 8639249b1..9de8d0554 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Maps { - /// - /// URI reference of the place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } - /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// @@ -26,18 +20,24 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { get; set; } - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } - /// /// Title of the place. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// URI reference of the place. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// 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. /// /// /// Text description of the place answer. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// /// /// Title of the place. /// + /// + /// URI reference of the place. + /// + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? uri, string? placeId, string? text, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? title) + string? title, + string? uri, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.Uri = uri; this.PlaceId = placeId; this.Text = text; - this.PlaceAnswerSources = placeAnswerSources; this.Title = title; + this.Uri = uri; + this.PlaceAnswerSources = placeAnswerSources; } /// 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 a0e0ad9ff..55e603d10 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 @@ -8,36 +8,24 @@ namespace Google.Gemini /// public sealed partial class Model { - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - 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` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] public string? BaseModelId { get; set; } - /// - /// The maximum temperature this model can use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { 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; } + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } + /// /// Maximum number of input tokens allowed for this model. /// @@ -45,34 +33,34 @@ public sealed partial class Model public int? InputTokenLimit { get; set; } /// - /// A short description of the model. + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Maximum number of output tokens available for this model. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Whether the model supports thinking. + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) @@ -81,10 +69,22 @@ public sealed partial class Model public string? Version { get; set; } /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + + /// + /// The maximum temperature this model can use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { 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 @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// 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` - /// /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// The maximum temperature this model can use. - /// /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// /// /// Maximum number of input tokens allowed for this model. /// + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// /// /// A short description of the model. /// + /// + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. + /// /// /// Maximum number of output tokens available for this model. /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// /// /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// + /// + /// The maximum temperature this model can use. + /// /// /// Whether the model supports thinking. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - float? topP, - string? name, string? baseModelId, - float? maxTemperature, string? displayName, + float? temperature, int? inputTokenLimit, + float? topP, string? description, + string? name, + int? topK, int? outputTokenLimit, - global::System.Collections.Generic.IList? supportedGenerationMethods, - bool? thinking, - float? temperature, string? version, - int? topK) + global::System.Collections.Generic.IList? supportedGenerationMethods, + float? maxTemperature, + bool? thinking) { - this.TopP = topP; - this.Name = name; this.BaseModelId = baseModelId; - this.MaxTemperature = maxTemperature; this.DisplayName = displayName; + this.Temperature = temperature; this.InputTokenLimit = inputTokenLimit; + this.TopP = topP; this.Description = description; + this.Name = name; + this.TopK = topK; this.OutputTokenLimit = outputTokenLimit; + this.Version = version; this.SupportedGenerationMethods = supportedGenerationMethods; + this.MaxTemperature = maxTemperature; this.Thinking = thinking; - this.Temperature = temperature; - this.Version = version; - this.TopK = topK; } /// 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 ad41b18b6..0da3ec088 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { + /// + /// The time at which the model will be retired. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] + public string? RetirementTime { get; set; } + /// /// The stage of the underlying model. /// @@ -21,12 +27,6 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } - /// - /// The time at which the model will be retired. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] - public string? RetirementTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// + /// + /// The time at which the model will be retired. + /// /// /// The stage of the underlying model. /// /// /// A message explaining the model status. /// - /// - /// The time at which the model will be retired. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( + string? retirementTime, global::Google.Gemini.ModelStatusModelStage? modelStage, - string? message, - string? retirementTime) + string? message) { + this.RetirementTime = retirementTime; this.ModelStage = modelStage; this.Message = message; - this.RetirementTime = retirementTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index a763fe79d..645e0f3a0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class Operation { + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// 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. /// @@ -15,10 +21,10 @@ public sealed partial class Operation public bool? Done { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// 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("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -27,16 +33,10 @@ public sealed partial class Operation public object? Response { get; set; } /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// 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("metadata")] - public object? Metadata { 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. /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// 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 `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 Operation( + object? metadata, bool? done, - global::Google.Gemini.Status? error, - object? response, string? name, - object? metadata) + object? response, + global::Google.Gemini.Status? error) { + this.Metadata = metadata; this.Done = done; - this.Error = error; - this.Response = response; 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 f203d86c5..75ed50712 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -11,22 +11,22 @@ namespace Google.Gemini public sealed partial class Part { /// - /// 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`. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] - public global::Google.Gemini.ToolCall? ToolCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// - /// Optional. Indicates if the part is thought from the model. + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] + public global::Google.Gemini.ExecutableCode? ExecutableCode { 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. + /// 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("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolCall")] + public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. @@ -35,16 +35,10 @@ public sealed partial class Part public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } /// - /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("executableCode")] - public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } - - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// /// URI based data. @@ -53,22 +47,28 @@ public sealed partial class Part public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { get; set; } /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } /// /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. @@ -78,16 +78,16 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Inline text. + /// 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("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,29 +98,32 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// 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`. + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// Optional. Indicates if the part is thought from the model. + /// + /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// /// /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. /// - /// - /// 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. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// Optional. Indicates if the part is thought from the model. + /// + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// + /// Inline text. /// /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. @@ -128,41 +131,38 @@ public sealed partial class Part /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// Inline text. - /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + global::Google.Gemini.ExecutableCode? executableCode, global::Google.Gemini.ToolCall? toolCall, - bool? thought, - global::Google.Gemini.FunctionResponse? functionResponse, global::Google.Gemini.ToolResponse? toolResponse, - global::Google.Gemini.ExecutableCode? executableCode, - byte[]? thoughtSignature, + object? partMetadata, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + bool? thought, + byte[]? thoughtSignature, + string? text, global::Google.Gemini.Blob? inlineData, global::Google.Gemini.FunctionCall? functionCall, - string? text, - object? partMetadata) + global::Google.Gemini.FunctionResponse? functionResponse) { + this.CodeExecutionResult = codeExecutionResult; + this.ExecutableCode = executableCode; this.ToolCall = toolCall; - this.Thought = thought; - this.FunctionResponse = functionResponse; this.ToolResponse = toolResponse; - this.ExecutableCode = executableCode; - this.ThoughtSignature = thoughtSignature; + this.PartMetadata = partMetadata; this.FileData = fileData; - this.CodeExecutionResult = codeExecutionResult; + this.Thought = thought; + this.ThoughtSignature = thoughtSignature; + this.Text = text; this.InlineData = inlineData; this.FunctionCall = functionCall; - this.Text = text; - this.PartMetadata = partMetadata; + this.FunctionResponse = functionResponse; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs index eac5dd753..90108d5d1 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; } - /// /// 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. /// @@ -35,6 +28,13 @@ 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,10 +44,6 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// @@ -57,19 +53,23 @@ public sealed partial class Permission /// /// 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, string? emailAddress, global::Google.Gemini.PermissionGranteeType? granteeType, - global::Google.Gemini.PermissionRole? role) + global::Google.Gemini.PermissionRole? role, + string? name) { - this.Name = name; this.EmailAddress = emailAddress; this.GranteeType = granteeType; this.Role = role; + this.Name = name; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index 458cc7a70..f7e526d8a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -15,12 +21,6 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. - /// /// /// Ratings for safety of the prompt. There is at most one rating per category. /// + /// + /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::Google.Gemini.PromptFeedbackBlockReason? blockReason, - global::System.Collections.Generic.IList? safetyRatings) + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.PromptFeedbackBlockReason? blockReason) { - this.BlockReason = blockReason; this.SafetyRatings = safetyRatings; + this.BlockReason = blockReason; } /// 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 faa8515fe..bdd661acf 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class RetrievedContext { - /// - /// Optional. Page number of the retrieved context, if applicable. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pageNumber")] - public int? PageNumber { get; set; } - /// /// Optional. URI reference of the semantic retrieval document. /// @@ -26,18 +20,18 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] public string? FileSearchStore { get; set; } - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } - /// /// Optional. User-provided metadata about the retrieved context. /// [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// + /// Optional. Title of the document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Optional. Text of the chunk. /// @@ -45,10 +39,16 @@ public sealed partial class RetrievedContext public string? Text { get; set; } /// - /// Optional. Title of the document. + /// Optional. Page number of the retrieved context, if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [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} + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { 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. Page number of the retrieved context, if applicable. - /// /// /// Optional. URI reference of the semantic retrieval document. /// /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} - /// /// /// Optional. User-provided metadata about the retrieved context. /// + /// + /// Optional. Title of the document. + /// /// /// Optional. Text of the chunk. /// - /// - /// Optional. Title of the document. + /// + /// 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} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - int? pageNumber, string? uri, string? fileSearchStore, - string? mediaId, global::System.Collections.Generic.IList? customMetadata, + string? title, string? text, - string? title) + int? pageNumber, + string? mediaId) { - this.PageNumber = pageNumber; this.Uri = uri; this.FileSearchStore = fileSearchStore; - this.MediaId = mediaId; this.CustomMetadata = customMetadata; - this.Text = text; this.Title = title; + this.Text = text; + this.PageNumber = pageNumber; + this.MediaId = mediaId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index ba09cc052..77c5a29f5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. The category for this setting. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("category")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] - public global::Google.Gemini.SafetySettingCategory? Category { get; set; } - /// /// Required. Controls the probability threshold at which harm is blocked. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// + /// Required. The category for this setting. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("category")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] + public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. The category for this setting. - /// /// /// Required. Controls the probability threshold at which harm is blocked. /// + /// + /// Required. The category for this setting. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingCategory? category, - global::Google.Gemini.SafetySettingThreshold? threshold) + global::Google.Gemini.SafetySettingThreshold? threshold, + global::Google.Gemini.SafetySettingCategory? category) { - this.Category = category; this.Threshold = threshold; + this.Category = category; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index eb6544cca..96f07016a 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } - - /// - /// Optional. Properties of Type.OBJECT. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// /// 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). @@ -33,10 +27,16 @@ public sealed partial class Schema public string? MinItems { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } + + /// + /// Optional. Example of the object. Will only populated when the object is the root. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// /// Optional. The title of the schema. @@ -51,23 +51,16 @@ public sealed partial class Schema public string? MaxProperties { get; set; } /// - /// Required. Data type. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } - - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { 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. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER @@ -76,28 +69,28 @@ public sealed partial class Schema public double? Maximum { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// 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("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { get; set; } /// /// Optional. Minimum number of the properties for Type.OBJECT. @@ -106,34 +99,41 @@ public sealed partial class Schema public string? MinProperties { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum 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("minLength")] + public string? MinLength { get; set; } /// - /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// 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. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { get; set; } /// - /// Optional. Required 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("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } + + /// + /// Required. Data type. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// /// Optional. Maximum length of the Type.STRING @@ -150,11 +150,8 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). @@ -162,8 +159,11 @@ public sealed partial class Schema /// /// Optional. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// + /// Optional. Example of the object. Will only populated when the object is the root. /// /// /// Optional. The title of the schema. @@ -171,47 +171,47 @@ public sealed partial class Schema /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Required. Data type. - /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// Optional. Properties of Type.OBJECT. /// /// /// 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. + /// + /// 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. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// 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. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// /// /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. - /// - /// - /// 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. 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. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// /// /// Optional. Required properties of Type.OBJECT. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// + /// Required. Data type. /// /// /// Optional. Maximum length of the Type.STRING @@ -220,50 +220,50 @@ public sealed partial class Schema [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? minLength, - global::System.Collections.Generic.Dictionary? properties, + string? format, global::Google.Gemini.Schema? items, string? minItems, - bool? nullable, + string? pattern, + object? example, string? title, string? maxProperties, - global::Google.Gemini.SchemaType? type, - object? example, - global::System.Collections.Generic.IList? @enum, + bool? nullable, + global::System.Collections.Generic.Dictionary? properties, double? maximum, - string? format, - string? pattern, - string? description, - double? minimum, - string? minProperties, - global::System.Collections.Generic.IList? anyOf, - global::System.Collections.Generic.IList? propertyOrdering, + global::System.Collections.Generic.IList? @enum, object? @default, - global::System.Collections.Generic.IList? required, + global::System.Collections.Generic.IList? propertyOrdering, string? maxItems, + string? minProperties, + string? minLength, + global::System.Collections.Generic.IList? required, + double? minimum, + string? description, + global::System.Collections.Generic.IList? anyOf, + global::Google.Gemini.SchemaType? type, string? maxLength) { - this.MinLength = minLength; - this.Properties = properties; + this.Format = format; this.Items = items; this.MinItems = minItems; - this.Nullable = nullable; + this.Pattern = pattern; + this.Example = example; this.Title = title; this.MaxProperties = maxProperties; - this.Type = type; - this.Example = example; - this.Enum = @enum; + this.Nullable = nullable; + this.Properties = properties; this.Maximum = maximum; - this.Format = format; - this.Pattern = pattern; - this.Description = description; - this.Minimum = minimum; - this.MinProperties = minProperties; - this.AnyOf = anyOf; - this.PropertyOrdering = propertyOrdering; + this.Enum = @enum; this.Default = @default; - this.Required = required; + this.PropertyOrdering = propertyOrdering; this.MaxItems = maxItems; + this.MinProperties = minProperties; + this.MinLength = minLength; + this.Required = required; + this.Minimum = minimum; + this.Description = description; + this.AnyOf = anyOf; + this.Type = type; this.MaxLength = maxLength; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs index 3d9a8e713..7e6808c3a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SearchEntryPoint.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class SearchEntryPoint { - /// - /// Optional. Web content snippet that can be embedded in a web page or an app webview. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] - public string? RenderedContent { get; set; } - /// /// Optional. Base64 encoded JSON representing array of tuple. /// [global::System.Text.Json.Serialization.JsonPropertyName("sdkBlob")] public byte[]? SdkBlob { get; set; } + /// + /// Optional. Web content snippet that can be embedded in a web page or an app webview. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedContent")] + public string? RenderedContent { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class SearchEntryPoint /// /// Initializes a new instance of the class. /// - /// - /// Optional. Web content snippet that can be embedded in a web page or an app webview. - /// /// /// Optional. Base64 encoded JSON representing array of tuple. /// + /// + /// Optional. Web content snippet that can be embedded in a web page or an app webview. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SearchEntryPoint( - string? renderedContent, - byte[]? sdkBlob) + byte[]? sdkBlob, + string? renderedContent) { - this.RenderedContent = renderedContent; this.SdkBlob = sdkBlob; + this.RenderedContent = renderedContent; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 36dee628c..bef80e26e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } - /// - /// The configuration for the multi-speaker setup. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } - /// /// 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("languageCode")] public string? LanguageCode { get; set; } + /// + /// The configuration for the multi-speaker setup. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] + public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class SpeechConfig /// /// The configuration for the voice to use. /// - /// - /// The configuration for the multi-speaker setup. - /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// + /// + /// The configuration for the multi-speaker setup. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( global::Google.Gemini.VoiceConfig? voiceConfig, - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, - string? languageCode) + string? languageCode, + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) { this.VoiceConfig = voiceConfig; - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.LanguageCode = languageCode; + 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 fcc62f1a6..7f09920ee 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Status { /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// The status code, which should be an enum value of google.rpc.Code. /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } + [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. @@ -21,10 +21,10 @@ public sealed partial class Status public global::System.Collections.Generic.IList? Details { get; set; } /// - /// The status code, which should be an enum value of google.rpc.Code. + /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public int? Code { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// + /// The status code, which should be an enum value of google.rpc.Code. /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// - /// - /// The status code, which should be an enum value of google.rpc.Code. + /// + /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - string? message, + int? code, global::System.Collections.Generic.IList? details, - int? code) + string? message) { - this.Message = message; - this.Details = details; this.Code = code; + this.Details = details; + this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index dc247ca86..34ec7a399 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -9,34 +9,34 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// Timeout for SSE read operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("headers")] - public global::System.Collections.Generic.Dictionary? Headers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// Whether to close the client session when the transport closes. /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } /// - /// HTTP timeout for regular operations. + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } /// - /// Whether to close the client session when the transport closes. + /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("headers")] + public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// - /// Timeout for SSE read operations. + /// HTTP timeout for regular operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// + /// 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" /// + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// /// /// HTTP timeout for regular operations. /// - /// - /// Whether to close the client session when the transport closes. - /// - /// - /// Timeout for SSE read operations. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - global::System.Collections.Generic.Dictionary? headers, - string? url, - string? timeout, + string? sseReadTimeout, bool? terminateOnClose, - string? sseReadTimeout) + string? url, + global::System.Collections.Generic.Dictionary? headers, + string? timeout) { - this.Headers = headers; + this.SseReadTimeout = sseReadTimeout; + this.TerminateOnClose = terminateOnClose; this.Url = url; + this.Headers = headers; this.Timeout = timeout; - this.TerminateOnClose = terminateOnClose; - this.SseReadTimeout = sseReadTimeout; } /// 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 4039e4746..609223691 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// /// Optional. MCP Servers to connect to. @@ -21,10 +27,16 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? McpServers { get; set; } /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } + + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. @@ -33,10 +45,10 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } /// /// Computer Use tool type. @@ -44,24 +56,12 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } - /// /// Tool to support URL context retrieval. /// [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] public global::Google.Gemini.UrlContext? UrlContext { 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; } - /// /// 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. /// - /// - /// 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. + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// /// /// Optional. MCP Servers to connect to. /// - /// - /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// /// /// Computer Use tool type. /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// /// /// Tool to support URL context retrieval. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.CodeExecution? codeExecution, - global::System.Collections.Generic.IList? mcpServers, + global::Google.Gemini.GoogleSearch? googleSearch, global::Google.Gemini.FileSearch? fileSearch, - global::System.Collections.Generic.IList? functionDeclarations, + global::System.Collections.Generic.IList? mcpServers, + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.GoogleMaps? googleMaps, + global::System.Collections.Generic.IList? functionDeclarations, + global::Google.Gemini.CodeExecution? codeExecution, global::Google.Gemini.ComputerUse? computerUse, - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.UrlContext? urlContext, - global::Google.Gemini.GoogleSearch? googleSearch) + global::Google.Gemini.UrlContext? urlContext) { - this.CodeExecution = codeExecution; - this.McpServers = mcpServers; + this.GoogleSearch = googleSearch; this.FileSearch = fileSearch; - this.FunctionDeclarations = functionDeclarations; + this.McpServers = mcpServers; + this.GoogleSearchRetrieval = googleSearchRetrieval; this.GoogleMaps = googleMaps; + this.FunctionDeclarations = functionDeclarations; + this.CodeExecution = codeExecution; this.ComputerUse = computerUse; - this.GoogleSearchRetrieval = googleSearchRetrieval; this.UrlContext = urlContext; - this.GoogleSearch = googleSearch; } /// 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 ae223c63a..eb31d18b5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolCall { /// - /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("args")] - public object? Args { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Required. The type of tool that was called. @@ -22,10 +22,10 @@ public sealed partial class ToolCall public global::Google.Gemini.ToolCallToolType? ToolType { get; set; } /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. /// /// /// Required. The type of tool that was called. /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( - object? args, + string? id, global::Google.Gemini.ToolCallToolType? toolType, - string? id) + object? args) { - this.Args = args; - this.ToolType = toolType; this.Id = id; + 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 066ff4f1b..ba6504675 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 { - /// - /// Retrieval config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } - /// /// Configuration for specifying function calling behavior. /// @@ -26,6 +20,12 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] public bool? IncludeServerSideToolInvocations { get; set; } + /// + /// Retrieval config. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Retrieval config. - /// /// /// Configuration for specifying function calling behavior. /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// + /// + /// Retrieval config. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.RetrievalConfig? retrievalConfig, global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - bool? includeServerSideToolInvocations) + bool? includeServerSideToolInvocations, + global::Google.Gemini.RetrievalConfig? retrievalConfig) { - this.RetrievalConfig = retrievalConfig; this.FunctionCallingConfig = functionCallingConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.RetrievalConfig = retrievalConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 7333cb0aa..21b7c61e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { + /// + /// Optional. The identifier of the tool call this response is for. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// @@ -21,12 +27,6 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonPropertyName("response")] public object? Response { get; set; } - /// - /// Optional. The identifier of the tool call this response is for. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// + /// + /// Optional. The identifier of the tool call this response is for. + /// /// /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// /// /// Optional. The tool response. /// - /// - /// Optional. The identifier of the tool call this response is for. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( + string? id, global::Google.Gemini.ToolResponseToolType? toolType, - object? response, - string? id) + object? response) { + this.Id = id; this.ToolType = toolType; this.Response = response; - this.Id = id; } /// 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 7f332279e..4d394f8f1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs @@ -9,25 +9,16 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } - - /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
- /// Included only in responses + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] - public global::Google.Gemini.TunedModelState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -36,30 +27,38 @@ public sealed partial class TunedModel public string? BaseModel { get; set; } /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// Output only. The timestamp when this model was created.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Output only. The timestamp when this model was created.
+ /// Tuning tasks that create tuned models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } + + /// + /// Output only. The state of the tuned model.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Optional. A short description of this model. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// 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. @@ -68,28 +67,29 @@ public sealed partial class TunedModel public float? Temperature { get; set; } /// - /// Tuning tasks that create tuned models. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] - public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Tuned model as a source for training a new model. + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Optional. 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. + /// + /// 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`
+ /// + /// 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` + /// + /// + /// Output only. The timestamp when this model was created.
/// Included only in responses /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Tuning tasks that create tuned models. + /// /// /// Output only. The state of the tuned model.
/// Included only in responses /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Output only. The timestamp when this model was updated.
/// Included only in responses /// - /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses - /// - /// - /// Optional. A short description of this model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// 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. + /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses /// - /// - /// Tuned model as a source for training a new model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. A short description of this model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - float? topP, - string? name, - global::Google.Gemini.TunedModelState? state, + global::Google.Gemini.TunedModelSource? tunedModelSource, + global::System.Collections.Generic.IList? readerProjectNumbers, string? baseModel, - string? displayName, - string? updateTime, string? createTime, - string? description, - float? temperature, + int? topK, global::Google.Gemini.TuningTask? tuningTask, - global::System.Collections.Generic.IList? readerProjectNumbers, - global::Google.Gemini.TunedModelSource? tunedModelSource, - int? topK) + global::Google.Gemini.TunedModelState? state, + string? updateTime, + float? temperature, + string? displayName, + string? name, + float? topP, + string? description) { - this.TopP = topP; - this.Name = name; - this.State = state; + this.TunedModelSource = tunedModelSource; + this.ReaderProjectNumbers = readerProjectNumbers; this.BaseModel = baseModel; - this.DisplayName = displayName; - this.UpdateTime = updateTime; this.CreateTime = createTime; - this.Description = description; - this.Temperature = temperature; - this.TuningTask = tuningTask; - this.ReaderProjectNumbers = readerProjectNumbers; - this.TunedModelSource = tunedModelSource; this.TopK = topK; + this.TuningTask = tuningTask; + this.State = state; + this.UpdateTime = updateTime; + this.Temperature = temperature; + this.DisplayName = displayName; + this.Name = name; + this.TopP = topP; + this.Description = description; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModelSource.g.cs index 8d81afc5e..9f62ece27 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.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index 2f0a63440..60c4281a2 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class TuningSnapshot { - /// - /// Output only. The epoch this step was part of.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } - /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -29,6 +22,13 @@ public sealed partial class TuningSnapshot [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] public string? ComputeTime { get; set; } + /// + /// Output only. The epoch this step was part of.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } + /// /// Output only. The tuning step.
/// Included only in responses @@ -45,10 +45,6 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The epoch this step was part of.
- /// Included only in responses - /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses @@ -57,6 +53,10 @@ public sealed partial class TuningSnapshot /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// + /// + /// Output only. The epoch this step was part of.
+ /// Included only in responses + /// /// /// Output only. The tuning step.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class TuningSnapshot [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? epoch, float? meanLoss, string? computeTime, + int? epoch, int? step) { - this.Epoch = epoch; this.MeanLoss = meanLoss; this.ComputeTime = computeTime; + this.Epoch = epoch; this.Step = step; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index de4300e40..aa6ec433c 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 @@ -22,18 +22,18 @@ public sealed partial class TuningTask public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } /// - /// Output only. The timestamp when tuning this model started.
+ /// Output only. Metrics collected during tuning.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Dataset for training or validation. @@ -57,14 +57,14 @@ public sealed partial class TuningTask /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// + /// + /// Output only. Metrics collected during tuning.
+ /// Included only in responses + /// /// /// Dataset for training or validation. /// @@ -74,14 +74,14 @@ public sealed partial class TuningTask public TuningTask( string? completeTime, global::Google.Gemini.Hyperparameters? hyperparameters, - global::System.Collections.Generic.IList? snapshots, string? startTime, + global::System.Collections.Generic.IList? snapshots, global::Google.Gemini.Dataset? trainingData) { this.CompleteTime = completeTime; this.Hyperparameters = hyperparameters; - this.Snapshots = snapshots; this.StartTime = startTime; + this.Snapshots = snapshots; this.TrainingData = trainingData; } 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 0db85dc48..cc5c6a9be 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class UploadToFileSearchStoreRequest { /// - /// Optional. Display name of the created document. + /// Custom metadata to be associated with the data. /// - [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; } /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto @@ -27,10 +27,10 @@ public sealed partial class UploadToFileSearchStoreRequest public string? MimeType { get; set; } /// - /// Custom metadata to be associated with the data. + /// Optional. Display name of the created document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,8 +41,8 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// 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 @@ -50,22 +50,22 @@ 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - string? displayName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.ChunkingConfig? chunkingConfig, string? mimeType, - global::System.Collections.Generic.IList? customMetadata) + string? displayName) { - this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; this.MimeType = mimeType; - this.CustomMetadata = customMetadata; + this.DisplayName = displayName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs index 961d09f9d..d2fe110ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UrlMetadata.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class UrlMetadata { + /// + /// Retrieved url by the tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] + public string? RetrievedUrl { get; set; } + /// /// Status of the url retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class UrlMetadata [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter))] public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? UrlRetrievalStatus { get; set; } - /// - /// Retrieved url by the tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievedUrl")] - public string? RetrievedUrl { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class UrlMetadata /// /// Initializes a new instance of the class. /// - /// - /// Status of the url retrieval. - /// /// /// Retrieved url by the tool. /// + /// + /// Status of the url retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UrlMetadata( - global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus, - string? retrievedUrl) + string? retrievedUrl, + global::Google.Gemini.UrlMetadataUrlRetrievalStatus? urlRetrievalStatus) { - this.UrlRetrievalStatus = urlRetrievalStatus; this.RetrievedUrl = retrievedUrl; + this.UrlRetrievalStatus = urlRetrievalStatus; } /// 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 1ff30db23..c00e39aad 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } - /// /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses @@ -22,31 +16,36 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses + /// Total token count for the generation request (prompt + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } + + /// + /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// /// Output only. List of modalities that were returned in the response.
@@ -56,23 +55,24 @@ public sealed partial class UsageMetadata public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Total token count for the generation request (prompt + response candidates). + /// Output only. Number of tokens of thoughts for thinking models.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -97,41 +97,41 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// /// /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// + /// + /// Total number of tokens across all the generated response candidates. + /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// + /// + /// Total token count for the generation request (prompt + response candidates). + /// + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// + /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// - /// - /// Output only. List of modalities that were returned in the response.
+ /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Total number of tokens across all the generated response candidates. - /// - /// - /// Total token count for the generation request (prompt + response candidates). - /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses + /// + /// Number of tokens in the cached part of the prompt (the cached content) /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( - int? promptTokenCount, global::System.Collections.Generic.IList? cacheTokensDetails, + int? candidatesTokenCount, + global::System.Collections.Generic.IList? promptTokensDetails, + int? totalTokenCount, + int? promptTokenCount, int? toolUsePromptTokenCount, - int? thoughtsTokenCount, + global::System.Collections.Generic.IList? candidatesTokensDetails, global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? thoughtsTokenCount, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, - int? candidatesTokenCount, - int? totalTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { - this.PromptTokenCount = promptTokenCount; this.CacheTokensDetails = cacheTokensDetails; + this.CandidatesTokenCount = candidatesTokenCount; + this.PromptTokensDetails = promptTokensDetails; + this.TotalTokenCount = totalTokenCount; + this.PromptTokenCount = promptTokenCount; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.ThoughtsTokenCount = thoughtsTokenCount; + this.CandidatesTokensDetails = candidatesTokensDetails; this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.ThoughtsTokenCount = thoughtsTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; - this.CandidatesTokenCount = candidatesTokenCount; - this.TotalTokenCount = totalTokenCount; - this.PromptTokensDetails = promptTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 9fc74e8f5..ee0d87dc7 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,19 +11,19 @@ } ], "paths": { - "/cachedContents/{cachedContentsId}": { - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.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": "cachedContentsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -39,53 +39,27 @@ } } } - }, - "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" - } - } - } - } - } - }, + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "cachedContentsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^batches/[^/]+$" } }, { "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" @@ -96,7 +70,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -107,7 +81,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -115,15 +89,23 @@ } } }, - "/cachedContents": { + "/batches": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, { "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": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -132,10 +114,18 @@ { "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": "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": { @@ -144,94 +134,113 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } + } + }, + "/batches/{batchesId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Operation" } } } } } - } - }, - "/files": { - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CreateFileRequest" - } + }, + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be deleted.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "integer", - "format": "int32" + "type": "string", + "pattern": "^batches/[^/]+$" } }, { - "name": "pageToken", + "name": "updateMask", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -239,19 +248,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "/dynamic/{dynamicId}:generateContent": { "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -259,7 +268,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -270,7 +279,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -278,82 +287,60 @@ } } }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "corporaId", + "name": "dynamicId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.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", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } - } - } - } - }, - "/corpora": { - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" - } + } + }, + "/corpora": { + "post": { + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } } } }, @@ -406,27 +393,55 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { + "/corpora/{corporaId}": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "operationsId", + "name": "corporaId", "in": "path", "required": true, + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^corpora/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Corpus" + } + } + } + } + } + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.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", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -436,7 +451,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -444,13 +459,13 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + "/corpora/{corporaId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -461,10 +476,10 @@ "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": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -474,13 +489,15 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/corpora/{corporaId}/permissions/{permissionsId}": { "patch": { "description": "Updates the permission.", "operationId": "corpora.permissions.patch", @@ -570,6 +587,42 @@ } } } + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", + "parameters": [ + { + "name": "permissionsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } } }, "/corpora/{corporaId}/permissions": { @@ -656,19 +709,26 @@ } } }, - "/files/{filesId}": { + "/files": { "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^files/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" } } ], @@ -678,35 +738,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/ListFilesResponse" } } } } } }, - "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", - "parameters": [ - { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", - "schema": { - "type": "string", - "pattern": "^files/[^/]+$" + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } } } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CreateFileResponse" } } } @@ -741,82 +798,57 @@ } } }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", "parameters": [ { - "name": "dynamicId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/File" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", "parameters": [ { - "name": "dynamicId", + "name": "filesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^files/[^/]+$" } } ], - "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" } } } @@ -824,58 +856,55 @@ } } }, - "/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", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "modelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -885,7 +914,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Empty" } } } @@ -893,15 +922,15 @@ } } }, - "/models": { + "/fileSearchStores": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -910,7 +939,7 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } @@ -922,35 +951,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { + }, "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -961,7 +976,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -969,19 +984,19 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "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": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "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. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -989,7 +1004,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -1000,7 +1015,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1008,38 +1023,37 @@ } } }, - "/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", + "/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": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1047,43 +1061,37 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1091,77 +1099,81 @@ } } }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Document" } } } } } - } - }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + }, + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1169,90 +1181,36 @@ } } }, - "/models/{modelsId}/operations": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "filter", + "name": "pageSize", "in": "query", - "description": "The standard list filter.", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" + "type": "integer", + "format": "int32" } }, { "name": "pageToken", "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" - } - } - } - } - } - } - }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "modelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1262,7 +1220,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -1270,46 +1228,35 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "/tunedModels/{tunedModelsId}": { + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "parameters": [ { "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TunedModel" } } } } } - } - }, - "/tunedModels/{tunedModelsId}": { + }, "patch": { "description": "Updates a tuned model.", "operationId": "tunedModels.patch", @@ -1383,19 +1330,36 @@ } } } - }, + } + }, + "/tunedModels": { "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -1405,27 +1369,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/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", + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } } ], @@ -1433,7 +1393,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1444,12 +1404,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1457,60 +1412,58 @@ } } }, - "/tunedModels": { - "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The 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/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}:streamGenerateContent": { "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", + "description": "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": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1518,7 +1471,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1529,7 +1482,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1537,10 +1495,10 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { + "/tunedModels/{tunedModelsId}:batchGenerateContent": { "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { "name": "tunedModelsId", @@ -1557,7 +1515,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1568,7 +1526,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1576,10 +1534,10 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { "name": "tunedModelsId", @@ -1596,7 +1554,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1607,7 +1565,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1756,9 +1714,9 @@ } }, "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { "name": "tunedModelsId", @@ -1785,17 +1743,17 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", - "parameters": [ + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", + "parameters": [ { "name": "tunedModelsId", "in": "path", @@ -1808,47 +1766,29 @@ "name": "permissionsId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", - "schema": { - "type": "string", - "format": "google-fieldmask" - } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Empty" } } } } } }, - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { "name": "tunedModelsId", @@ -1862,40 +1802,19 @@ "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "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/[^/]+$" } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", - "parameters": [ + }, { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "format": "google-fieldmask" } } ], @@ -1920,7 +1839,9 @@ } } } - }, + } + }, + "/tunedModels/{tunedModelsId}/permissions": { "get": { "description": "Lists permissions for the specific resource.", "operationId": "tunedModels.permissions.list", @@ -1965,67 +1886,77 @@ } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + }, + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "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" } } } } } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.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": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-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": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -2033,19 +1964,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/models/{modelsId}:countTokens": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "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": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The 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/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -2053,7 +1984,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -2064,7 +1995,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -2072,15 +2003,27 @@ } } }, - "/fileSearchStores": { + "/models/{modelsId}:generateContent": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -2091,42 +2034,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + } + }, + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -2134,37 +2081,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -2172,84 +2120,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { - "name": "operationsId", + "name": "modelsId", "in": "path", "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "type": "string", + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentRequest" } } } - } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -2257,81 +2159,43 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Document" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -2339,28 +2203,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/models/{modelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -2368,7 +2223,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -2379,7 +2234,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -2387,19 +2242,26 @@ } } }, - "/batches/{batchesId}": { - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "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" } } ], @@ -2409,25 +2271,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListModelsResponse" } } } } } - }, + } + }, + "/models/{modelsId}": { "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", + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -2437,7 +2301,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Model" } } } @@ -2445,10 +2309,10 @@ } } }, - "/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", @@ -2458,6 +2322,16 @@ "type": "string" } }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", @@ -2498,77 +2372,37 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ { - "name": "batchesId", + "name": "operationsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - } - } - } - }, - "/batches/{batchesId}:cancel": { - "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be cancelled.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -2650,1234 +2484,999 @@ } } } - } - }, - "components": { - "schemas": { - "DynamicRetrievalConfig": { - "properties": { - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" - }, - "mode": { - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], - "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." - ], - "description": "The mode of the predictor to be used in dynamic retrieval.", - "type": "string" - } - }, - "description": "Describes the options to customize dynamic retrieval.", - "type": "object" - }, - "ToolResponse": { - "properties": { - "toolType": { - "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." - ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "type": "string" - }, - "response": { - "description": "Optional. The tool response.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + }, + "/cachedContents/{cachedContentsId}": { + "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/[^/]+$" } - }, - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" } - }, - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", - "type": "object" - }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", - "type": "object", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } } } }, - "Permission": { - "properties": { - "name": { - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "type": "string", - "readOnly": true - }, - "emailAddress": { - "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", - "type": "string" - }, - "granteeType": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ], - "description": "Optional. Immutable. The type of the grantee.", - "type": "string", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ] - }, - "role": { - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" - ], - "description": "Required. The role granted by this permission.", - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ] + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } } - }, - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", - "type": "object" - }, - "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": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" - }, - "name": { - "description": "The name of the MCPServer.", - "type": "string" + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } } } }, - "Image": { - "description": "Chunk from image search.", - "type": "object", - "properties": { - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" - }, - "imageUri": { - "description": "The image asset URL.", - "type": "string" - }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } }, - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } } - } - }, - "Status": { - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", - "type": "object", - "properties": { - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", - "type": "string" - }, - "details": { - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "type": "array", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" } } - }, - "code": { - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer" } - } - }, - "LatLng": { - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges.", - "type": "object", - "properties": { - "latitude": { - "format": "double", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "type": "number" - }, - "longitude": { - "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number" + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } } } - }, - "UsageMetadata": { - "properties": { - "promptTokenCount": { - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", - "type": "integer", - "format": "int32" - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "toolUsePromptTokenCount": { - "format": "int32", - "readOnly": true, - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer" - }, - "thoughtsTokenCount": { - "description": "Output only. Number of tokens of thoughts for thinking models.", - "type": "integer", - "readOnly": true, - "format": "int32" - }, - "toolUsePromptTokensDetails": { - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "type": "array" - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer", - "format": "int32" - }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "/cachedContents": { + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "schema": { + "type": "integer", + "format": "int32" } }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" - }, - "totalTokenCount": { - "description": "Total token count for the generation request (prompt + response candidates).", - "type": "integer", - "format": "int32" - }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "schema": { + "type": "string" } - }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true - }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListCachedContentsResponse" + } + } } } - }, - "description": "Metadata on the generation request's token usage.", - "type": "object" + } }, - "ToolCall": { - "properties": { - "args": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object" - }, - "toolType": { - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "description": "Required. The type of tool that was called.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] - }, - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", - "type": "string" + "post": { + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } } }, - "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" - }, - "TunedModel": { + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "type": "object", "properties": { - "topP": { - "format": "float", - "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", - "type": "number" - }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "format": { "type": "string", - "readOnly": true + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." }, - "state": { - "description": "Output only. The state of the tuned model.", - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", "type": "string", - "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." - ] + "format": "int64" }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", "type": "string" }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", - "type": "string" + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", + "title": { + "description": "Optional. The title of the schema.", "type": "string" }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", + "maxProperties": { + "format": "int64", "type": "string", - "readOnly": true, - "format": "google-datetime" + "description": "Optional. Maximum number of the properties for Type.OBJECT." }, - "description": { - "description": "Optional. A short description of this model.", - "type": "string" + "nullable": { + "type": "boolean", + "description": "Optional. Indicates if the value may be null." }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "number", - "format": "float" + "properties": { + "type": "object", + "description": "Optional. Properties of Type.OBJECT.", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + } }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "maximum": { + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number" }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", + "enum": { "type": "array", + "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", "items": { - "type": "string", - "format": "int64" + "type": "string" } }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" - }, - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "integer", - "format": "int32" - } - }, - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", - "type": "object" - }, - "Blob": { - "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", - "type": "string" + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." }, - "data": { - "format": "byte", - "description": "Raw bytes for media formats.", - "type": "string" - } - }, - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", - "type": "object" - }, - "InlinedResponses": { - "properties": { - "inlinedResponses": { - "readOnly": true, + "propertyOrdering": { "items": { - "$ref": "#/components/schemas/InlinedResponse" + "type": "string" }, - "description": "Output only. The responses to the requests in the batch.", + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", "type": "array" - } - }, - "description": "The responses to the requests in the batch.", - "type": "object" - }, - "Web": { - "description": "Chunk from the web.", - "type": "object", - "properties": { - "uri": { - "description": "Output only. URI reference of the chunk.", - "type": "string", - "readOnly": true - }, - "title": { - "readOnly": true, - "description": "Output only. Title of the chunk.", - "type": "string" - } - } - }, - "SearchEntryPoint": { - "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" }, - "sdkBlob": { - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string" - } - }, - "description": "Google search entry point.", - "type": "object" - }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", - "type": "object", - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - } - }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", - "type": "object", - "properties": { - "urlMetadata": { - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "description": "List of url context.", - "type": "array" - } - } - }, - "GenerateContentBatchOutput": { - "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string" + "maxItems": { + "format": "int64", + "type": "string", + "description": "Optional. Maximum number of the elements for Type.ARRAY." }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses" - } - }, - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "type": "object" - }, - "WhiteSpaceConfig": { - "properties": { - "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" + "minProperties": { + "format": "int64", + "type": "string", + "description": "Optional. Minimum number of the properties for Type.OBJECT." }, - "maxOverlapTokens": { - "format": "int32", - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer" - } - }, - "description": "Configuration for a white space chunking algorithm [white space delimited].", - "type": "object" - }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "type": "object", - "properties": { - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "minLength": { + "format": "int64", + "type": "string", + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING" }, - "webSearchQueries": { + "required": { "items": { "type": "string" }, - "description": "Web search queries for the following-up web search.", - "type": "array" - }, - "groundingChunks": { - "items": { - "$ref": "#/components/schemas/GroundingChunk" - }, - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "type": "array" - }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - }, - "imageSearchQueries": { - "description": "Image search queries used for grounding.", "type": "array", - "items": { - "type": "string" - } + "description": "Optional. Required properties of Type.OBJECT." }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", - "type": "string" - }, - "groundingSupports": { - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - }, - "description": "List of grounding support.", - "type": "array" - } - } - }, - "ReviewSnippet": { - "properties": { - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" - }, - "title": { - "description": "Title of the review.", - "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" }, - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" - } - }, - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", - "type": "object" - }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", - "type": "object", - "properties": { - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request.", - "type": "object" + "description": { + "type": "string", + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown." }, - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - }, - "CountTokensRequest": { - "properties": { - "contents": { + "anyOf": { "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/Schema" }, - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", "type": "array" }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" - } - }, - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", - "type": "object" - }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", - "type": "object", - "properties": { - "source": { - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "type": "string", - "readOnly": true - }, - "chunk": { - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": { "type": "string", - "readOnly": true - } - } - }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", - "type": "object", - "properties": { - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" - }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "description": "Required. Data type.", + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ] }, - "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" + "maxLength": { + "format": "int64", + "type": "string", + "description": "Optional. Maximum length of the Type.STRING" } } }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "partIndex": { - "format": "int32", - "description": "The index of a Part object within its parent Content object.", - "type": "integer" - }, - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" - }, - "endIndex": { - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", - "type": "integer", - "format": "int32" + "fileName": { + "type": "string", + "description": "The name of the `File` containing the input requests." }, - "text": { - "description": "The text corresponding to the segment from the response.", - "type": "string" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } } }, - "BatchEmbedContentsRequest": { - "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "type": "array" - } - }, - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object" + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "type": "object", + "properties": {} }, - "ThinkingConfig": { + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", + "type": "object", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" - }, - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer", - "format": "int32" - }, - "thinkingLevel": { + "modality": { "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" ], + "description": "The modality associated with this token count.", "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." ], - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", "type": "string" + }, + "tokenCount": { + "type": "integer", + "description": "Number of tokens.", + "format": "int32" } - }, - "description": "Config for thinking features.", - "type": "object" + } }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "type": "object", "properties": { - "values": { - "items": { - "type": "string" - }, - "description": "The string values of the list.", - "type": "array" + "failedDocumentsCount": { + "format": "int64", + "readOnly": true, + "type": "string", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing." + }, + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" + }, + "createTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string" + }, + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "type": "string", + "readOnly": true, + "format": "int64" + }, + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "type": "string", + "readOnly": true + }, + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "type": "string" + }, + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "type": "string", + "readOnly": true, + "format": "int64" + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "type": "string", + "readOnly": true, + "format": "int64" } } }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", "properties": { - "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.", - "$ref": "#/components/schemas/ToolCall" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "functionResponse": { - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", - "$ref": "#/components/schemas/FunctionResponse" + "finishMessage": { + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "type": "string", + "readOnly": true }, - "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`.", - "$ref": "#/components/schemas/ToolResponse" + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata" }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/GroundingAttribution" + } }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "type": "string", - "format": "byte" + "safetyRatings": { + "type": "array", + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" + "avgLogprobs": { + "format": "double", + "readOnly": true, + "type": "number", + "description": "Output only. Average log probability score of the candidate." }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" + "content": { + "readOnly": true, + "$ref": "#/components/schemas/Content", + "description": "Output only. Generated content returned from the model." }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "logprobsResult": { + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult", + "description": "Output only. Log-likelihood scores for the response tokens and top tokens" }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata", + "readOnly": true }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" + "tokenCount": { + "readOnly": true, + "format": "int32", + "description": "Output only. Token count for this candidate.", + "type": "integer" }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "urlContextMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/UrlContextMetadata", + "description": "Output only. Metadata related to url context retrieval tool." }, - "text": { - "description": "Inline text.", - "type": "string" + "finishReason": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ], + "type": "string", + "readOnly": true, + "enum": [ + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" + ], + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." }, - "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" + "index": { + "description": "Output only. Index of the candidate in the list of response candidates.", + "type": "integer", + "readOnly": true, + "format": "int32" } } }, - "ToolConfig": { + "ListCorporaResponse": { + "type": "object", "properties": { - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" - }, - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" + "corpora": { + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "type": "array", + "description": "The returned corpora." }, - "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" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "type": "object" + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`." }, - "StreamableHttpTransport": { + "RetrievedContext": { + "type": "object", "properties": { - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object", - "additionalProperties": { - "type": "string" - } - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", "type": "string" }, - "timeout": { - "format": "google-duration", - "description": "HTTP timeout for regular operations.", + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", "type": "string" }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } }, - "sseReadTimeout": { - "format": "google-duration", - "description": "Timeout for SSE read operations.", + "title": { + "description": "Optional. Title of the document.", "type": "string" + }, + "text": { + "type": "string", + "description": "Optional. Text of the chunk." + }, + "pageNumber": { + "type": "integer", + "description": "Optional. Page number of the retrieved context, if applicable.", + "format": "int32" + }, + "mediaId": { + "type": "string", + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" } }, - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", - "type": "object" + "description": "Chunk from context retrieved by the file search tool." }, - "ImageConfig": { - "description": "Config for image generation features.", + "ReviewSnippet": { "type": "object", "properties": { - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" }, - "aspectRatio": { - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", + "title": { + "description": "Title of the review.", "type": "string" + }, + "googleMapsUri": { + "type": "string", + "description": "A link that corresponds to the user review on Google Maps." } - } + }, + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps." }, - "BatchStats": { - "description": "Stats about the batch.", + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", "properties": { - "pendingRequestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", - "type": "string" - }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "type": "string", - "format": "int64", - "readOnly": true + "generatedFiles": { + "type": "array", + "description": "The list of `GeneratedFile`s.", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + } }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "type": "string", - "readOnly": true, - "format": "int64" + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "type": "string" } } }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "CreateFileResponse": { "type": "object", "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "type": "string", - "readOnly": true - }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedEmbedContentResponses" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } - } + }, + "description": "Response for `CreateFile`." }, - "File": { + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", + "type": "object", "properties": { - "videoMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/VideoFileMetadata", - "description": "Output only. Metadata for a video." - }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. Error status if File processing failed." - }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", + "token": { "type": "string", - "readOnly": true + "description": "The candidate\u2019s token string value." }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "type": "string", - "readOnly": true + "logProbability": { + "format": "float", + "type": "number", + "description": "The candidate's log probability." }, - "state": { + "tokenId": { + "type": "integer", + "description": "The candidate\u2019s token id value.", + "format": "int32" + } + } + }, + "VideoFileMetadata": { + "type": "object", + "properties": { + "videoDuration": { + "description": "Duration of the video.", "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, - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], - "description": "Output only. Processing state of the File." + "format": "google-duration" + } + }, + "description": "Metadata for a video `File`." + }, + "GenerateContentRequest": { + "type": "object", + "properties": { + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", - "type": "string" + "systemInstruction": { + "$ref": "#/components/schemas/Content", + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "model": { "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", - "type": "string" + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." }, - "sizeBytes": { - "description": "Output only. Size of the file in bytes.", - "type": "string", - "format": "int64", - "readOnly": true + "safetySettings": { + "type": "array", + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", + "items": { + "$ref": "#/components/schemas/SafetySetting" + } }, - "updateTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The timestamp of when the `File` was last updated.", - "type": "string" + "toolConfig": { + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example." }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string", - "readOnly": true, - "format": "byte" + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" }, - "source": { + "serviceTier": { + "description": "Optional. The service tier of the request.", "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." ], - "description": "Source of the File.", "type": "string", "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" + "unspecified", + "standard", + "flex", + "priority" ] }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "type": "string" + "tools": { + "items": { + "$ref": "#/components/schemas/Tool" + }, + "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." }, - "uri": { - "readOnly": true, - "description": "Output only. The uri of the `File`.", + "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" + }, + "store": { + "type": "boolean", + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config." } }, - "description": "A file uploaded to the API. Next ID: 15", - "type": "object" + "description": "Request to generate a completion from the model." }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", + "Empty": { + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "type": "object", + "properties": {} + }, + "LogprobsResult": { + "description": "Logprobs Result", "type": "object", "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" + "logProbabilitySum": { + "format": "float", + "description": "Sum of log probabilities for all tokens.", + "type": "number" + }, + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + }, + "topCandidates": { + "description": "Length = total number of decoding steps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TopCandidates" + } } } }, - "Dataset": { + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", + "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "files": { + "type": "array", + "description": "The registered files to be used when calling GenerateContent.", + "items": { + "$ref": "#/components/schemas/File" + } } - }, - "description": "Dataset for training or validation.", - "type": "object" + } }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "InlinedEmbedContentResponse": { "type": "object", "properties": { - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" - }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" - }, - "outputDimensionality": { - "format": "int32", - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "type": "integer" - }, - "taskType": { - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ], - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "description": "Optional. The task type of the embedding.", - "type": "string" + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse", + "readOnly": true }, - "title": { - "description": "Optional. The title for the text.", - "type": "string" + "error": { + "readOnly": true, + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request." }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "metadata": { + "type": "object", + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "additionalProperties": { + "description": "Properties of the object." + } } - } + }, + "description": "The response to a single request in the batch." }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "RetrievalMetadata": { "type": "object", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "googleSearchDynamicRetrievalScore": { + "format": "float", + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "type": "number" + } + }, + "description": "Metadata related to retrieval in the grounding flow." + }, + "CodeExecution": { + "type": "object", + "properties": {}, + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool." + }, + "SpeechConfig": { + "type": "object", + "properties": { + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "The configuration in case of single-voice output." }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" + "languageCode": { + "type": "string", + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "description": "Custom metadata to be associated with the data.", - "type": "array" + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" } - } + }, + "description": "Config for speech generation and transcription." }, - "TransferOwnershipResponse": { - "properties": {}, - "description": "Response from `TransferOwnership`.", - "type": "object" + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", + "type": "object", + "properties": { + "batch": { + "$ref": "#/components/schemas/EmbedContentBatch", + "description": "Required. The batch to create." + } + } }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "type": "object", "properties": { - "citationSources": { + "uris": { "items": { - "$ref": "#/components/schemas/CitationSource" + "type": "string" }, - "description": "Citations to sources for a specific response.", + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array" } } }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "type": "object", "properties": { - "passageId": { - "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", "type": "string" }, - "partIndex": { - "readOnly": true, - "format": "int32", - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "type": "integer" + "toolType": { + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "type": "string", + "description": "Required. The type of tool that was called.", + "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." + ] + }, + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object" } } }, - "CustomMetadata": { + "EmbedContentRequest": { + "type": "object", "properties": { - "numericValue": { - "format": "float", - "description": "The numeric value of the metadata to store.", - "type": "number" + "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." + ], + "type": "string", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "deprecated": true }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" }, - "key": { - "description": "Required. The key of the metadata to store.", + "title": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "deprecated": true, "type": "string" + }, + "model": { + "type": "string", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`" + }, + "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" } }, - "description": "User provided metadata stored as key-value pairs.", - "type": "object" + "description": "Request containing the `Content` for the model to embed." }, - "ListCachedContentsResponse": { + "FileData": { + "type": "object", "properties": { - "cachedContents": { - "items": { - "$ref": "#/components/schemas/CachedContent" - }, - "description": "List of cached contents.", - "type": "array" + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "fileUri": { + "description": "Required. URI.", "type": "string" } }, - "description": "Response with CachedContents list.", - "type": "object" + "description": "URI based data." }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", + "BatchGenerateContentRequest": { "type": "object", "properties": { - "speakerVoiceConfigs": { - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - }, - "description": "Required. All the enabled speaker voices.", - "type": "array" - } - } - }, - "RegisterFilesResponse": { - "properties": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - } + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." } }, - "description": "Response for `RegisterFiles`.", - "type": "object" + "description": "Request for a `BatchGenerateContent` operation." }, "FunctionResponse": { "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", "properties": { - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "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" }, + "response": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "type": "object" + }, + "id": { + "type": "string", + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`." + }, + "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`." + }, "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "type": "array", + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { "$ref": "#/components/schemas/FunctionResponsePart" } }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" - }, "scheduling": { "enum": [ "SCHEDULING_UNSPECIFIED", @@ -3885,66 +3484,187 @@ "WHEN_IDLE", "INTERRUPT" ], - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "type": "string", + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "x-enum-descriptions": [ "This value is unused.", "Only add the result to the conversation context, do not interrupt or trigger generation.", "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." ] + } + } + }, + "GenerationConfig": { + "type": "object", + "properties": { + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" }, - "response": { - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "candidateCount": { + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer" }, - "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.", + "topK": { + "format": "int32", + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer" + }, + "frequencyPenalty": { + "format": "float", + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number" + }, + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" + }, + "temperature": { + "format": "float", + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "type": "number" + }, + "seed": { + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer" + }, + "responseModalities": { + "items": { + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] + }, + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "type": "array" + }, + "maxOutputTokens": { + "format": "int32", + "type": "integer", + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function." + }, + "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" + }, + "mediaResolution": { + "type": "string", + "description": "Optional. If specified, the media resolution specified will be used.", + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." + ], + "enum": [ + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ] + }, + "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" + }, + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "stopSequences": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response." + }, + "responseLogprobs": { + "type": "boolean", + "description": "Optional. If true, export the logprobs results in response." + }, + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" + }, + "logprobs": { + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "type": "integer", + "format": "int32" } - } + }, + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model." }, - "GenerateContentBatch": { + "EmbedContentBatch": { + "type": "object", "properties": { + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" + }, "displayName": { "description": "Required. The user-defined name of this batch.", "type": "string" }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "readOnly": true, - "$ref": "#/components/schemas/BatchStats" - }, - "updateTime": { - "readOnly": true, + "createTime": { + "type": "string", + "description": "Output only. The time at which the batch was created.", "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated.", - "type": "string" + "readOnly": true }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "type": "string", - "format": "int64" + "readOnly": true }, "endTime": { "format": "google-datetime", "readOnly": true, - "description": "Output only. The time at which the batch processing completed.", - "type": "string" + "type": "string", + "description": "Output only. The time at which the batch processing completed." }, "output": { + "$ref": "#/components/schemas/EmbedContentBatchOutput", "readOnly": true, - "$ref": "#/components/schemas/GenerateContentBatchOutput", "description": "Output only. The output of the batch request." }, + "batchStats": { + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchStats", + "description": "Output only. Stats about the batch." + }, "state": { + "type": "string", "x-enum-descriptions": [ "The batch state is unspecified.", "The service is preparing to run the batch.", @@ -3954,7 +3674,6 @@ "The batch has been cancelled.", "The batch has expired." ], - "type": "string", "description": "Output only. The state of the batch.", "readOnly": true, "enum": [ @@ -3963,241 +3682,418 @@ "BATCH_STATE_RUNNING", "BATCH_STATE_SUCCEEDED", "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ] - }, - "name": { - "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string" + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] }, - "createTime": { - "description": "Output only. The time at which the batch was created.", + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", "type": "string", "readOnly": true, "format": "google-datetime" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" + "priority": { + "format": "int64", + "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "type": "string" } }, - "description": "A resource representing a batch of `GenerateContent` requests.", - "type": "object" + "description": "A resource representing a batch of `EmbedContent` requests." }, - "ListOperationsResponse": { + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "type": "object", "properties": { - "operations": { - "description": "A list of operations that matches the specified filter in the request.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - } - }, - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" + "webSearch": { + "$ref": "#/components/schemas/WebSearch", + "description": "Optional. Enables web search. Only text results are returned." }, - "unreachable": { - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "type": "array", + "imageSearch": { + "$ref": "#/components/schemas/ImageSearch", + "description": "Optional. Enables image search. Image bytes are returned." + } + } + }, + "GroundingChunkStringList": { + "type": "object", + "properties": { + "values": { "items": { "type": "string" - } + }, + "type": "array", + "description": "The string values of the list." } }, - "description": "The response message for Operations.ListOperations.", - "type": "object" + "description": "A list of string values." }, - "ImportFileRequest": { + "TunedModelSource": { + "type": "object", "properties": { - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "tunedModel": { + "type": "string", + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`" + }, + "baseModel": { + "readOnly": true, + "type": "string", + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + } + }, + "description": "Tuned model as a source for training a new model." + }, + "Image": { + "type": "object", + "properties": { + "sourceUri": { + "type": "string", + "description": "The web page URI for attribution." + }, + "title": { + "type": "string", + "description": "The title of the web page that the image is from." + }, + "imageUri": { + "description": "The image asset URL.", "type": "string" }, - "customMetadata": { + "domain": { + "type": "string", + "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + } + }, + "description": "Chunk from image search." + }, + "InlinedRequests": { + "type": "object", + "properties": { + "requests": { "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/InlinedRequest" }, - "description": "Custom metadata to be associated with the file.", - "type": "array" - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "type": "array", + "description": "Required. The requests to be processed in the batch." } }, - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", - "type": "object" + "description": "The requests to be processed in the batch if provided as part of the batch creation request." }, - "RetrievedContext": { + "ListFilesResponse": { + "description": "Response for `ListFiles`.", + "type": "object", "properties": { - "pageNumber": { - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable.", - "type": "integer" + "files": { + "type": "array", + "description": "The list of `File`s.", + "items": { + "$ref": "#/components/schemas/File" + } }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" + } + } + }, + "Document": { + "type": "object", + "properties": { + "state": { + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], + "description": "Output only. Current state of the `Document`.", + "readOnly": true, + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ] }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" + "name": { + "type": "string", + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`" }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "type": "string", + "description": "Output only. The Timestamp of when the `Document` was last updated." + }, + "mimeType": { + "description": "Output only. The mime type of the Document.", + "type": "string", + "readOnly": true + }, + "sizeBytes": { + "readOnly": true, + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document.", "type": "string" }, "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", + "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": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + "$ref": "#/components/schemas/CustomMetadata" } }, - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"" }, - "title": { - "description": "Optional. Title of the document.", - "type": "string" + "createTime": { + "format": "google-datetime", + "readOnly": true, + "type": "string", + "description": "Output only. The Timestamp of when the `Document` was created." } }, - "description": "Chunk from context retrieved by the file search tool.", - "type": "object" + "description": "A `Document` is a collection of `Chunk`s." }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", + "CustomLongRunningOperation": { "type": "object", "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" + "metadata": { + "type": "object", + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "done": { + "type": "boolean", + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + }, + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "name": { + "type": "string", + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." } } }, - "EmbedContentRequest": { + "CodeExecutionResult": { + "type": "object", "properties": { - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "taskType": { - "type": "string", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], + "outcome": { "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" ], - "deprecated": true, - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`)." + "description": "Required. Outcome of the code execution.", + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "type": "string" }, - "outputDimensionality": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "type": "integer", - "deprecated": true, - "format": "int32" + "output": { + "type": "string", + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise." + }, + "id": { + "type": "string", + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." + } + }, + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used." + }, + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "type": "object", + "properties": { + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" + }, + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "type": "string" + } + } + }, + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", + "properties": { + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string" }, - "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}`", + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" + } + } + }, + "Status": { + "type": "object", + "properties": { + "code": { + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer" }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" + "details": { + "items": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object" + }, + "type": "array", + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use." }, - "title": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "message": { "type": "string", - "deprecated": true + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client." } }, - "description": "Request containing the `Content` for the model to embed.", - "type": "object" + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors)." }, - "CountTokensResponse": { + "Model": { + "type": "object", "properties": { - "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "totalTokens": { - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer" + "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" }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", + "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." + }, + "inputTokenLimit": { "type": "integer", + "description": "Maximum number of input tokens allowed for this model.", "format": "int32" }, - "promptTokensDetails": { - "readOnly": true, + "topP": { + "type": "number", + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "format": "float" + }, + "description": { + "type": "string", + "description": "A short description of the model." + }, + "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" + }, + "topK": { + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", + "type": "integer", + "format": "int32" + }, + "outputTokenLimit": { + "format": "int32", + "description": "Maximum number of output tokens available for this model.", + "type": "integer" + }, + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" + }, + "supportedGenerationMethods": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" }, - "description": "Output only. List of modalities that were processed in the request input.", + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", "type": "array" + }, + "maxTemperature": { + "type": "number", + "description": "The maximum temperature this model can use.", + "format": "float" + }, + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" } }, - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", - "type": "object" + "description": "Information about a Generative Language Model." }, - "FileSearch": { + "FunctionCallingConfig": { + "type": "object", "properties": { - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "type": "array", + "allowedFunctionNames": { "items": { "type": "string" - } - }, - "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" + }, + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "type": "array" }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" + "mode": { + "type": "string", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ], + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ] } }, - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", - "type": "object" + "description": "Configuration for specifying function calling behavior." }, - "UrlContext": { - "properties": {}, - "description": "Tool to support URL context retrieval.", - "type": "object" + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "type": "object", + "properties": { + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "type": "string", + "readOnly": true + }, + "chunk": { + "readOnly": true, + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": "string" + } + } }, "BatchEmbedContentsResponse": { "description": "The response to a `BatchEmbedContentsRequest`.", "type": "object", "properties": { + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true + }, "embeddings": { "readOnly": true, "items": { @@ -4205,1335 +4101,1503 @@ }, "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "type": "array" + } + } + }, + "EmbedContentBatchStats": { + "description": "Stats about the batch.", + "type": "object", + "properties": { + "pendingRequestCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", + "type": "string" }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", + "failedRequestCount": { + "format": "int64", + "readOnly": true, + "type": "string", + "description": "Output only. The number of requests that failed to be processed." + }, + "requestCount": { + "format": "int64", + "readOnly": true, + "type": "string", + "description": "Output only. The number of requests in the batch." + }, + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "format": "int64" } } }, - "ExecutableCode": { + "VideoMetadata": { + "type": "object", + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "deprecated": true, "properties": { - "language": { + "startOffset": { + "description": "Optional. The start offset of the video.", + "type": "string", + "format": "google-duration" + }, + "fps": { + "type": "number", + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "format": "double" + }, + "endOffset": { + "type": "string", + "description": "Optional. The end offset of the video.", + "format": "google-duration" + } + } + }, + "ComputerUse": { + "type": "object", + "properties": { + "environment": { + "description": "Required. The environment being operated.", "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." + "Defaults to browser.", + "Operates in a web browser." ], - "description": "Required. Programming language of the `code`.", "type": "string", "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" ] }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" + "excludedPredefinedFunctions": { + "items": { + "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." + }, + "RetrievalConfig": { + "description": "Retrieval config.", + "type": "object", + "properties": { + "latLng": { + "$ref": "#/components/schemas/LatLng", + "description": "Optional. The location of the user." + }, + "languageCode": { + "type": "string", + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." + } + } + }, + "LatLng": { + "type": "object", + "properties": { + "latitude": { + "type": "number", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "format": "double" }, - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" + "longitude": { + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number", + "format": "double" } }, - "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": "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." }, - "GenerateContentResponse": { + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", + "type": "object", "properties": { - "usageMetadata": { + "cacheTokensDetails": { "readOnly": true, - "$ref": "#/components/schemas/UsageMetadata", - "description": "Output only. Metadata on the generation requests' token usage." - }, - "candidates": { "items": { - "$ref": "#/components/schemas/Candidate" + "$ref": "#/components/schemas/ModalityTokenCount" }, - "description": "Candidate responses from the model.", - "type": "array" + "type": "array", + "description": "Output only. List of modalities of the cached content in the request input." }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "type": "string", - "readOnly": true + "candidatesTokenCount": { + "format": "int32", + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer" }, - "responseId": { + "promptTokensDetails": { + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", "readOnly": true, - "description": "Output only. response_id is used to identify each response.", - "type": "string" + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } }, - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "totalTokenCount": { + "description": "Total token count for the generation request (prompt + response candidates).", + "type": "integer", + "format": "int32" }, - "modelStatus": { - "description": "Output only. The current model status of this model.", + "promptTokenCount": { + "format": "int32", + "type": "integer", + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content." + }, + "toolUsePromptTokenCount": { + "format": "int32", "readOnly": true, - "$ref": "#/components/schemas/ModelStatus" - } - }, - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", - "type": "object" - }, - "RetrievalConfig": { - "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "type": "integer", + "description": "Output only. Number of tokens present in tool-use prompt(s)." }, - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", - "type": "string" + "candidatesTokensDetails": { + "type": "array", + "description": "Output only. List of modalities that were returned in the response.", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + }, + "toolUsePromptTokensDetails": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array", + "description": "Output only. List of modalities that were processed for tool-use request inputs." + }, + "thoughtsTokenCount": { + "type": "integer", + "description": "Output only. Number of tokens of thoughts for thinking models.", + "format": "int32", + "readOnly": true + }, + "cachedContentTokenCount": { + "type": "integer", + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "format": "int32" + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } } - }, - "description": "Retrieval config.", - "type": "object" + } }, - "PromptFeedback": { + "DynamicRetrievalConfig": { + "type": "object", "properties": { - "blockReason": { - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "type": "string", + "mode": { + "description": "The mode of the predictor to be used in dynamic retrieval.", "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." + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." ], + "type": "string", "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ] }, - "safetyRatings": { - "items": { - "$ref": "#/components/schemas/SafetyRating" - }, - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array" + "dynamicThreshold": { + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number", + "format": "float" } }, - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", - "type": "object" + "description": "Describes the options to customize dynamic retrieval." }, - "GroundingAttribution": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "type": "object", "properties": { - "sourceId": { - "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId", - "description": "Output only. Identifier for the source contributing to this attribution." - }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "type": "array", + "items": { + "$ref": "#/components/schemas/EmbedContentRequest" + } + } + } + }, + "CreateFileRequest": { + "type": "object", + "properties": { + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } }, - "description": "Attribution for a source that contributed to an answer.", - "type": "object" + "description": "Request for `CreateFile`." }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "StringList": { + "description": "User provided string values assigned to a single metadata key.", "type": "object", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", - "type": "string" - }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "values": { + "description": "The string values of the metadata to store.", + "type": "array", + "items": { + "type": "string" + } } } }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "type": "object", "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "groundingPassage": { + "$ref": "#/components/schemas/GroundingPassageId", + "description": "Identifier for an inline passage." }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "semanticRetrieverChunk": { + "$ref": "#/components/schemas/SemanticRetrieverChunk", + "description": "Identifier for a `Chunk` fetched via Semantic Retriever." } } }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", + "GroundingMetadata": { "type": "object", "properties": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", - "type": "string" + "groundingSupports": { + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "type": "array", + "description": "List of grounding support." }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "imageSearchQueries": { + "items": { + "type": "string" + }, + "description": "Image search queries used for grounding.", + "type": "array" }, - "mimeType": { - "description": "MIME type of the generatedFile.", + "retrievalMetadata": { + "$ref": "#/components/schemas/RetrievalMetadata", + "description": "Metadata related to retrieval in the grounding flow." + }, + "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" }, - "state": { - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "description": "Output only. The state of the GeneratedFile." - } - } - }, - "ComputerUse": { - "properties": { - "environment": { - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ], - "description": "Required. The environment being operated.", - "type": "string", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ] + "searchEntryPoint": { + "$ref": "#/components/schemas/SearchEntryPoint", + "description": "Optional. Google search entry for the following-up web searches." + }, + "webSearchQueries": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Web search queries for the following-up web search." }, - "excludedPredefinedFunctions": { - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "groundingChunks": { + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/GroundingChunk" } } }, - "description": "Computer Use tool type.", - "type": "object" + "description": "Metadata returned to client when grounding is enabled." }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "type": "object", "properties": { - "learningRate": { - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number", - "format": "float" - }, - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer", - "format": "int32" - }, - "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" + "models": { + "type": "array", + "description": "The returned Models.", + "items": { + "$ref": "#/components/schemas/Model" + } }, - "epochCount": { - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", - "type": "integer" + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } } }, - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "type": "object", "properties": { - "tunedModels": { - "description": "The returned Models.", + "examples": { "type": "array", + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/TuningExample" } - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" } } }, - "TuningSnapshot": { + "CustomMetadata": { + "type": "object", "properties": { - "epoch": { - "readOnly": true, - "format": "int32", - "description": "Output only. The epoch this step was part of.", - "type": "integer" + "stringValue": { + "type": "string", + "description": "The string value of the metadata to store." }, - "meanLoss": { + "key": { + "description": "Required. The key of the metadata to store.", + "type": "string" + }, + "numericValue": { "format": "float", - "readOnly": true, - "description": "Output only. The mean loss of the training examples for this step.", + "description": "The numeric value of the metadata to store.", "type": "number" }, - "computeTime": { - "description": "Output only. The timestamp when this metric was computed.", + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" + } + }, + "description": "User provided metadata stored as key-value pairs." + }, + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object", + "properties": { + "passageId": { "type": "string", - "readOnly": true, - "format": "google-datetime" + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "readOnly": true }, - "step": { + "partIndex": { + "type": "integer", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "format": "int32", - "readOnly": true, - "description": "Output only. The tuning step.", - "type": "integer" + "readOnly": true } - }, - "description": "Record for a single tuning step.", - "type": "object" + } }, - "VideoFileMetadata": { + "ContentEmbedding": { + "type": "object", "properties": { - "videoDuration": { - "description": "Duration of the video.", - "type": "string", - "format": "google-duration" + "values": { + "items": { + "type": "number", + "format": "float" + }, + "type": "array", + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." + }, + "shape": { + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array", + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048])." } }, - "description": "Metadata for a video `File`.", - "type": "object" + "description": "A list of floats representing an embedding." }, - "VideoMetadata": { + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, "properties": { - "startOffset": { - "format": "google-duration", - "description": "Optional. The start offset of the video.", - "type": "string" + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" }, - "fps": { - "format": "double", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number" + "fileSearch": { + "$ref": "#/components/schemas/FileSearch", + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." }, - "endOffset": { - "format": "google-duration", - "description": "Optional. The end offset of the video.", - "type": "string" + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "description": "Optional. MCP Servers to connect to.", + "type": "array" + }, + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" + }, + "functionDeclarations": { + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + } + }, + "codeExecution": { + "$ref": "#/components/schemas/CodeExecution", + "description": "Optional. Enables the model to execute code as part of generation." + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "urlContext": { + "$ref": "#/components/schemas/UrlContext", + "description": "Optional. Tool to support URL context retrieval." } } }, - "EmbedContentResponse": { + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "type": "object", "properties": { - "usageMetadata": { + "cachedContentTokenCount": { + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "type": "integer" + }, + "totalTokens": { + "format": "int32", + "type": "integer", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." + }, + "promptTokensDetails": { "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "description": "Output only. The usage metadata for the request." + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array", + "description": "Output only. List of modalities that were processed in the request input." }, - "embedding": { - "description": "Output only. The embedding generated from the input content.", + "cacheTokensDetails": { "readOnly": true, - "$ref": "#/components/schemas/ContentEmbedding" + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "type": "array", + "description": "Output only. List of modalities that were processed in the cached content." } - }, - "description": "The response to an `EmbedContentRequest`.", - "type": "object" + } }, - "ModalityTokenCount": { + "GroundingChunk": { + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "type": "object", "properties": { - "modality": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "description": "The modality associated with this token count.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ] + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "tokenCount": { - "format": "int32", - "description": "Number of tokens.", - "type": "integer" + "image": { + "$ref": "#/components/schemas/Image", + "description": "Optional. Grounding chunk from image search." + }, + "retrievedContext": { + "$ref": "#/components/schemas/RetrievedContext", + "description": "Optional. Grounding chunk from context retrieved by the file search tool." + }, + "maps": { + "$ref": "#/components/schemas/Maps", + "description": "Optional. Grounding chunk from Google Maps." } - }, - "description": "Represents token counting info for a single modality.", - "type": "object" + } }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", + "CachedContent": { + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", "type": "object", "properties": { - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + } }, - "priority": { - "format": "int64", - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, - "updateTime": { + "createTime": { "format": "google-datetime", "readOnly": true, - "description": "Output only. The time at which the batch was last updated.", - "type": "string" + "type": "string", + "description": "Output only. Creation time of the cache entry." }, - "displayName": { - "description": "Required. The user-defined name of this batch.", + "expireTime": { + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", "type": "string" }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats" - }, - "output": { - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "description": "Output only. The output of the batch request." + "toolConfig": { + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." }, "name": { "readOnly": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "type": "string" }, - "createTime": { - "description": "Output only. The time at which the batch was created.", - "type": "string", - "format": "google-datetime", - "readOnly": true + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" }, - "state": { - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "type": "string", - "description": "Output only. The state of the batch.", + "usageMetadata": { "readOnly": true, - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ] + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "description": "Output only. Metadata on the usage of the cached content." }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - } - } - }, - "InlinedEmbedContentRequests": { - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", "type": "array", "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + "$ref": "#/components/schemas/Content" } + }, + "ttl": { + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only.", + "type": "string" + }, + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", + "type": "string", + "readOnly": true, + "format": "google-datetime" } - }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object" + } }, - "ListCorporaResponse": { + "ImportFileRequest": { + "type": "object", "properties": { - "corpora": { - "description": "The returned corpora.", - "type": "array", + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." + }, + "customMetadata": { "items": { - "$ref": "#/components/schemas/Corpus" - } + "$ref": "#/components/schemas/CustomMetadata" + }, + "type": "array", + "description": "Custom metadata to be associated with the file." }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "fileName": { + "type": "string", + "description": "Required. The name of the `File` to import. Example: `files/abc-123`" } }, - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", - "type": "object" + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`." }, - "GoogleSearchRetrieval": { + "ChunkingConfig": { + "type": "object", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } }, - "description": "Tool to retrieve public web data for grounding, powered by Google.", - "type": "object" + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto" }, - "Schema": { + "FunctionDeclaration": { + "type": "object", "properties": { - "minLength": { - "format": "int64", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string" + "parameters": { + "$ref": "#/components/schemas/Schema", + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter." }, - "properties": { - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - }, - "description": "Optional. Properties of Type.OBJECT.", - "type": "object" + "description": { + "type": "string", + "description": "Required. A brief description of the function." }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "parametersJsonSchema": { + "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." }, - "minItems": { - "format": "int64", - "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "name": { + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", "type": "string" }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" - }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" }, - "maxProperties": { - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "type": "string" + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, - "type": { - "description": "Required. Data type.", - "type": "string", + "behavior": { + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." + "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." ], + "type": "string", "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ] - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "enum": { - "items": { - "type": "string" - }, - "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" - }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "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" - }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "minProperties": { - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", - "type": "string" - }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Schema" - } - }, - "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" - } - }, - "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." - }, - "required": { + } + }, + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client." + }, + "VoiceConfig": { + "description": "The configuration for the voice to use.", + "type": "object", + "properties": { + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." + } + } + }, + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", + "type": "object", + "properties": { + "voiceName": { + "type": "string", + "description": "The name of the preset voice to use." + } + } + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "type": "object", + "properties": { + "speakerVoiceConfigs": { "items": { - "type": "string" + "$ref": "#/components/schemas/SpeakerVoiceConfig" }, - "description": "Optional. Required properties of Type.OBJECT.", + "description": "Required. All the enabled speaker voices.", "type": "array" - }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", + } + } + }, + "ImageConfig": { + "type": "object", + "properties": { + "imageSize": { "type": "string", - "format": "int64" + "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`." }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" + "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" } }, - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", - "type": "object" + "description": "Config for image generation features." }, - "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", + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", "type": "object", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + }, + "sourceId": { + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true, + "description": "Output only. Identifier for the source contributing to this attribution." } } }, - "CodeExecution": { - "properties": {}, - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "type": "object" - }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "type": "object", "properties": { - "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" + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" + }, + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "type": "array", + "items": { + "type": "string" + } + }, + "topK": { + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer" } } }, - "CodeExecutionResult": { + "ExecutableCode": { + "type": "object", "properties": { "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", - "type": "string" - }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", - "type": "string" + "type": "string", + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." }, - "outcome": { - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], + "language": { + "description": "Required. Programming language of the `code`.", "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." + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." ], - "description": "Required. Outcome of the code execution.", + "type": "string", + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ] + }, + "code": { + "description": "Required. The code to be executed.", "type": "string" } }, - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", - "type": "object" + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated." }, - "InputConfig": { - "description": "Configures the input to the batch request.", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", + "name": { + "readOnly": true, + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", "type": "string" }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "type": "string" + }, + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" + }, + "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "type": "string", + "readOnly": true, + "format": "google-datetime" } } }, - "InputEmbedContentConfig": { + "Permission": { + "type": "object", "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" - }, - "fileName": { - "description": "The name of the `File` containing the input requests.", + "emailAddress": { + "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", "type": "string" - } - }, - "description": "Configures the input to the batch request.", - "type": "object" - }, - "Tool": { - "properties": { - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", - "type": "array", - "items": { - "$ref": "#/components/schemas/McpServer" - } - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - }, - "functionDeclarations": { - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "type": "array" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" - }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "granteeType": { + "description": "Optional. Immutable. The type of the grantee.", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." + ], + "type": "string", + "enum": [ + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ] }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "role": { + "type": "string", + "description": "Required. The role granted by this permission.", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ] }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" + "name": { + "readOnly": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "type": "string" } }, - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "type": "object" + "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" }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "ModelStatus": { "type": "object", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" - } - } - }, - "InlinedEmbedContentResponse": { - "properties": { - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" - }, - "metadata": { - "readOnly": true, - "description": "Output only. The metadata associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "retirementTime": { + "type": "string", + "description": "The time at which the model will be retired.", + "format": "google-datetime" }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." + "modelStage": { + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "x-enum-descriptions": [ + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." + ], + "type": "string", + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], + "description": "The stage of the underlying model." + }, + "message": { + "description": "A message explaining the model status.", + "type": "string" } }, - "description": "The response to a single request in the batch.", - "type": "object" + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", "properties": { - "generatedFiles": { + "requests": { "items": { - "$ref": "#/components/schemas/GeneratedFile" + "$ref": "#/components/schemas/InlinedEmbedContentRequest" }, - "description": "The list of `GeneratedFile`s.", - "type": "array" - }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", - "type": "string" + "type": "array", + "description": "Required. The requests to be processed in the batch." } } }, - "ListModelsResponse": { + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "learningRateMultiplier": { + "format": "float", + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", + "type": "number" }, - "models": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - } + "batchSize": { + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer", + "format": "int32" + }, + "learningRate": { + "format": "float", + "type": "number", + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples." + }, + "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" } - }, - "description": "Response from `ListModel` containing a paginated list of Models.", - "type": "object" + } }, - "FunctionCall": { + "Interval": { + "type": "object", "properties": { - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", - "type": "string" - }, - "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" + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "type": "string", + "format": "google-datetime" }, - "args": { - "description": "Optional. The function parameters and values in JSON object format.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "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." } }, - "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": "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." }, - "UrlMetadata": { + "SpeakerVoiceConfig": { + "type": "object", "properties": { - "urlRetrievalStatus": { - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ], - "description": "Status of the url retrieval.", + "speaker": { "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ] + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." }, - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." } }, - "description": "Context of the a single url retrieval.", - "type": "object" + "description": "The configuration for a single speaker in a multi speaker setup." }, - "InlinedRequests": { + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "type": "object", + "properties": { + "timeRangeFilter": { + "$ref": "#/components/schemas/Interval", + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." + }, + "searchTypes": { + "$ref": "#/components/schemas/SearchTypes", + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." + } + } + }, + "InputConfig": { + "description": "Configures the input to the batch request.", + "type": "object", "properties": { + "fileName": { + "type": "string", + "description": "The name of the `File` containing the input requests." + }, "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } + "$ref": "#/components/schemas/InlinedRequests", + "description": "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.", - "type": "object" + } }, - "ModelStatus": { - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", + "SafetyRating": { "type": "object", "properties": { - "modelStage": { + "category": { + "description": "Required. The category for this rating.", "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "type": "string", + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." ], "enumDeprecated": [ false, - true, false, false, false, false, - true, - false + false, + false, + false, + false, + false, + false, + true + ] + }, + "probability": { + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" ], - "description": "The stage of the underlying model.", + "type": "string", + "description": "Required. The probability of harm for this content.", "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." - ], - "type": "string" + "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." + ] }, - "message": { - "description": "A message explaining the model status.", - "type": "string" + "blocked": { + "type": "boolean", + "description": "Was this content blocked because of this rating?" + } + }, + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here." + }, + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "type": "object", + "properties": { + "title": { + "type": "string", + "description": "Optional. The title for the text." }, - "retirementTime": { - "description": "The time at which the model will be retired.", + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" + }, + "taskType": { "type": "string", - "format": "google-datetime" + "description": "Optional. The task type of the embedding.", + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] + }, + "outputDimensionality": { + "format": "int32", + "type": "integer", + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end." + }, + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" } } }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "type": "object", "properties": { - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "type": "array", - "items": { - "format": "float", - "type": "number" - } - }, - "groundingChunkIndices": { - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "type": "array", - "items": { - "type": "integer", - "format": "int32" - } - }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "totalTokenCount": { + "format": "int32", + "type": "integer", + "description": "Total number of tokens that the cached content consumes." + } + } + }, + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "type": "object", + "properties": { + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." }, - "renderedParts": { + "responsesFile": { "readOnly": true, - "items": { - "format": "int32", - "type": "integer" - }, - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "type": "array" + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "type": "string" } } }, - "TopCandidates": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "type": "object", "properties": { - "candidates": { + "tunedModelSource": { + "$ref": "#/components/schemas/TunedModelSource", + "description": "Optional. TunedModel to use as the starting point for training the new model." + }, + "readerProjectNumbers": { "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "type": "string", + "format": "int64" }, - "description": "Sorted by log probability in descending order.", - "type": "array" - } - }, - "description": "Candidates with top log probabilities at each decoding step.", - "type": "object" - }, - "FunctionDeclaration": { - "properties": { - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." + "type": "array", + "description": "Optional. List of project numbers that have read access to the tuned model." }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." + "baseModel": { + "type": "string", + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`" }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" + "createTime": { + "format": "google-datetime", + "readOnly": true, + "type": "string", + "description": "Output only. The timestamp when this model was created." }, - "description": { - "description": "Required. A brief description of the function.", - "type": "string" + "topK": { + "format": "int32", + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "integer" }, - "name": { - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", - "type": "string" + "tuningTask": { + "$ref": "#/components/schemas/TuningTask", + "description": "Required. The tuning task that creates the tuned model." }, - "behavior": { - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], + "state": { "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." ], - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "type": "string", + "readOnly": true, + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "description": "Output only. The state of the tuned model." + }, + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated.", "type": "string" }, - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" - } - }, - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", - "type": "object" - }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "type": "object", - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - }, - "Content": { - "properties": { - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Part" - } + "temperature": { + "type": "number", + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "format": "float" }, - "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" + "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." + }, + "name": { + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "type": "string", + "readOnly": true + }, + "topP": { + "format": "float", + "type": "number", + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model." + }, + "description": { + "type": "string", + "description": "Optional. A short description of this model." } - }, - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", - "type": "object" + } }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", + "Dataset": { + "description": "Dataset for training or validation.", "type": "object", "properties": { - "files": { - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The list of `File`s.", - "type": "array" - }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" + "examples": { + "$ref": "#/components/schemas/TuningExamples", + "description": "Optional. Inline examples with simple input/output text." } } }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "GoogleSearchRetrieval": { "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.", - "type": "string" - }, - "permissions": { - "items": { - "$ref": "#/components/schemas/Permission" - }, - "description": "Returned permissions.", - "type": "array" + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } - } + }, + "description": "Tool to retrieve public web data for grounding, powered by Google." }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", + "SafetySetting": { + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "type": "object", "properties": { - "googleSearchDynamicRetrievalScore": { - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", - "type": "number", - "format": "float" + "threshold": { + "type": "string", + "description": "Required. Controls the probability threshold at which harm is blocked.", + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ], + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ] + }, + "category": { + "description": "Required. The category for this setting.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ] } } }, - "TuningExample": { + "InlinedEmbedContentResponses": { + "type": "object", "properties": { - "textInput": { - "description": "Optional. Text model input.", - "type": "string" - }, - "output": { - "description": "Required. The expected model output.", - "type": "string" + "inlinedResponses": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "description": "Output only. The responses to the requests in the batch.", + "type": "array" } }, - "description": "A single example for tuning.", - "type": "object" + "description": "The responses to the requests in the batch." }, - "ListFileSearchStoresResponse": { - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "GoogleMaps": { "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - }, - "fileSearchStores": { - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "description": "The returned rag_stores.", - "type": "array" + "enableWidget": { + "type": "boolean", + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." } - } + }, + "description": "The GoogleMaps Tool that provides geospatial context for the user's query." }, - "FileData": { - "description": "URI based data.", + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "type": "object", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "embedding": { + "$ref": "#/components/schemas/ContentEmbedding", + "readOnly": true, + "description": "Output only. The embedding generated from the input content." }, - "fileUri": { - "description": "Required. URI.", - "type": "string" + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true } } }, - "LogprobsResultCandidate": { + "ThinkingConfig": { + "description": "Config for thinking features.", + "type": "object", "properties": { - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" - }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" }, - "tokenId": { - "description": "The candidate\u2019s token id value.", + "thinkingBudget": { "type": "integer", + "description": "The number of thoughts tokens that the model should generate.", "format": "int32" - } - }, - "description": "Candidate for the logprobs token and score.", - "type": "object" - }, - "SpeakerVoiceConfig": { - "description": "The configuration for a single speaker in a multi speaker setup.", - "type": "object", - "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "type": "string" }, - "voiceConfig": { - "description": "Required. The configuration for the voice to use.", - "$ref": "#/components/schemas/VoiceConfig" + "thinkingLevel": { + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "type": "string", + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ] } } }, - "InlinedResponse": { + "ListTunedModelsResponse": { + "type": "object", "properties": { - "response": { - "readOnly": true, - "$ref": "#/components/schemas/GenerateContentResponse", - "description": "Output only. The response to the request." - }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + "tunedModels": { + "items": { + "$ref": "#/components/schemas/TunedModel" }, - "readOnly": true + "type": "array", + "description": "The returned Models." }, - "error": { - "readOnly": true, - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request." + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } }, - "description": "The response to a single request in the batch.", - "type": "object" + "description": "Response from `ListTunedModels` containing a paginated list of Models." }, - "Model": { + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", + "type": "object", "properties": { - "topP": { - "format": "float", - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", - "type": "number" - }, - "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" + "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" }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" + "state": { + "type": "string", + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "description": "Output only. The state of the batch.", + "readOnly": true, + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] }, - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "type": "string", + "description": "Output only. The time at which the batch was last updated." }, - "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" + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/BatchStats" }, - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", - "type": "integer", - "format": "int32" + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true }, - "description": { - "description": "A short description of the model.", - "type": "string" + "endTime": { + "type": "string", + "description": "Output only. The time at which the batch processing completed.", + "format": "google-datetime", + "readOnly": true }, - "outputTokenLimit": { - "format": "int32", - "description": "Maximum number of output tokens available for this model.", - "type": "integer" + "model": { + "type": "string", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." }, - "supportedGenerationMethods": { - "items": { - "type": "string" - }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "type": "array" + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" + "inputConfig": { + "$ref": "#/components/schemas/InputConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." }, - "temperature": { - "format": "float", - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number" + "displayName": { + "type": "string", + "description": "Required. The user-defined name of this batch." }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "createTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", "type": "string" - }, - "topK": { - "format": "int32", - "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", - "type": "integer" } - }, - "description": "Information about a Generative Language Model.", - "type": "object" + } }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", "type": "object", "properties": { - "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", - "type": "string" - }, - "updateTime": { - "format": "google-datetime", - "readOnly": true, - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "type": "string" - }, - "state": { - "description": "Output only. Current state of the `Document`.", - "readOnly": true, - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], - "type": "string" - }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string", - "readOnly": true, - "format": "int64" + "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" }, - "mimeType": { - "description": "Output only. The mime type of the Document.", - "type": "string", - "readOnly": true + "startIndex": { + "type": "integer", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "format": "int32" }, - "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`", + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "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" - } + "endIndex": { + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer", + "format": "int32" } } }, @@ -5541,1127 +5605,1063 @@ "description": "The request to be processed in the batch.", "type": "object", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - }, "metadata": { "description": "Optional. The metadata to be associated with the request.", "type": "object", "additionalProperties": { "description": "Properties of the object." } + }, + "request": { + "$ref": "#/components/schemas/EmbedContentRequest", + "description": "Required. The request to be processed in the batch." } } }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "BatchStats": { + "description": "Stats about the batch.", "type": "object", "properties": { - "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" - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "failedRequestCount": { + "format": "int64", + "readOnly": true, + "type": "string", + "description": "Output only. The number of requests that failed to be processed." }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "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}`.", + "requestCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests in the batch.", "type": "string" }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "successfulRequestCount": { + "format": "int64", + "readOnly": true, + "type": "string", + "description": "Output only. The number of requests that were successfully processed." } } }, - "SafetySetting": { + "TuningSnapshot": { + "type": "object", "properties": { - "category": { - "description": "Required. The category for this setting.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "type": "string", - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ] + "meanLoss": { + "type": "number", + "description": "Output only. The mean loss of the training examples for this step.", + "format": "float", + "readOnly": true }, - "threshold": { - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ], - "description": "Required. Controls the probability threshold at which harm is blocked.", + "computeTime": { "type": "string", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ] + "description": "Output only. The timestamp when this metric was computed.", + "format": "google-datetime", + "readOnly": true + }, + "epoch": { + "description": "Output only. The epoch this step was part of.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "step": { + "format": "int32", + "readOnly": true, + "type": "integer", + "description": "Output only. The tuning step." } }, - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", - "type": "object" + "description": "Record for a single tuning step." }, - "CitationSource": { + "FunctionCall": { + "type": "object", "properties": { - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" - }, - "startIndex": { - "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" + "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." }, - "endIndex": { - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive.", - "type": "integer" + "args": { + "type": "object", + "description": "Optional. The function parameters and values in JSON object format.", + "additionalProperties": { + "description": "Properties of the object." + } }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", + "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" } }, - "description": "A citation to a source for a portion of a specific response.", - "type": "object" + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." }, - "PlaceAnswerSources": { + "GenerateContentResponse": { + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", + "type": "object", "properties": { - "reviewSnippets": { - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "type": "array", + "candidates": { "items": { - "$ref": "#/components/schemas/ReviewSnippet" + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model.", + "type": "array" + }, + "usageMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/UsageMetadata", + "description": "Output only. Metadata on the generation requests' token usage." + }, + "modelVersion": { + "description": "Output only. The model version used to generate the response.", + "type": "string", + "readOnly": true + }, + "modelStatus": { + "description": "Output only. The current model status of this model.", + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus" + }, + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" + }, + "responseId": { + "type": "string", + "description": "Output only. response_id is used to identify each response.", + "readOnly": true + } + } + }, + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "type": "object", + "properties": { + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" + }, + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "type": "string" + } + } + }, + "Operation": { + "type": "object", + "properties": { + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "type": "object", + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any." + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" + }, + "name": { + "type": "string", + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." + }, + "response": { + "type": "object", + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." } + }, + "error": { + "$ref": "#/components/schemas/Status", + "description": "The error result of the operation in case of failure or cancellation." } }, - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", - "type": "object" + "description": "This resource represents a long-running operation that is the result of a network API call." }, - "ContentEmbedding": { + "StreamableHttpTransport": { + "type": "object", "properties": { - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array", - "items": { - "format": "int32", - "type": "integer" - } + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", + "type": "string", + "format": "google-duration" }, - "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" + "terminateOnClose": { + "type": "boolean", + "description": "Whether to close the client session when the transport closes." + }, + "url": { + "type": "string", + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" + }, + "headers": { + "type": "object", + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "additionalProperties": { + "type": "string" } + }, + "timeout": { + "format": "google-duration", + "description": "HTTP timeout for regular operations.", + "type": "string" } }, - "description": "A list of floats representing an embedding.", - "type": "object" - }, - "FunctionResponsePart": { - "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.", - "type": "object" + "description": "A transport that can stream HTTP requests and responses. Next ID: 6" }, - "AttributionSourceId": { + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "type": "object", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "maxTokensPerChunk": { + "format": "int32", + "type": "integer", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow." }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer", + "format": "int32" } - }, - "description": "Identifier for the source contributing to this attribution.", - "type": "object" + } }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", "properties": { - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "codeExecutionResult": { + "$ref": "#/components/schemas/CodeExecutionResult", + "description": "Result of executing the `ExecutableCode`." }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "executableCode": { + "$ref": "#/components/schemas/ExecutableCode", + "description": "Code generated by the model that is meant to be executed." }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "toolCall": { + "$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." }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "toolResponse": { + "$ref": "#/components/schemas/ToolResponse", + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`." + }, + "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" + }, + "mediaResolution": { + "$ref": "#/components/schemas/MediaResolution", + "description": "Optional. Media resolution for the input media." + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "thoughtSignature": { + "format": "byte", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "type": "string" + }, + "text": { + "description": "Inline text.", + "type": "string" + }, + "inlineData": { + "$ref": "#/components/schemas/Blob", + "description": "Inline media bytes." + }, + "videoMetadata": { + "$ref": "#/components/schemas/VideoMetadata", + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" } } }, - "Candidate": { - "description": "A response candidate generated from the model.", + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", "type": "object", "properties": { - "citationMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata", - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." - }, - "index": { - "description": "Output only. Index of the candidate in the list of response candidates.", - "type": "integer", + "endIndex": { "format": "int32", - "readOnly": true - }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } - }, - "avgLogprobs": { - "format": "double", - "readOnly": true, - "description": "Output only. Average log probability score of the candidate.", - "type": "number" - }, - "urlContextMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/UrlContextMetadata", - "description": "Output only. Metadata related to url context retrieval tool." - }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer" }, - "finishReason": { + "text": { "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "readOnly": true, - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE" - ] + "description": "The text corresponding to the segment from the response." }, - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "readOnly": true, - "$ref": "#/components/schemas/LogprobsResult" + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" }, - "tokenCount": { - "description": "Output only. Token count for this candidate.", + "startIndex": { "type": "integer", - "format": "int32", - "readOnly": true + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "format": "int32" + } + } + }, + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", + "properties": { + "metadata": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The metadata to be associated with the request.", + "type": "object" }, - "content": { - "description": "Output only. Generated content returned from the model.", - "readOnly": true, - "$ref": "#/components/schemas/Content" + "request": { + "$ref": "#/components/schemas/GenerateContentRequest", + "description": "Required. The request to be processed in the batch." + } + } + }, + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", + "type": "object", + "properties": { + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages." }, - "finishMessage": { - "readOnly": true, - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "cachedContents": { + "items": { + "$ref": "#/components/schemas/CachedContent" + }, + "type": "array", + "description": "List of cached contents." + } + } + }, + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", + "type": "object", + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", "type": "string" - }, - "groundingMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/GroundingMetadata", - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls." } } }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "type": "object", "properties": { - "promptTokenDetails": { - "readOnly": true, + "confidenceScores": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "number", + "format": "float" }, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array" + "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." }, - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", - "type": "integer", - "format": "int32", - "readOnly": true + "segment": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", + "description": "Segment of the content this support belongs to." + }, + "renderedParts": { + "type": "array", + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "readOnly": true, + "items": { + "type": "integer", + "format": "int32" + } + }, + "groundingChunkIndices": { + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array", + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order)." } - } + }, + "description": "Grounding support." }, - "GenerationConfig": { + "Maps": { + "type": "object", "properties": { - "topP": { - "format": "float", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "number" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "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" - }, - "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" - }, - "logprobs": { - "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].", - "type": "integer" - }, - "seed": { - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "type": "integer" - }, - "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.", - "$ref": "#/components/schemas/ImageConfig" - }, - "mediaResolution": { - "description": "Optional. If specified, the media resolution specified will be used.", + "placeId": { "type": "string", - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ], - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] - }, - "candidateCount": { - "format": "int32", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", - "type": "integer" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "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" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place." }, - "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number", - "format": "float" + "text": { + "type": "string", + "description": "Text description of the place answer." }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" + "title": { + "type": "string", + "description": "Title of the place." }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "uri": { + "description": "URI reference of the place.", + "type": "string" }, - "responseModalities": { - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" + } + }, + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place." + }, + "UrlContext": { + "type": "object", + "properties": {}, + "description": "Tool to support URL context retrieval." + }, + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", + "type": "object", + "properties": { + "operations": { "type": "array", + "description": "A list of operations that matches the specified filter in the request.", "items": { - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ] + "$ref": "#/components/schemas/Operation" } }, - "stopSequences": { + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array", "items": { "type": "string" - }, - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array" - }, - "topK": { - "format": "int32", - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer" + } }, - "frequencyPenalty": { - "format": "float", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number" + "nextPageToken": { + "type": "string", + "description": "The standard List next-page token." + } + } + }, + "UrlMetadata": { + "type": "object", + "properties": { + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "maxOutputTokens": { - "format": "int32", - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "type": "integer" + "urlRetrievalStatus": { + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ], + "type": "string", + "description": "Status of the url retrieval.", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ] } }, - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object" + "description": "Context of the a single url retrieval." }, - "Empty": { - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "Web": { + "description": "Chunk from the web.", "type": "object", - "properties": {} + "properties": { + "uri": { + "readOnly": true, + "type": "string", + "description": "Output only. URI reference of the chunk." + }, + "title": { + "readOnly": true, + "type": "string", + "description": "Output only. Title of the chunk." + } + } }, - "WebSearch": { - "properties": {}, - "description": "Standard web search for grounding and related configurations.", - "type": "object" + "ListPermissionsResponse": { + "type": "object", + "properties": { + "permissions": { + "type": "array", + "description": "Returned permissions.", + "items": { + "$ref": "#/components/schemas/Permission" + } + }, + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + } + }, + "description": "Response from `ListPermissions` containing a paginated list of permissions." }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "GeneratedFile": { + "description": "A file generated on behalf of a user.", "type": "object", "properties": { - "baseModel": { - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", - "type": "string", - "readOnly": true + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" + }, + "state": { + "description": "Output only. The state of the GeneratedFile.", + "readOnly": true, + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], + "type": "string" }, - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "mimeType": { + "description": "MIME type of the generatedFile.", "type": "string" } } }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "type": "object", "properties": { - "values": { - "items": { - "type": "string" - }, - "description": "The string values of the metadata to store.", - "type": "array" - } - } - }, - "FileSearchStore": { - "properties": { - "name": { - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", - "type": "string" - }, "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", - "type": "string", + "format": "google-datetime", "readOnly": true, - "format": "google-datetime" - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "type": "string", - "readOnly": true, - "format": "google-datetime" + "description": "Output only. The timestamp of when the `File` was created." }, - "pendingDocumentsCount": { - "format": "int64", + "sha256Hash": { "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes.", "type": "string" }, - "failedDocumentsCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "displayName": { + "description": "Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: \"Welcome Image\"", "type": "string" }, + "expirationTime": { + "type": "string", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "format": "google-datetime", + "readOnly": true + }, "sizeBytes": { + "type": "string", + "description": "Output only. Size of the file in bytes.", "format": "int64", - "readOnly": true, - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "type": "string" + "readOnly": true }, - "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" + "name": { + "type": "string", + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" }, - "activeDocumentsCount": { - "format": "int64", + "mimeType": { "readOnly": true, - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "type": "string" - } - }, - "description": "A `FileSearchStore` is a collection of `Document`s.", - "type": "object" - }, - "CustomLongRunningOperation": { - "type": "object", - "properties": { - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "description": "Output only. MIME type of the file.", "type": "string" }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "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" - }, "error": { - "description": "The error result of the operation in case of failure or cancellation.", + "description": "Output only. Error status if File processing failed.", + "readOnly": true, "$ref": "#/components/schemas/Status" }, - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" - } - } - }, - "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": { - "format": "google-datetime", - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", - "type": "string" - }, - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "uri": { "type": "string", - "format": "google-datetime" - } - } - }, - "InlinedEmbedContentResponses": { - "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "type": "array", + "description": "Output only. The uri of the `File`.", + "readOnly": true + }, + "videoMetadata": { "readOnly": true, - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - } - } - }, - "description": "The responses to the requests in the batch.", - "type": "object" - }, - "GenerateContentRequest": { - "properties": { - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "$ref": "#/components/schemas/VideoFileMetadata", + "description": "Output only. Metadata for a video." }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } + "source": { + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "type": "string", + "description": "Source of the File.", + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ] }, - "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" + "downloadUri": { + "type": "string", + "description": "Output only. The download uri of the `File`.", + "readOnly": true }, - "serviceTier": { - "description": "Optional. The service tier of the request.", + "state": { "type": "string", "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." ], + "description": "Output only. Processing state of the File.", + "readOnly": true, "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" ] }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "safetySettings": { - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, - "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" - }, - "contents": { - "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "type": "array" - }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated.", + "type": "string" + } + } + }, + "ToolResponse": { + "type": "object", + "properties": { + "id": { + "type": "string", + "description": "Optional. The identifier of the tool call this response is for." }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "toolType": { + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], "type": "string" + }, + "response": { + "type": "object", + "description": "Optional. The tool response.", + "additionalProperties": { + "description": "Properties of the object." + } + } + }, + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`." + }, + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object", + "properties": { + "inlineData": { + "$ref": "#/components/schemas/FunctionResponseBlob", + "description": "Inline media bytes." } - }, - "description": "Request to generate a completion from the model.", - "type": "object" + } }, - "ImageSearch": { + "TransferOwnershipResponse": { + "type": "object", "properties": {}, - "description": "Image search for grounding and related configurations.", - "type": "object" + "description": "Response from `TransferOwnership`." }, - "Maps": { + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", + "type": "object", "properties": { - "uri": { - "description": "URI reference of the place.", - "type": "string" - }, - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", - "type": "string" - }, - "text": { - "description": "Text description of the place answer.", - "type": "string" - }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "title": { - "description": "Title of the place.", - "type": "string" + "name": { + "type": "string", + "description": "The name of the MCPServer." } - }, - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "type": "object" + } }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", "properties": { - "mode": { + "safetyRatings": { + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "type": "array", + "description": "Ratings for safety of the prompt. There is at most one rating per category." + }, + "blockReason": { + "type": "string", + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "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\"." + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." ], - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "type": "string", "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" ] - }, - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array", - "items": { - "type": "string" - } } } }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "TuningExample": { "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", + "textInput": { + "description": "Optional. Text model input.", "type": "string" }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was created.", + "output": { + "description": "Required. The expected model output.", "type": "string" + } + }, + "description": "A single example for tuning." + }, + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", + "type": "object", + "properties": { + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" }, - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", - "type": "string" + "numericValue": { + "type": "number", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "format": "float" }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "key": { "type": "string", - "readOnly": true, - "format": "google-datetime" + "description": "The key of the metadata." + }, + "stringValue": { + "type": "string", + "description": "Optional. The string value of the metadata." } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", "properties": { - "pendingRequestCount": { - "format": "int64", + "error": { + "$ref": "#/components/schemas/Status", "readOnly": true, - "description": "Output only. The number of requests that are still pending processing.", - "type": "string" + "description": "Output only. The error encountered while processing the request." }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "type": "string", - "format": "int64", + "metadata": { + "description": "Output only. The metadata associated with the request.", + "type": "object", + "readOnly": true, + "additionalProperties": { + "description": "Properties of the object." + } + }, + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse", "readOnly": true + } + } + }, + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", + "properties": { + "functionCallingConfig": { + "$ref": "#/components/schemas/FunctionCallingConfig", + "description": "Optional. Function calling config." }, - "failedRequestCount": { - "format": "int64", - "readOnly": true, - "description": "Output only. The number of requests that failed to be processed.", - "type": "string" + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" }, - "requestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests in the batch.", - "type": "string" + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." } } }, - "ListDocumentsResponse": { + "Content": { + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", + "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "parts": { + "items": { + "$ref": "#/components/schemas/Part" + }, + "type": "array", + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types." }, - "documents": { - "description": "The returned `Document`s.", + "role": { + "type": "string", + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset." + } + } + }, + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "type": "object", + "properties": { + "generateContentRequest": { + "$ref": "#/components/schemas/GenerateContentRequest", + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both." + }, + "contents": { "type": "array", + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "items": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Content" } } + } + }, + "ListFileSearchStoresResponse": { + "type": "object", + "properties": { + "fileSearchStores": { + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores.", + "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" + } }, - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", - "type": "object" + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`." }, - "LogprobsResult": { - "description": "Logprobs Result", + "PlaceAnswerSources": { "type": "object", "properties": { - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "reviewSnippets": { + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + }, + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array" + } + }, + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources." + }, + "EmbedContentBatchOutput": { + "type": "object", + "properties": { + "inlinedResponses": { + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." + }, + "responsesFile": { + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "type": "string", + "readOnly": true + } + }, + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field." + }, + "InlinedResponses": { + "type": "object", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "$ref": "#/components/schemas/InlinedResponse" } - }, - "logProbabilitySum": { - "format": "float", - "description": "Sum of log probabilities for all tokens.", - "type": "number" - }, - "topCandidates": { - "description": "Length = total number of decoding steps.", + } + }, + "description": "The responses to the requests in the batch." + }, + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "type": "object", + "properties": { + "urlMetadata": { "type": "array", + "description": "List of url context.", "items": { - "$ref": "#/components/schemas/TopCandidates" + "$ref": "#/components/schemas/UrlMetadata" } } } }, - "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.", + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "type": "object", "properties": { - "tools": { - "items": { - "$ref": "#/components/schemas/Tool" - }, - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array" - }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "completeTime": { + "format": "google-datetime", + "readOnly": true, "type": "string", - "readOnly": true + "description": "Output only. The timestamp when tuning this model completed." }, - "createTime": { + "hyperparameters": { + "$ref": "#/components/schemas/Hyperparameters", + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." + }, + "startTime": { "readOnly": true, "format": "google-datetime", - "description": "Output only. Creation time of the cache entry.", + "description": "Output only. The timestamp when tuning this model started.", "type": "string" }, - "usageMetadata": { + "snapshots": { + "type": "array", + "description": "Output only. Metrics collected during tuning.", "readOnly": true, - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "description": "Output only. Metadata on the usage of the cached content." - }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", - "type": "string" - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "ttl": { - "description": "Input only. New TTL for this resource, input only.", - "type": "string", - "format": "google-duration" - }, - "contents": { "items": { - "$ref": "#/components/schemas/Content" - }, - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array" - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" - }, - "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", - "type": "string", - "format": "google-datetime", - "readOnly": true - }, - "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" + "$ref": "#/components/schemas/TuningSnapshot" + } }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", - "type": "string" + "trainingData": { + "$ref": "#/components/schemas/Dataset", + "description": "Required. Input only. Immutable. The model training data." } } }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", "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.", + "candidates": { "type": "array", + "description": "Sorted by log probability in descending order.", "items": { - "$ref": "#/components/schemas/TuningExample" + "$ref": "#/components/schemas/LogprobsResultCandidate" } } } }, - "SafetyRating": { - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", "type": "object", "properties": { - "category": { - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "description": "Required. The category for this rating.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "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" + "documents": { + "description": "The returned `Document`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + } }, - "probability": { - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "description": "Required. The probability of harm for this content.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" - }, - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" } } }, - "CachedContentUsageMetadata": { - "properties": { - "totalTokenCount": { - "format": "int32", - "description": "Total number of tokens that the cached content consumes.", - "type": "integer" - } - }, - "description": "Metadata on the usage of the cached content.", - "type": "object" - }, - "TuningTask": { - "description": "Tuning tasks that create tuned models.", + "UploadToFileSearchStoreRequest": { + "description": "Request for `UploadToFileSearchStore`.", "type": "object", "properties": { - "completeTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model completed.", - "type": "string" - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" - }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", + "customMetadata": { "type": "array", - "readOnly": true, + "description": "Custom metadata to be associated with the data.", "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/CustomMetadata" } }, - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" + }, + "mimeType": { "type": "string", - "format": "google-datetime", - "readOnly": true + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" } } }, - "CreateFileRequest": { - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - }, - "description": "Request for `CreateFile`.", - "type": "object" - }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "type": "object", "properties": { - "uris": { + "citationSources": { "items": { - "type": "string" + "$ref": "#/components/schemas/CitationSource" }, - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "description": "Citations to sources for a specific response.", "type": "array" } } }, - "GoogleSearch": { - "properties": { - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" - }, - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" - } - }, - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "type": "object" - }, - "GroundingChunkCustomMetadata": { - "description": "User provided metadata about the GroundingFact.", + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "type": "object", "properties": { - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" - }, - "key": { - "description": "The key of the metadata.", - "type": "string" - }, - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" + "promptTokenCount": { + "format": "int32", + "readOnly": true, + "type": "integer", + "description": "Output only. Number of tokens in the prompt." }, - "numericValue": { - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "type": "number" + "promptTokenDetails": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array" } } }