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 7b31dfca..801df1e2 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 @@ -454,18 +454,18 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// Configures the input to the batch request. /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// Stats about the batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// 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 /// @@ -474,10 +474,10 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( string? updateMask = default, string? displayName = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? priority = default, + string? model = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - string? model = default, - string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { @@ -485,10 +485,10 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( { DisplayName = displayName, InputConfig = inputConfig, + Priority = priority, + Model = model, Output = output, BatchStats = batchStats, - Model = model, - 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 f834c6a8..1ef74b37 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -448,47 +448,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// 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. - /// /// /// Required. The user-defined name of this batch. /// /// /// Configures the input to the batch request. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// 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 /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - string? priority = default, string? displayName = default, global::Google.Gemini.InputConfig? inputConfig = default, + string? model = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? batchStats = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Model = model, - Priority = priority, DisplayName = displayName, InputConfig = inputConfig, + Model = model, Output = output, BatchStats = batchStats, + Priority = priority, }; return await BatchesUpdateGenerateContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs index 676bd557..66b97e7c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -425,60 +425,60 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// 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. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? expireTime = default, - global::System.Collections.Generic.IList? contents = default, string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? expireTime = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - ExpireTime = expireTime, - Contents = contents, DisplayName = displayName, - ToolConfig = toolConfig, - Model = model, Tools = tools, - Ttl = ttl, - SystemInstruction = systemInstruction, + Contents = contents, + Model = model, + ExpireTime = expireTime, UsageMetadata = usageMetadata, + SystemInstruction = systemInstruction, + Ttl = ttl, + ToolConfig = toolConfig, }; 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 d787ceb2..ab258f11 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -448,32 +448,32 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// 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. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -481,29 +481,29 @@ partial void ProcessCachedContentsPatchResponseContent( public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? expireTime = default, - global::System.Collections.Generic.IList? contents = default, string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? expireTime = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { - ExpireTime = expireTime, - Contents = contents, DisplayName = displayName, - ToolConfig = toolConfig, - Model = model, Tools = tools, - Ttl = ttl, - SystemInstruction = systemInstruction, + Contents = contents, + Model = model, + ExpireTime = expireTime, UsageMetadata = usageMetadata, + SystemInstruction = systemInstruction, + Ttl = ttl, + ToolConfig = toolConfig, }; 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 3e96ea23..9d1ebbcd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; return await DynamicGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs index 41ce7778..437771e2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; return await DynamicStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs index df3c33fd..8e20b232 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -376,66 +376,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs index 7dac3545..9f8368aa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresCreate.g.cs @@ -425,25 +425,25 @@ partial void ProcessFileSearchStoresCreateResponseContent( /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? embeddingModel = default, string? displayName = default, + string? embeddingModel = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.FileSearchStore { - EmbeddingModel = embeddingModel, DisplayName = displayName, + EmbeddingModel = embeddingModel, }; return await FileSearchStoresCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index 84aaacd5..6eebaf77 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -435,31 +435,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// 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, - 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, - 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 dbe30ef1..8e9a8f42 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 @@ -438,33 +438,33 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// /// 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 /// /// /// 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. + /// /// 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, 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, }; return await MediaUploadToFileSearchStoreAsync( 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 2f860a3a..34a2c9f5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; return await ModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs index ea14157d..9d834792 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; return await ModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs index a532120a..a2359adb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -376,66 +376,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; var __enumerable = ModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs index 9ad33075..839b04fa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -438,61 +438,61 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this 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. + /// + /// 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. List of project numbers that have read access to the tuned model. - /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. /// /// 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::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, - int? topK = default, + string? baseModel = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, float? temperature = default, - string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, + ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, Description = description, - TopK = topK, + BaseModel = baseModel, DisplayName = displayName, - ReaderProjectNumbers = readerProjectNumbers, - TunedModelSource = tunedModelSource, Temperature = temperature, - BaseModel = baseModel, - TuningTask = tuningTask, + TopK = topK, + TunedModelSource = tunedModelSource, + TopP = topP, }; 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 19642e8f..eaaae50e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; return await TunedModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs index fb6aa596..d802f356 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -448,32 +448,32 @@ 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. + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this 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. + /// + /// 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. List of project numbers that have read access to the tuned model. - /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -481,29 +481,29 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, - int? topK = default, + string? baseModel = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, float? temperature = default, - string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopP = topP, + ReaderProjectNumbers = readerProjectNumbers, + TuningTask = tuningTask, Description = description, - TopK = topK, + BaseModel = baseModel, DisplayName = displayName, - ReaderProjectNumbers = readerProjectNumbers, - TunedModelSource = tunedModelSource, Temperature = temperature, - BaseModel = baseModel, - TuningTask = tuningTask, + TopK = topK, + TunedModelSource = tunedModelSource, + TopP = topP, }; 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 154e26a8..8360580b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -435,66 +435,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; return await TunedModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index 72616e9c..3192e7c3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -376,66 +376,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - Model = model, - Tools = tools, + ToolConfig = toolConfig, Store = store, + ServiceTier = serviceTier, SystemInstruction = systemInstruction, + Model = model, SafetySettings = safetySettings, - ServiceTier = serviceTier, - Contents = contents, CachedContent = cachedContent, - ToolConfig = toolConfig, + Contents = contents, GenerationConfig = generationConfig, + Tools = tools, }; var __enumerable = TunedModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs index b67b5c06..ce6a96fa 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 @@ -47,18 +47,18 @@ public partial interface IGeminiClient /// /// Configures the input to the batch request. /// + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// + /// + /// 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. /// /// /// Stats about the batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -67,10 +67,10 @@ public partial interface IGeminiClient string? updateMask = default, string? displayName = default, global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, + string? priority = default, + string? model = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - string? model = default, - string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index d6969159..e411a741 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -41,36 +41,36 @@ 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. - /// /// /// Required. The user-defined name of this batch. /// /// /// Configures the input to the batch request. /// + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// 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 /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? model = default, - string? priority = default, string? displayName = default, global::Google.Gemini.InputConfig? inputConfig = default, + string? model = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, global::Google.Gemini.BatchStats? 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.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index 16890a5e..58ea572d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -31,46 +31,46 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// 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. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - string? expireTime = default, - global::System.Collections.Generic.IList? contents = default, string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? expireTime = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 d948d779..5d45d359 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -41,32 +41,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// /// /// 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. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -74,15 +74,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - string? expireTime = default, - global::System.Collections.Generic.IList? contents = default, string? displayName = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - string? model = default, global::System.Collections.Generic.IList? tools = default, - string? ttl = default, - global::Google.Gemini.Content? systemInstruction = default, + global::System.Collections.Generic.IList? contents = default, + string? model = default, + string? expireTime = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::Google.Gemini.ToolConfig? toolConfig = 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 5482a8e5..8643f721 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index 4e627d7b..e723b0d5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 403ce96f..366ebff4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs index 456dc9c7..9edab07f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresCreate.g.cs @@ -31,18 +31,18 @@ public partial interface IGeminiClient /// /// Creates an empty `FileSearchStore`. /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. - /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresCreateAsync( - string? embeddingModel = default, string? displayName = default, + string? embeddingModel = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index e0b568c2..f429f259 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -36,23 +36,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// 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, - 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 490b5361..7596bac4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -39,24 +39,24 @@ public partial interface IGeminiClient /// /// 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 /// /// /// 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. + /// /// 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, 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 112b7003..981d48e7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index 769c48b5..55f1361c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index d4ad1100..faa21df9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index fe48f5bc..8c4c6456 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -36,47 +36,47 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this 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. + /// + /// 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. List of project numbers that have read access to the tuned model. - /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. /// /// 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::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, - int? topK = default, + string? baseModel = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, float? temperature = default, - string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = 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 ac4c2336..0b90c9c0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index c6bcae65..94026a29 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -41,32 +41,32 @@ 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. + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this 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. + /// + /// 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. List of project numbers that have read access to the tuned model. - /// - /// - /// Tuned model as a source for training a new model. - /// /// /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - /// - /// Tuning tasks that create tuned models. + /// + /// 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -74,15 +74,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - float? topP = default, + global::System.Collections.Generic.IList? readerProjectNumbers = default, + global::Google.Gemini.TuningTask? tuningTask = default, string? description = default, - int? topK = default, + string? baseModel = default, string? displayName = default, - global::System.Collections.Generic.IList? readerProjectNumbers = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, float? temperature = default, - string? baseModel = default, - global::Google.Gemini.TuningTask? tuningTask = default, + int? topK = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? topP = 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 58e4d5ea..5708a183 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -36,51 +36,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index dead85da..0db80cd6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - string? model = default, - global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.Content? systemInstruction = default, + string? model = default, global::System.Collections.Generic.IList? safetySettings = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::System.Collections.Generic.IList? contents = default, string? cachedContent = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 7295cbe6..a7b0bb7c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,101 +13,93 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TextResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), @@ -117,373 +109,381 @@ namespace Google.Gemini typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseDisabledSafetyPolicieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatImageSizeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatDeliveryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - 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typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UsageMetadataServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UnixTimestampJsonConverter), })] 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [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.InlinedRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] [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.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseScheduling), TypeInfoPropertyName = "FunctionResponseScheduling2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] + [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.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ChunkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] + [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.FunctionCallingConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] - [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.AudioResponseFormat))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatDelivery), TypeInfoPropertyName = "AudioResponseFormatDelivery2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AudioResponseFormatMimeType), TypeInfoPropertyName = "AudioResponseFormatMimeType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TranslationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListDocumentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] + [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.ListTunedModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [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.GroundingAttribution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] + [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::System.Collections.Generic.IList))] + [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.TuningSnapshot))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [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.Empty))] [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.SpeechConfig))] - [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.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [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.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] - [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.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.FunctionResponseBlob))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadataServiceTier), TypeInfoPropertyName = "UsageMetadataServiceTier2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] + [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::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 d6e6d247..503bad00 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,387 +28,387 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type0 { get; set; } + public global::Google.Gemini.GenerationConfig? Type0 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type1 { get; set; } + public float? Type1 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type2 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type2 { get; set; } /// /// /// - public string? Type3 { get; set; } + public bool? Type3 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type4 { get; set; } + public global::System.Collections.Generic.IList? Type4 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type5 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type5 { get; set; } /// /// /// - public object? Type6 { get; set; } + public global::Google.Gemini.TranslationConfig? Type6 { get; set; } /// /// /// - public bool? Type7 { get; set; } + public int? Type7 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type8 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type8 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type9 { get; set; } + public global::Google.Gemini.SpeechConfig? Type9 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type10 { get; set; } + public string? Type10 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type11 { get; set; } + public global::Google.Gemini.ResponseFormatConfig? Type11 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type12 { get; set; } + public global::System.Collections.Generic.IList? Type12 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type13 { get; set; } + public global::Google.Gemini.Schema? Type13 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type14 { get; set; } + public global::Google.Gemini.ImageConfig? Type14 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type15 { get; set; } + public object? Type15 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type16 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type16 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type17 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type17 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type18 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type18 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type19 { get; set; } + public global::Google.Gemini.Content? Type19 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type20 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type20 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type21 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type21 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type22 { get; set; } + public global::System.Collections.Generic.IList? Type22 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type23 { get; set; } + public global::Google.Gemini.File? Type23 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type24 { get; set; } + public global::Google.Gemini.UsageMetadata? Type24 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type25 { get; set; } + public global::System.Collections.Generic.IList? Type25 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type26 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type26 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type27 { get; set; } + public global::Google.Gemini.UsageMetadataServiceTier? Type27 { get; set; } /// /// /// - public int? Type28 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type28 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type29 { get; set; } + public global::System.Collections.Generic.Dictionary? Type29 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type30 { get; set; } + public global::Google.Gemini.FileData? Type30 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type31 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type31 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type32 { get; set; } + public global::System.Collections.Generic.IList? Type32 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type33 { get; set; } + public global::Google.Gemini.FileSearchStore? Type33 { get; set; } /// /// /// - public double? Type34 { get; set; } + public global::Google.Gemini.InlinedRequests? Type34 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormat? Type35 { get; set; } + public global::System.Collections.Generic.IList? Type35 { get; set; } /// /// /// - public global::Google.Gemini.TextResponseFormatMimeType? Type36 { get; set; } + public global::Google.Gemini.InlinedRequest? Type36 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type37 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type37 { get; set; } /// /// /// - public float? Type38 { get; set; } + public global::Google.Gemini.Dataset? Type38 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type39 { get; set; } + public global::Google.Gemini.TuningExamples? Type39 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type40 { get; set; } + public global::Google.Gemini.Operation? Type40 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type41 { get; set; } + public global::Google.Gemini.Status? Type41 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type42 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type42 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type43 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type43 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type44 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type44 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type45 { get; set; } + public global::Google.Gemini.Interval? Type45 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type46 { get; set; } + public global::Google.Gemini.CitationSource? Type46 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type47 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type48 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type48 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type49 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type49 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type50 { get; set; } + public global::System.Collections.Generic.IList? Type50 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type51 { get; set; } + public global::System.Collections.Generic.IList? Type51 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type52 { get; set; } + public global::Google.Gemini.Part? Type52 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type53 { get; set; } + public global::Google.Gemini.ExecutableCode? Type53 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type54 { get; set; } + public byte[]? Type54 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type55 { get; set; } + public global::Google.Gemini.Blob? Type55 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type56 { get; set; } + public global::Google.Gemini.FunctionResponse? Type56 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type57 { get; set; } + public global::Google.Gemini.VideoMetadata? Type57 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type58 { get; set; } + public global::Google.Gemini.FunctionCall? Type58 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type59 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type59 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type60 { get; set; } + public global::Google.Gemini.ToolCall? Type60 { get; set; } /// /// /// - public global::Google.Gemini.File? Type61 { get; set; } + public global::Google.Gemini.ToolResponse? Type61 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type62 { get; set; } + public global::System.Collections.Generic.IList? Type62 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type63 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type63 { get; set; } /// /// /// - public byte[]? Type64 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type64 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type65 { get; set; } + public global::Google.Gemini.Corpus? Type65 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type66 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type66 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type67 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type67 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type68 { get; set; } + public global::Google.Gemini.VoiceConfig? Type68 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type69 { get; set; } + public global::Google.Gemini.SchemaType? Type69 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type70 { get; set; } + public double? Type70 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type71 { get; set; } + public global::System.Collections.Generic.IList? Type71 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type72 { get; set; } + public global::System.Collections.Generic.Dictionary? Type72 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type73 { get; set; } + public global::Google.Gemini.PromptFeedback? Type73 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type74 { get; set; } + public global::System.Collections.Generic.IList? Type74 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type75 { get; set; } + public global::Google.Gemini.SafetyRating? Type75 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type76 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type76 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type77 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type77 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type78 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type78 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type79 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type79 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type80 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type80 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type81 { get; set; } + public global::System.Collections.Generic.IList? Type81 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type82 { get; set; } + public global::Google.Gemini.CustomMetadata? Type82 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type83 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type83 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type84 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type84 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type85 { get; set; } + public global::Google.Gemini.Hyperparameters? Type85 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type86 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type86 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type87 { get; set; } + public global::Google.Gemini.Maps? Type87 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type88 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type88 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type89 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type89 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type90 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type90 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type91 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type91 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type92 { get; set; } + public global::System.Collections.Generic.IList? Type92 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type93 { get; set; } + public global::Google.Gemini.UrlMetadata? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type94 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type95 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type95 { get; set; } /// /// /// @@ -424,287 +424,287 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.TranslationConfig? Type99 { get; set; } + public global::Google.Gemini.TextResponseFormat? Type99 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type100 { get; set; } + public global::Google.Gemini.TextResponseFormatMimeType? Type100 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type101 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type101 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type102 { get; set; } + public global::Google.Gemini.Permission? Type102 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type103 { get; set; } + public global::Google.Gemini.PermissionRole? Type103 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type104 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type104 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type105 { get; set; } + public global::System.Collections.Generic.IList? Type105 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type106 { get; set; } + public global::Google.Gemini.ImageSearch? Type106 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type107 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type107 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type108 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type108 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type109 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type109 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type110 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type110 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type111 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type111 { get; set; } /// /// /// - public global::Google.Gemini.ResponseFormatConfig? Type112 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type112 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormat? Type113 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type113 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type114 { get; set; } + public global::System.Collections.Generic.IList? Type114 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type115 { get; set; } + public global::Google.Gemini.ModelStatus? Type115 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type116 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type116 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type117 { get; set; } + public global::Google.Gemini.LogprobsResult? Type117 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type118 { get; set; } + public global::System.Collections.Generic.IList? Type118 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type119 { get; set; } + public global::Google.Gemini.TopCandidates? Type119 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type120 { get; set; } + public global::System.Collections.Generic.IList? Type120 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type121 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type121 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type122 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type122 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type123 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type123 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type124 { get; set; } + public global::Google.Gemini.LatLng? Type124 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type125 { get; set; } + public global::Google.Gemini.StringList? Type125 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type126 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type126 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type127 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type127 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type128 { get; set; } + public global::System.Collections.Generic.IList? Type128 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type129 { get; set; } + public global::Google.Gemini.Document? Type129 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type130 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type130 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type131 { get; set; } + public global::Google.Gemini.ToolConfig? Type131 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type132 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type132 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type134 { get; set; } + public global::Google.Gemini.SafetySetting? Type134 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type135 { get; set; } + public global::System.Collections.Generic.IList? Type135 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type137 { get; set; } + public global::Google.Gemini.Tool? Type137 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatMimeType? Type138 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type138 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatImageSize? Type139 { get; set; } + public global::System.Collections.Generic.IList? Type139 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatDelivery? Type140 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type140 { get; set; } /// /// /// - public global::Google.Gemini.ImageResponseFormatAspectRatio? Type141 { get; set; } + public global::Google.Gemini.UrlContext? Type141 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type142 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type142 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type143 { get; set; } + public global::System.Collections.Generic.IList? Type143 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type144 { get; set; } + public global::Google.Gemini.Candidate? Type144 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type145 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type145 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type146 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type146 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type147 { get; set; } + public global::Google.Gemini.GoogleMaps? Type147 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type148 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type148 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type149 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type149 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type150 { get; set; } + public global::Google.Gemini.CodeExecution? Type150 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type151 { get; set; } + public global::System.Collections.Generic.IList? Type151 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type152 { get; set; } + public global::Google.Gemini.ComputerUse? Type152 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type153 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type153 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type154 { get; set; } + public global::Google.Gemini.GoogleSearch? Type154 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type156 { get; set; } + public global::Google.Gemini.McpServer? Type156 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type157 { get; set; } + public global::Google.Gemini.FileSearch? Type157 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type158 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type158 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type159 { get; set; } + public global::Google.Gemini.InlinedResponses? Type159 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type160 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type160 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type161 { get; set; } + public global::Google.Gemini.Web? Type161 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type162 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type162 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type163 { get; set; } + public global::Google.Gemini.RetrievedContext? Type163 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type164 { get; set; } + public global::System.Collections.Generic.IList? Type164 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type165 { get; set; } + public global::System.Collections.Generic.IList? Type165 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type166 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type166 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type167 { get; set; } + public global::System.Collections.Generic.IList? Type167 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type168 { get; set; } + public global::Google.Gemini.CachedContent? Type168 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type169 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type169 { get; set; } /// /// /// @@ -712,472 +712,472 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.GoogleMaps? Type171 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type171 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type172 { get; set; } + public global::Google.Gemini.InputConfig? Type172 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type173 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type173 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type174 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type174 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type175 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type175 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type176 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type176 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type177 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type177 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type178 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type178 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type179 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type179 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type180 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type180 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type181 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type181 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type182 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type182 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type183 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type183 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type184 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type184 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type185 { get; set; } + public global::System.Collections.Generic.IList? Type185 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type186 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type186 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type187 { get; set; } + public global::System.Collections.Generic.IList? Type187 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type188 { get; set; } + public global::Google.Gemini.ComputerUseDisabledSafetyPolicie? Type188 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type189 { get; set; } + public global::Google.Gemini.FileSource? Type189 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type190 { get; set; } + public global::Google.Gemini.FileState? Type190 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type191 { get; set; } + public global::Google.Gemini.GroundingChunk? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type192 { get; set; } + public global::Google.Gemini.Image? Type192 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type193 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type193 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type194 { get; set; } + public global::Google.Gemini.TuningExample? Type194 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type195 { get; set; } + public global::System.Collections.Generic.IList? Type195 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type196 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type196 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type197 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type197 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type198 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type198 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type199 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type199 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type200 { get; set; } + public global::Google.Gemini.DocumentState? Type200 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type201 { get; set; } + public global::Google.Gemini.ImageResponseFormat? Type201 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type202 { get; set; } + public global::Google.Gemini.ImageResponseFormatAspectRatio? Type202 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type203 { get; set; } + public global::Google.Gemini.ImageResponseFormatImageSize? Type203 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type204 { get; set; } + public global::Google.Gemini.ImageResponseFormatDelivery? Type204 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type205 { get; set; } + public global::Google.Gemini.ImageResponseFormatMimeType? Type205 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type206 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type206 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type208 { get; set; } + public global::Google.Gemini.Model? Type208 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type209 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type209 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type210 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type210 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type211 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type211 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type212 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type212 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type213 { get; set; } + public global::System.Collections.Generic.IList? Type213 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type214 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type214 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type215 { get; set; } + public global::System.Collections.Generic.IList? Type215 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type216 { get; set; } + public global::Google.Gemini.TunedModel? Type216 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type217 { get; set; } + public global::Google.Gemini.SearchTypes? Type217 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type218 { get; set; } + public global::Google.Gemini.WebSearch? Type218 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type219 { get; set; } + public global::Google.Gemini.CitationMetadata? Type219 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type220 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type220 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type221 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type221 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type222 { get; set; } + public global::System.Collections.Generic.IList? Type222 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type223 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type223 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type224 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type226 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type226 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type228 { get; set; } + public global::Google.Gemini.InlinedResponse? Type228 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type229 { get; set; } + public global::System.Collections.Generic.IList? Type229 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type230 { get; set; } + public global::Google.Gemini.TuningTask? Type230 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type231 { get; set; } + public global::System.Collections.Generic.IList? Type231 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type232 { get; set; } + public global::Google.Gemini.TunedModelSource? Type232 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type233 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type233 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type235 { get; set; } + public global::System.Collections.Generic.IList? Type235 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type236 { get; set; } + public global::Google.Gemini.TunedModelState? Type236 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type237 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type237 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type238 { get; set; } + public global::System.Collections.Generic.IList? Type238 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type239 { get; set; } + public global::Google.Gemini.Empty? Type239 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type240 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type240 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type241 { get; set; } + public global::System.Collections.Generic.IList? Type241 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type242 { get; set; } + public global::System.Collections.Generic.IList? Type242 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type243 { get; set; } + public global::System.Collections.Generic.IList? Type243 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type244 { get; set; } + public global::Google.Gemini.GeneratedFile? Type244 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type245 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type245 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadataServiceTier? Type246 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type246 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type247 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type247 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type248 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type248 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type249 { get; set; } + public global::System.Collections.Generic.IList? Type249 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType29 { get; set; } + public global::System.Collections.Generic.List? ListType29 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// @@ -1185,30 +1185,30 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.List? ListType39 { get; set; } + public global::System.Collections.Generic.List? ListType39 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType40 { get; set; } + public global::System.Collections.Generic.List? ListType40 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType41 { get; set; } + public global::System.Collections.Generic.List? ListType41 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType42 { get; set; } + public global::System.Collections.Generic.List? ListType42 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType43 { get; set; } + public global::System.Collections.Generic.List? ListType43 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType44 { get; set; } + public global::System.Collections.Generic.List? ListType44 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType45 { get; set; } + public global::System.Collections.Generic.List? ListType45 { get; set; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs index 31aabb54..5f9a1bf9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AttributionSourceId.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class AttributionSourceId { - /// - /// Identifier for a part within a `GroundingPassage`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] - public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } - /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// [global::System.Text.Json.Serialization.JsonPropertyName("semanticRetrieverChunk")] public global::Google.Gemini.SemanticRetrieverChunk? SemanticRetrieverChunk { get; set; } + /// + /// Identifier for a part within a `GroundingPassage`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingPassage")] + public global::Google.Gemini.GroundingPassageId? GroundingPassage { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class AttributionSourceId /// /// Initializes a new instance of the class. /// - /// - /// Identifier for a part within a `GroundingPassage`. - /// /// /// Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`. /// + /// + /// Identifier for a part within a `GroundingPassage`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AttributionSourceId( - global::Google.Gemini.GroundingPassageId? groundingPassage, - global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk) + global::Google.Gemini.SemanticRetrieverChunk? semanticRetrieverChunk, + global::Google.Gemini.GroundingPassageId? groundingPassage) { - this.GroundingPassage = groundingPassage; this.SemanticRetrieverChunk = semanticRetrieverChunk; + this.GroundingPassage = groundingPassage; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs index 7a1f8631..d6fde989 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.AudioResponseFormat.g.cs @@ -21,12 +21,6 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonPropertyName("sampleRate")] public int? SampleRate { get; set; } - /// - /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] - public int? BitRate { get; set; } - /// /// Optional. The MIME type of the audio output. /// @@ -34,6 +28,12 @@ public sealed partial class AudioResponseFormat [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.AudioResponseFormatMimeTypeJsonConverter))] public global::Google.Gemini.AudioResponseFormatMimeType? MimeType { get; set; } + /// + /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("bitRate")] + public int? BitRate { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -49,25 +49,25 @@ public sealed partial class AudioResponseFormat /// /// Optional. Sample rate in Hz. /// - /// - /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). - /// /// /// Optional. The MIME type of the audio output. /// + /// + /// Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public AudioResponseFormat( global::Google.Gemini.AudioResponseFormatDelivery? delivery, int? sampleRate, - int? bitRate, - global::Google.Gemini.AudioResponseFormatMimeType? mimeType) + global::Google.Gemini.AudioResponseFormatMimeType? mimeType, + int? bitRate) { this.Delivery = delivery; this.SampleRate = sampleRate; - this.BitRate = bitRate; this.MimeType = mimeType; + this.BitRate = bitRate; } /// 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 f2b3d072..670d2d70 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 in the batch.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { 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 in the batch.
- /// Included only in responses - /// - /// - /// Output only. The number of requests that were successfully processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// + /// + /// Output only. The number of requests in the batch.
+ /// Included only in responses + /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses /// + /// + /// Output only. The number of requests that were successfully processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? requestCount, - string? successfulRequestCount, string? pendingRequestCount, - string? failedRequestCount) + string? requestCount, + string? failedRequestCount, + string? successfulRequestCount) { - this.RequestCount = requestCount; - this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; + this.RequestCount = requestCount; this.FailedRequestCount = failedRequestCount; + 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 2f59c767..17a76eb9 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 { - /// - /// 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; } + /// + /// Raw bytes for media formats. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("data")] + public byte[]? Data { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// 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). // /// + /// + /// Raw bytes for media formats. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - byte[]? data, - string? mimeType) + string? mimeType, + byte[]? data) { - this.Data = data; this.MimeType = mimeType; + this.Data = data; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 16eab597..c62cb3a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -8,24 +8,6 @@ namespace Google.Gemini /// public sealed partial class CachedContent { - /// - /// 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; } - - /// - /// Optional. Input only. Immutable. The content to cache. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } - - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses @@ -34,10 +16,11 @@ public sealed partial class CachedContent public string? Name { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. Creation time of the cache entry.
@@ -47,11 +30,22 @@ public sealed partial class CachedContent public string? CreateTime { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + + /// + /// Optional. Input only. Immutable. The content to cache. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` @@ -60,16 +54,16 @@ public sealed partial class CachedContent public string? Model { get; set; } /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] + public string? ExpireTime { get; set; } /// - /// Input only. New TTL for this resource, input only. + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } + [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. @@ -78,10 +72,16 @@ public sealed partial class CachedContent public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Metadata on the usage of the cached content. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } + + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -92,74 +92,74 @@ public sealed partial class CachedContent /// /// Initializes a new instance of the class. /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. - /// /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses /// /// /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Metadata on the usage of the cached content. /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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 on the usage of the cached content. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( - string? expireTime, - global::System.Collections.Generic.IList? contents, - string? displayName, string? name, - global::Google.Gemini.ToolConfig? toolConfig, - string? createTime, string? updateTime, - string? model, + string? createTime, + string? displayName, global::System.Collections.Generic.IList? tools, - string? ttl, + global::System.Collections.Generic.IList? contents, + string? model, + string? expireTime, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, global::Google.Gemini.Content? systemInstruction, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) + string? ttl, + global::Google.Gemini.ToolConfig? toolConfig) { - this.ExpireTime = expireTime; - this.Contents = contents; - this.DisplayName = displayName; this.Name = name; - this.ToolConfig = toolConfig; - this.CreateTime = createTime; this.UpdateTime = updateTime; - this.Model = model; + this.CreateTime = createTime; + this.DisplayName = displayName; this.Tools = tools; - this.Ttl = ttl; - this.SystemInstruction = systemInstruction; + this.Contents = contents; + this.Model = model; + this.ExpireTime = expireTime; this.UsageMetadata = usageMetadata; + this.SystemInstruction = systemInstruction; + this.Ttl = ttl; + this.ToolConfig = toolConfig; } /// 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 d9ec7b9b..ca492325 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 @@ -8,24 +8,6 @@ namespace Google.Gemini /// public sealed partial class Candidate { - /// - /// Logprobs Result - /// - [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; } - - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Output only. Token count for this candidate.
/// Included only in responses @@ -33,6 +15,13 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] public int? TokenCount { get; set; } + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] + public double? AvgLogprobs { get; set; } + /// /// A collection of source attributions for a piece of content. /// @@ -40,11 +29,10 @@ public sealed partial class Candidate public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// /// Metadata related to url context retrieval tool. @@ -53,11 +41,10 @@ public sealed partial class Candidate public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
@@ -75,17 +62,30 @@ public sealed partial class Candidate public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } /// - /// Output only. Average log probability score of the candidate.
+ /// Metadata returned to client when grounding is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + + /// + /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { 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. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,32 +96,25 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Logprobs Result - /// - /// - /// Metadata returned to client when grounding is enabled. - /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. - /// /// /// Output only. Token count for this candidate.
/// Included only in responses /// + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses + /// /// /// A collection of source attributions for a piece of content. /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
- /// Included only in responses + /// + /// Logprobs Result /// /// /// Metadata related to url context retrieval tool. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// 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. /// /// /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
@@ -131,42 +124,49 @@ public sealed partial class Candidate /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
+ /// + /// Metadata returned to client when grounding is enabled. + /// + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// + /// Output only. Index of the candidate in the list of response candidates.
/// 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. + /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - global::Google.Gemini.LogprobsResult? logprobsResult, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - global::System.Collections.Generic.IList? safetyRatings, int? tokenCount, + double? avgLogprobs, global::Google.Gemini.CitationMetadata? citationMetadata, - global::System.Collections.Generic.IList? groundingAttributions, + global::Google.Gemini.LogprobsResult? logprobsResult, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, - int? index, + global::Google.Gemini.Content? content, string? finishMessage, global::Google.Gemini.CandidateFinishReason? finishReason, - double? avgLogprobs, - global::Google.Gemini.Content? content) + global::Google.Gemini.GroundingMetadata? groundingMetadata, + global::System.Collections.Generic.IList? safetyRatings, + int? index, + global::System.Collections.Generic.IList? groundingAttributions) { - this.LogprobsResult = logprobsResult; - this.GroundingMetadata = groundingMetadata; - this.SafetyRatings = safetyRatings; this.TokenCount = tokenCount; + this.AvgLogprobs = avgLogprobs; this.CitationMetadata = citationMetadata; - this.GroundingAttributions = groundingAttributions; + this.LogprobsResult = logprobsResult; this.UrlContextMetadata = urlContextMetadata; - this.Index = index; + this.Content = content; this.FinishMessage = finishMessage; this.FinishReason = finishReason; - this.AvgLogprobs = avgLogprobs; - this.Content = content; + this.GroundingMetadata = groundingMetadata; + this.SafetyRatings = safetyRatings; + this.Index = index; + this.GroundingAttributions = groundingAttributions; } /// 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 ae8f5c6f..6708374e 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class CitationSource { /// - /// 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. + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. @@ -27,10 +21,16 @@ public sealed partial class CitationSource public int? StartIndex { get; set; } /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// Optional. URI that is attributed as a source for a portion of the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } + [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 @@ -41,31 +41,31 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// Optional. End of the attributed segment, exclusive. - /// - /// - /// Optional. URI that is attributed as a source for a portion of the text. + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + /// 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( - int? endIndex, - string? uri, + string? license, int? startIndex, - string? license) + string? uri, + int? endIndex) { - this.EndIndex = endIndex; - this.Uri = uri; - this.StartIndex = startIndex; this.License = license; + this.StartIndex = startIndex; + 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 414511e6..11556e1a 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 +9,10 @@ namespace Google.Gemini public sealed partial class CodeExecutionResult { /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public string? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Required. Outcome of the code execution. @@ -22,10 +22,10 @@ public sealed partial class CodeExecutionResult public global::Google.Gemini.CodeExecutionResultOutcome? Outcome { get; set; } /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public string? Output { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// - /// - /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. + /// + /// 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. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( - string? output, + string? id, global::Google.Gemini.CodeExecutionResultOutcome? outcome, - string? id) + string? output) { - this.Output = output; - this.Outcome = outcome; this.Id = id; + this.Outcome = outcome; + this.Output = output; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs index 17e526a2..6e234610 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ComputerUse.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ComputerUse { - /// - /// Optional. Whether enable the prompt injection detection check on computer-use request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("enablePromptInjectionDetection")] - public bool? EnablePromptInjectionDetection { get; set; } - /// /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. /// @@ -21,10 +15,10 @@ public sealed partial class ComputerUse public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } /// - /// Optional. Disabled safety policies for computer use. + /// Optional. Whether enable the prompt injection detection check on computer-use request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("disabledSafetyPolicies")] - public global::System.Collections.Generic.IList? DisabledSafetyPolicies { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enablePromptInjectionDetection")] + public bool? EnablePromptInjectionDetection { get; set; } /// /// Required. The environment being operated. @@ -33,6 +27,12 @@ public sealed partial class ComputerUse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter))] public global::Google.Gemini.ComputerUseEnvironment? Environment { get; set; } + /// + /// Optional. Disabled safety policies for computer use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("disabledSafetyPolicies")] + public global::System.Collections.Generic.IList? DisabledSafetyPolicies { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,31 +42,31 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// Optional. Whether enable the prompt injection detection check on computer-use request. - /// /// /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. /// - /// - /// Optional. Disabled safety policies for computer use. + /// + /// Optional. Whether enable the prompt injection detection check on computer-use request. /// /// /// Required. The environment being operated. /// + /// + /// Optional. Disabled safety policies for computer use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - bool? enablePromptInjectionDetection, global::System.Collections.Generic.IList? excludedPredefinedFunctions, - global::System.Collections.Generic.IList? disabledSafetyPolicies, - global::Google.Gemini.ComputerUseEnvironment? environment) + bool? enablePromptInjectionDetection, + global::Google.Gemini.ComputerUseEnvironment? environment, + global::System.Collections.Generic.IList? disabledSafetyPolicies) { - this.EnablePromptInjectionDetection = enablePromptInjectionDetection; this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; - this.DisabledSafetyPolicies = disabledSafetyPolicies; + this.EnablePromptInjectionDetection = enablePromptInjectionDetection; this.Environment = environment; + this.DisabledSafetyPolicies = disabledSafetyPolicies; } /// 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 2381f72d..941fe884 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 { - /// - /// 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; } + /// + /// 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; } + /// /// 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. /// - /// - /// 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]). /// + /// + /// The embedding values. This is for 3P users only and will not be populated for 1P calls. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ContentEmbedding( - global::System.Collections.Generic.IList? values, - global::System.Collections.Generic.IList? shape) + global::System.Collections.Generic.IList? shape, + global::System.Collections.Generic.IList? values) { - this.Values = values; this.Shape = shape; + this.Values = values; } /// 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 ac6c974b..93034ab5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -22,18 +22,18 @@ public sealed partial class Corpus public string? DisplayName { 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; } /// - /// 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 @@ -51,27 +51,27 @@ public sealed partial class Corpus /// /// Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( string? name, string? displayName, - string? createTime, - string? updateTime) + string? updateTime, + string? createTime) { this.Name = name; this.DisplayName = displayName; - this.CreateTime = createTime; this.UpdateTime = updateTime; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index ac0638cc..311248e0 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class CountTokensResponse { /// - /// Number of tokens in the cached part of the prompt (the cached content). + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. @@ -20,13 +21,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] public int? TotalTokens { get; set; } - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// - [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 @@ -34,6 +28,12 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + /// + /// Number of tokens in the cached part of the prompt (the cached content). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,33 +43,33 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// Number of tokens in the cached part of the prompt (the cached content). - /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// /// /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// /// /// 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). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? cachedContentTokenCount, - int? totalTokens, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails) + int? totalTokens, + global::System.Collections.Generic.IList? cacheTokensDetails, + int? cachedContentTokenCount) { - this.CachedContentTokenCount = cachedContentTokenCount; - this.TotalTokens = totalTokens; this.PromptTokensDetails = promptTokensDetails; + this.TotalTokens = totalTokens; this.CacheTokensDetails = cacheTokensDetails; + this.CachedContentTokenCount = cachedContentTokenCount; } /// 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 ed63b3ca..d4c24cd6 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CustomLongRunningOperation { + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// The 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`. /// @@ -15,10 +21,10 @@ public sealed partial class CustomLongRunningOperation public object? Response { get; set; } /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// 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("metadata")] - public object? Metadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. @@ -27,16 +33,10 @@ public sealed partial class CustomLongRunningOperation public string? Name { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } - - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// /// 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 `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// 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 server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( + global::Google.Gemini.Status? error, object? response, - object? metadata, - string? name, bool? done, - global::Google.Gemini.Status? error) + string? name, + object? metadata) { + this.Error = error; this.Response = response; - this.Metadata = metadata; - this.Name = name; this.Done = done; - this.Error = error; + this.Name = name; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 0b1d9980..71d22575 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 @@ -14,6 +14,12 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } + /// + /// User provided string values assigned to a single metadata key. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } + /// /// The numeric value of the metadata to store. /// @@ -26,12 +32,6 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("key")] public string? Key { get; set; } - /// - /// User provided string values assigned to a single metadata key. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class CustomMetadata /// /// The string value of the metadata to store. /// + /// + /// User provided string values assigned to a single metadata key. + /// /// /// The numeric value of the metadata to store. /// /// /// Required. The key of the metadata to store. /// - /// - /// User provided string values assigned to a single metadata key. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( string? stringValue, + global::Google.Gemini.StringList? stringListValue, float? numericValue, - string? key, - global::Google.Gemini.StringList? stringListValue) + string? key) { this.StringValue = stringValue; + this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; - this.StringListValue = stringListValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index fd9b82fd..5abb142f 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 @@ -9,12 +9,11 @@ namespace Google.Gemini public sealed partial class Document { /// - /// Output only. Current state of the `Document`.
+ /// Output only. The Timestamp of when the `Document` was last updated.
/// 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("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. The size of raw bytes ingested into the Document.
@@ -23,6 +22,12 @@ public sealed partial class Document [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] public string? SizeBytes { get; set; } + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Output only. The mime type of the Document.
/// Included only in responses @@ -31,11 +36,10 @@ public sealed partial class Document public string? MimeType { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// 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("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Output only. The Timestamp of when the `Document` was created.
@@ -51,16 +55,12 @@ public sealed partial class Document public string? DisplayName { get; set; } /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// Output only. Current state of the `Document`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter))] + public global::Google.Gemini.DocumentState? State { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,21 +71,23 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Output only. Current state of the `Document`.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// /// /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// + /// + /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` + /// /// /// Output only. The mime type of the Document.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// 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`. /// /// /// Output only. The Timestamp of when the `Document` was created.
@@ -94,33 +96,31 @@ 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" /// - /// - /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` - /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// Output only. Current state of the `Document`.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - global::Google.Gemini.DocumentState? state, + string? updateTime, string? sizeBytes, + string? name, string? mimeType, - string? updateTime, + global::System.Collections.Generic.IList? customMetadata, string? createTime, string? displayName, - string? name, - global::System.Collections.Generic.IList? customMetadata) + global::Google.Gemini.DocumentState? state) { - this.State = state; + this.UpdateTime = updateTime; this.SizeBytes = sizeBytes; + this.Name = name; this.MimeType = mimeType; - this.UpdateTime = updateTime; + this.CustomMetadata = customMetadata; this.CreateTime = createTime; this.DisplayName = displayName; - this.Name = name; - this.CustomMetadata = customMetadata; + this.State = state; } /// 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 2af3b370..314da644 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 @@ -21,23 +21,26 @@ public sealed partial class EmbedContentBatch public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Stats about the batch. + /// Output only. The time at which the batch was last updated.
+ /// 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("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. The time at which the batch was created.
@@ -47,38 +50,35 @@ public sealed partial class EmbedContentBatch public string? CreateTime { get; set; } /// - /// Output only. The time at which the batch was last updated.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// 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("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { 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.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Stats about the batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,29 +95,20 @@ public sealed partial class EmbedContentBatch /// /// Configures the input to the batch request. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// Output only. The state of the batch.
/// 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 time at which the batch was created.
+ /// + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. The time at which the batch was created.
/// Included only in responses /// /// @@ -127,33 +118,42 @@ public sealed partial class EmbedContentBatch /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// + /// + /// 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. + /// + /// + /// Stats about the batch. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( string? displayName, global::Google.Gemini.InputEmbedContentConfig? inputConfig, + global::Google.Gemini.EmbedContentBatchState? state, string? name, - global::Google.Gemini.EmbedContentBatchOutput? output, - global::Google.Gemini.EmbedContentBatchStats? batchStats, - string? createTime, string? updateTime, - string? model, - global::Google.Gemini.EmbedContentBatchState? state, + string? createTime, string? endTime, - string? priority) + string? priority, + string? model, + global::Google.Gemini.EmbedContentBatchOutput? output, + global::Google.Gemini.EmbedContentBatchStats? batchStats) { this.DisplayName = displayName; this.InputConfig = inputConfig; + this.State = state; this.Name = name; - this.Output = output; - this.BatchStats = batchStats; - this.CreateTime = createTime; this.UpdateTime = updateTime; - this.Model = model; - this.State = state; + this.CreateTime = createTime; this.EndTime = endTime; this.Priority = priority; + this.Model = model; + this.Output = output; + this.BatchStats = batchStats; } /// 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 10fdeda0..811d2e62 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class EmbedContentBatchStats { /// - /// Output only. The number of requests that failed to be processed.
+ /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] + public string? SuccessfulRequestCount { get; set; } /// - /// Output only. The number of requests in the batch.
+ /// Output only. The number of requests that are still pending processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] - public string? RequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } /// - /// Output only. The number of requests that were successfully processed.
+ /// Output only. The number of requests in the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] - public string? SuccessfulRequestCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("requestCount")] + public string? RequestCount { get; set; } /// - /// Output only. The number of requests that are still pending processing.
+ /// Output only. The number of requests that 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,14 +45,6 @@ public sealed partial class EmbedContentBatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// - /// - /// Output only. The number of requests in the batch.
- /// Included only in responses - /// /// /// Output only. The number of requests that were successfully processed.
/// Included only in responses @@ -61,19 +53,27 @@ 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 in the batch.
+ /// Included only in responses + /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( - string? failedRequestCount, - string? requestCount, string? successfulRequestCount, - string? pendingRequestCount) + string? pendingRequestCount, + string? requestCount, + string? failedRequestCount) { - this.FailedRequestCount = failedRequestCount; - this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; this.PendingRequestCount = pendingRequestCount; + this.RequestCount = requestCount; + this.FailedRequestCount = failedRequestCount; } /// 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 8e0b0b81..ecf5f32c 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 @@ -9,17 +9,16 @@ namespace Google.Gemini public sealed partial class EmbedContentConfig { /// - /// Optional. The task type of the embedding. + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] - public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + public int? OutputDimensionality { get; set; } /// - /// Optional. Whether to enable OCR for document content. + /// Optional. The title for the text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("documentOcr")] - public bool? DocumentOcr { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// Optional. Whether to extract audio from video content. @@ -28,22 +27,23 @@ public sealed partial class EmbedContentConfig public bool? AudioTrackExtraction { get; set; } /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// Optional. The task type of the embedding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] + public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } /// - /// Optional. 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. The title for the text. + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. The task type of the embedding. + /// + /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - /// - /// Optional. Whether to enable OCR for document content. + /// + /// Optional. The title for the text. /// /// /// Optional. Whether to extract audio from video content. /// - /// - /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. + /// + /// Optional. The task type of the embedding. + /// + /// + /// Optional. Whether to enable OCR for document content. /// /// /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - /// - /// Optional. The title for the text. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( + int? outputDimensionality, + string? title, + bool? audioTrackExtraction, global::Google.Gemini.EmbedContentConfigTaskType? taskType, bool? documentOcr, - bool? audioTrackExtraction, - int? outputDimensionality, - bool? autoTruncate, - string? title) + bool? autoTruncate) { + this.OutputDimensionality = outputDimensionality; + this.Title = title; + this.AudioTrackExtraction = audioTrackExtraction; this.TaskType = taskType; this.DocumentOcr = documentOcr; - this.AudioTrackExtraction = audioTrackExtraction; - this.OutputDimensionality = outputDimensionality; this.AutoTruncate = autoTruncate; - this.Title = title; } /// 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 71f65b6d..b584fe0d 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 @@ -10,14 +10,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentRequest { - /// - /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } - /// /// Configurations for the EmbedContent request. /// @@ -37,11 +29,12 @@ public sealed partial class EmbedContentRequest public string? Model { get; set; } /// - /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). + /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] [global::System.Obsolete("This property marked as deprecated.")] - public int? OutputDimensionality { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } /// /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. @@ -50,6 +43,13 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public string? Title { 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 /// 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 ecd1c5d4..20f3b809 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 9b37be1c..9af6f777 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 @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ExecutableCode { - /// - /// Required. The code to be executed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("code")] - public string? Code { get; set; } - /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. The code to be executed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("code")] + public string? Code { get; set; } + /// /// Required. Programming language of the `code`. /// @@ -36,12 +36,12 @@ public sealed partial class ExecutableCode /// /// Initializes a new instance of the class. /// - /// - /// Required. The code to be executed. - /// /// /// Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`. /// + /// + /// Required. The code to be executed. + /// /// /// Required. Programming language of the `code`. /// @@ -49,12 +49,12 @@ public sealed partial class ExecutableCode [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ExecutableCode( - string? code, string? id, + string? code, global::Google.Gemini.ExecutableCodeLanguage? language) { - this.Code = code; this.Id = id; + this.Code = code; this.Language = language; } 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 e5cb2bb9..cb8ca0e0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class File { + /// + /// 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; } + /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses @@ -16,30 +23,38 @@ public sealed partial class File public string? CreateTime { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// 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 /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// - /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// Output only. The download uri of the `File`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// - /// Output only. Size of the file in bytes.
- /// Included only in responses + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + + /// + /// Source of the File. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] + public global::Google.Gemini.FileSource? Source { get; set; } /// /// Output only. The uri of the `File`.
@@ -48,6 +63,18 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("uri")] public string? Uri { get; set; } + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + /// /// Output only. Processing state of the File.
/// Included only in responses @@ -57,11 +84,11 @@ public sealed partial class File public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { 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). @@ -76,33 +103,6 @@ public sealed partial class File [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] public byte[]? Sha256Hash { get; set; } - /// - /// Source of the File. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter))] - public global::Google.Gemini.FileSource? Source { get; set; } - - /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } - - /// - /// Metadata for a video `File`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -112,34 +112,48 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// + /// + /// Output only. The timestamp of when the `File` was last updated.
+ /// Included only in responses + /// /// /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - /// - /// 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. MIME type of the file.
+ /// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// + /// + /// Metadata for a video `File`. + /// + /// + /// Source of the File. + /// /// /// Output only. The uri of the `File`.
/// Included only in responses /// + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// + /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" + /// /// /// Output only. Processing state of the File.
/// Included only in responses /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// /// @@ -149,53 +163,39 @@ public sealed partial class File /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - /// - /// Source of the File. - /// - /// - /// Output only. MIME type of the file.
- /// Included only in responses - /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
- /// Included only in responses - /// - /// - /// Metadata for a video `File`. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? createTime, string? updateTime, + string? createTime, + string? expirationTime, + string? mimeType, + string? downloadUri, + global::Google.Gemini.VideoFileMetadata? videoMetadata, + global::Google.Gemini.FileSource? source, + string? uri, string? name, string? displayName, - string? sizeBytes, - string? uri, global::Google.Gemini.FileState? state, - string? downloadUri, + string? sizeBytes, global::Google.Gemini.Status? error, - byte[]? sha256Hash, - global::Google.Gemini.FileSource? source, - string? mimeType, - string? expirationTime, - global::Google.Gemini.VideoFileMetadata? videoMetadata) + byte[]? sha256Hash) { - this.CreateTime = createTime; this.UpdateTime = updateTime; + this.CreateTime = createTime; + this.ExpirationTime = expirationTime; + this.MimeType = mimeType; + this.DownloadUri = downloadUri; + this.VideoMetadata = videoMetadata; + this.Source = source; + this.Uri = uri; this.Name = name; this.DisplayName = displayName; - this.SizeBytes = sizeBytes; - this.Uri = uri; this.State = state; - this.DownloadUri = downloadUri; + this.SizeBytes = sizeBytes; this.Error = error; this.Sha256Hash = sha256Hash; - this.Source = source; - this.MimeType = mimeType; - this.ExpirationTime = expirationTime; - this.VideoMetadata = videoMetadata; } /// 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 622cf6d6..0cb34874 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FileSearch { - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] public string? MetadataFilter { get; set; } + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// @@ -35,12 +35,12 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. - /// /// /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// + /// + /// Optional. The number of semantic retrieval chunks to retrieve. + /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// @@ -48,12 +48,12 @@ public sealed partial class FileSearch [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, string? metadataFilter, + int? topK, global::System.Collections.Generic.IList? fileSearchStoreNames) { - this.TopK = topK; this.MetadataFilter = metadataFilter; + this.TopK = topK; this.FileSearchStoreNames = fileSearchStoreNames; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearchStore.g.cs index 188f1c46..eb021ded 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 @@ -9,31 +9,32 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] - public string? EmbeddingModel { 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.
+ /// 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("activeDocumentsCount")] - public string? ActiveDocumentsCount { 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 number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// 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" @@ -42,32 +43,31 @@ public sealed partial class FileSearchStore public string? DisplayName { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
- /// Included only in responses + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("embeddingModel")] + public string? EmbeddingModel { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// 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("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -78,63 +78,63 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// + /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// 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 number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// + /// + /// Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used. + /// /// /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - /// - /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
- /// Included only in responses - /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? embeddingModel, - string? activeDocumentsCount, - string? sizeBytes, + string? updateTime, string? name, - string? displayName, - string? pendingDocumentsCount, string? failedDocumentsCount, string? createTime, - string? updateTime) + string? displayName, + string? embeddingModel, + string? pendingDocumentsCount, + string? sizeBytes, + string? activeDocumentsCount) { - this.EmbeddingModel = embeddingModel; - this.ActiveDocumentsCount = activeDocumentsCount; - this.SizeBytes = sizeBytes; + this.UpdateTime = updateTime; this.Name = name; - this.DisplayName = displayName; - this.PendingDocumentsCount = pendingDocumentsCount; this.FailedDocumentsCount = failedDocumentsCount; this.CreateTime = createTime; - this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.EmbeddingModel = embeddingModel; + this.PendingDocumentsCount = pendingDocumentsCount; + this.SizeBytes = sizeBytes; + this.ActiveDocumentsCount = activeDocumentsCount; } /// 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 245e16c4..f039747f 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// @@ -20,12 +26,6 @@ public sealed partial class FunctionCall [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class FunctionCall /// /// Initializes a new instance of the class. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// /// /// Optional. The function parameters and values in JSON object format. /// - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( + string? name, string? id, - object? args, - string? name) + object? args) { + this.Name = name; this.Id = id; this.Args = args; - this.Name = name; } /// 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 8bac52b3..4cb17689 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class FunctionDeclaration { + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } + /// /// 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). /// @@ -15,16 +21,17 @@ public sealed partial class FunctionDeclaration 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`. + /// Required. A brief description of the function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] - public object? ParametersJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("behavior")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] + public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { 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. @@ -33,23 +40,16 @@ public sealed partial class FunctionDeclaration public string? Name { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } - - /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// 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("behavior")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] - public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] + public object? ParametersJsonSchema { get; set; } /// - /// Required. A brief description of the function. + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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. /// + /// + /// 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). + /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + /// Required. 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`. + /// + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// /// /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// + /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// - /// - /// Required. A brief description of the function. + /// + /// 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`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - global::Google.Gemini.Schema? response, - object? responseJsonSchema, - object? parametersJsonSchema, - string? name, global::Google.Gemini.Schema? parameters, + global::Google.Gemini.Schema? response, + string? description, global::Google.Gemini.FunctionDeclarationBehavior? behavior, - string? description) + string? name, + object? parametersJsonSchema, + object? responseJsonSchema) { - this.Response = response; - this.ResponseJsonSchema = responseJsonSchema; - this.ParametersJsonSchema = parametersJsonSchema; - this.Name = name; this.Parameters = parameters; - this.Behavior = behavior; + this.Response = response; this.Description = description; + this.Behavior = behavior; + this.Name = name; + this.ParametersJsonSchema = parametersJsonSchema; + this.ResponseJsonSchema = responseJsonSchema; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index e4d21740..bface502 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 @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class FunctionResponse { - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } - /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// @@ -27,10 +15,10 @@ public sealed partial class FunctionResponse public string? Id { get; set; } /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. @@ -40,10 +28,22 @@ public sealed partial class FunctionResponse public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { get; set; } + + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// + /// + /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. + /// + /// + /// 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. Multimedia can be included by using a subobject containing a single "$ref" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal. /// /// /// Optional. 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. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. - /// /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - /// - /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. - /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( - object? response, - bool? willContinue, string? id, - string? name, + global::System.Collections.Generic.IList? parts, global::Google.Gemini.FunctionResponseScheduling? scheduling, - global::System.Collections.Generic.IList? parts) + object? response, + bool? willContinue, + string? name) { + this.Id = id; + this.Parts = parts; + this.Scheduling = scheduling; this.Response = response; this.WillContinue = willContinue; - this.Id = id; this.Name = name; - this.Scheduling = scheduling; - this.Parts = parts; } /// 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 de617a0d..16da0f84 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponseBlob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionResponseBlob { - /// - /// Raw bytes for media formats. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("data")] - public byte[]? Data { get; set; } - /// /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Raw bytes for media formats. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("data")] + public byte[]? Data { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class FunctionResponseBlob /// /// Initializes a new instance of the class. /// - /// - /// Raw bytes for media formats. - /// /// /// The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats). /// + /// + /// Raw bytes for media formats. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponseBlob( - byte[]? data, - string? mimeType) + string? mimeType, + byte[]? data) { - this.Data = data; this.MimeType = mimeType; + this.Data = data; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentBatch.g.cs index d7f99890..01e2d5c9 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 @@ -9,31 +9,32 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// 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 processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// /// Required. The user-defined name of this batch. @@ -48,11 +49,18 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. @@ -67,18 +75,10 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [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 GenerateContentBatch /// /// Initializes a new instance of the class. /// - /// - /// 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 state of the batch.
+ /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses + /// + /// + /// Output only. The time at which the batch was created.
/// Included only in responses /// /// /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// /// /// Required. The user-defined name of this batch. /// /// /// Configures the input to the batch request. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// + /// 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}`. + /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// /// /// Stats about the batch. /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? model, - global::Google.Gemini.GenerateContentBatchState? state, + string? name, + string? updateTime, + string? createTime, string? endTime, - string? priority, string? displayName, global::Google.Gemini.InputConfig? inputConfig, - string? name, + global::Google.Gemini.GenerateContentBatchState? state, + string? model, global::Google.Gemini.GenerateContentBatchOutput? output, global::Google.Gemini.BatchStats? batchStats, - string? createTime, - string? updateTime) + string? priority) { - this.Model = model; - this.State = state; + this.Name = name; + this.UpdateTime = updateTime; + this.CreateTime = createTime; this.EndTime = endTime; - this.Priority = priority; this.DisplayName = displayName; this.InputConfig = inputConfig; - this.Name = name; + this.State = state; + this.Model = model; this.Output = output; this.BatchStats = batchStats; - this.CreateTime = createTime; - this.UpdateTime = updateTime; + this.Priority = priority; } /// 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 a806717b..5794fcc5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class GenerateContentRequest { /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// 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 Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. @@ -27,29 +21,29 @@ public sealed partial class GenerateContentRequest public bool? Store { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. The service tier of the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("safetySettings")] - public global::System.Collections.Generic.IList? SafetySettings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. The service tier of the request. + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [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("model")] + public string? Model { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Optional. A list of 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("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] + public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` @@ -58,10 +52,10 @@ public sealed partial class GenerateContentRequest public string? CachedContent { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. @@ -69,6 +63,12 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{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. + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// + /// + /// Optional. The service tier of the request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// 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. /// - /// - /// 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. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// 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. /// /// /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - string? model, - global::System.Collections.Generic.IList? tools, + global::Google.Gemini.ToolConfig? toolConfig, bool? store, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, global::Google.Gemini.Content? systemInstruction, + string? model, global::System.Collections.Generic.IList? safetySettings, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::System.Collections.Generic.IList? contents, string? cachedContent, - global::Google.Gemini.ToolConfig? toolConfig, - global::Google.Gemini.GenerationConfig? generationConfig) + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.GenerationConfig? generationConfig, + global::System.Collections.Generic.IList? tools) { - this.Model = model; - this.Tools = tools; + this.ToolConfig = toolConfig; this.Store = store; + this.ServiceTier = serviceTier; this.SystemInstruction = systemInstruction; + this.Model = model; this.SafetySettings = safetySettings; - this.ServiceTier = serviceTier; - this.Contents = contents; this.CachedContent = cachedContent; - this.ToolConfig = toolConfig; + this.Contents = contents; this.GenerationConfig = generationConfig; + this.Tools = tools; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs index 70a57ed0..ebd92ca2 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 @@ -8,6 +8,12 @@ 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; } + /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// @@ -15,10 +21,10 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// Metadata on the generation request's token usage. + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// /// Output only. response_id is used to identify each response.
@@ -34,12 +40,6 @@ public sealed partial class GenerateContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] public string? ModelVersion { get; set; } - /// - /// Candidate responses from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { 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. /// @@ -55,11 +55,14 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// + /// + /// Metadata on the generation request's token usage. + /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// Metadata on the generation request's token usage. + /// + /// Candidate responses from the model. /// /// /// Output only. response_id is used to identify each response.
@@ -69,9 +72,6 @@ public sealed partial class GenerateContentResponse /// Output only. The model version used to generate the response.
/// Included only in responses /// - /// - /// Candidate responses from the model. - /// /// /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// @@ -79,18 +79,18 @@ public sealed partial class GenerateContentResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::Google.Gemini.PromptFeedback? promptFeedback, global::Google.Gemini.UsageMetadata? usageMetadata, + global::Google.Gemini.PromptFeedback? promptFeedback, + global::System.Collections.Generic.IList? candidates, string? responseId, string? modelVersion, - global::System.Collections.Generic.IList? candidates, global::Google.Gemini.ModelStatus? modelStatus) { - this.PromptFeedback = promptFeedback; this.UsageMetadata = usageMetadata; + this.PromptFeedback = promptFeedback; + this.Candidates = candidates; this.ResponseId = responseId; this.ModelVersion = modelVersion; - this.Candidates = candidates; this.ModelStatus = modelStatus; } 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 e4193d2c..1ceebc03 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs @@ -15,10 +15,11 @@ public sealed partial class GenerationConfig public float? PresencePenalty { get; set; } /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { 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. If true, export the logprobs results in response. @@ -27,22 +28,22 @@ public sealed partial class GenerationConfig public bool? ResponseLogprobs { 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. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Config for translation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] + public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// /// Config for thinking features. @@ -51,53 +52,52 @@ public sealed partial class GenerationConfig public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Config for translation features. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("translationConfig")] - public global::Google.Gemini.TranslationConfig? TranslationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { 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]. + /// 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - [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("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. 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("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. + /// Optional. 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("responseFormat")] - public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Optional. 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("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] + public int? CandidateCount { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. 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. + /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseFormat")] + public global::Google.Gemini.ResponseFormatConfig? ResponseFormat { get; set; } /// /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. @@ -106,40 +106,40 @@ public sealed partial class GenerationConfig public float? TopP { get; set; } /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// Optional. 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("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// 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("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] + public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Optional. 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. 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("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -153,118 +153,118 @@ public sealed partial class GenerationConfig /// /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// Optional. If specified, the media resolution specified will be used. /// /// /// Optional. If true, export the logprobs results in response. /// - /// - /// 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. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Config for translation features. /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// /// /// Config for thinking features. /// - /// - /// Config for translation features. + /// + /// Config for speech generation and transcription. + /// + /// + /// 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. 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. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - /// - /// Optional. If specified, the media resolution specified will be used. + /// + /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. 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]. /// /// /// Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality. /// + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// /// /// Optional. 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. /// /// /// 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. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. - /// - /// - /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. + /// + /// Optional. 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. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// Config for image generation 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. Enables enhanced civic answers. It may not be available for all models. - /// - /// - /// 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? presencePenalty, - float? frequencyPenalty, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, bool? responseLogprobs, - global::Google.Gemini.ImageConfig? imageConfig, - int? topK, - global::Google.Gemini.SpeechConfig? speechConfig, - global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::System.Collections.Generic.IList? responseModalities, global::Google.Gemini.TranslationConfig? translationConfig, - float? temperature, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + int? seed, + global::Google.Gemini.ThinkingConfig? thinkingConfig, + global::Google.Gemini.SpeechConfig? speechConfig, int? maxOutputTokens, + string? responseMimeType, + int? topK, + float? temperature, + int? candidateCount, + int? logprobs, global::Google.Gemini.ResponseFormatConfig? responseFormat, + float? topP, global::System.Collections.Generic.IList? stopSequences, global::Google.Gemini.Schema? responseSchema, - string? responseMimeType, - float? topP, - global::System.Collections.Generic.IList? responseModalities, - int? seed, - object? responseJsonSchema, - int? candidateCount, bool? enableEnhancedCivicAnswers, - int? logprobs) + float? frequencyPenalty, + global::Google.Gemini.ImageConfig? imageConfig, + object? responseJsonSchema) { this.PresencePenalty = presencePenalty; - this.FrequencyPenalty = frequencyPenalty; + this.MediaResolution = mediaResolution; this.ResponseLogprobs = responseLogprobs; - this.ImageConfig = imageConfig; - this.TopK = topK; - this.SpeechConfig = speechConfig; - this.ThinkingConfig = thinkingConfig; + this.ResponseModalities = responseModalities; this.TranslationConfig = translationConfig; - this.Temperature = temperature; - this.MediaResolution = mediaResolution; + this.Seed = seed; + this.ThinkingConfig = thinkingConfig; + this.SpeechConfig = speechConfig; this.MaxOutputTokens = maxOutputTokens; + this.ResponseMimeType = responseMimeType; + this.TopK = topK; + this.Temperature = temperature; + this.CandidateCount = candidateCount; + this.Logprobs = logprobs; this.ResponseFormat = responseFormat; + this.TopP = topP; this.StopSequences = stopSequences; this.ResponseSchema = responseSchema; - this.ResponseMimeType = responseMimeType; - this.TopP = topP; - this.ResponseModalities = responseModalities; - this.Seed = seed; - this.ResponseJsonSchema = responseJsonSchema; - this.CandidateCount = candidateCount; this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.Logprobs = logprobs; + this.FrequencyPenalty = frequencyPenalty; + this.ImageConfig = imageConfig; + this.ResponseJsonSchema = responseJsonSchema; } /// 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 da37cfc2..1fd716a3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { - /// - /// 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; } - - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] - public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } - /// /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses @@ -33,6 +21,18 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("segment")] public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunkIndices")] + public global::System.Collections.Generic.IList? GroundingChunkIndices { get; set; } + + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] + public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -42,12 +42,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// - /// - /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). - /// - /// - /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. - /// /// /// 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 @@ -55,19 +49,25 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Segment of the content. /// + /// + /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). + /// + /// + /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? groundingChunkIndices, - global::System.Collections.Generic.IList? confidenceScores, global::System.Collections.Generic.IList? renderedParts, - global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment) + global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, + global::System.Collections.Generic.IList? groundingChunkIndices, + global::System.Collections.Generic.IList? confidenceScores) { - this.GroundingChunkIndices = groundingChunkIndices; - this.ConfidenceScores = confidenceScores; this.RenderedParts = renderedParts; this.Segment = segment; + this.GroundingChunkIndices = groundingChunkIndices; + this.ConfidenceScores = confidenceScores; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index eb519ebe..8b47919b 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaSegment { /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] - public int? StartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } /// /// The index of a Part object within its parent Content object. @@ -20,18 +20,18 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { get; set; } - /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - /// /// The text corresponding to the segment from the response. /// [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { 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. /// - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// /// /// The index of a Part object within its parent Content object. /// - /// - /// 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. /// + /// + /// 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? startIndex, - int? partIndex, int? endIndex, - string? text) + int? partIndex, + string? text, + int? startIndex) { - this.StartIndex = startIndex; - this.PartIndex = partIndex; this.EndIndex = endIndex; + this.PartIndex = partIndex; this.Text = text; + this.StartIndex = startIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs index 74828ec0..72c07004 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleSearch.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GoogleSearch { - /// - /// Different types of search that can be enabled on the GoogleSearch tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] - public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } - /// /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. /// [global::System.Text.Json.Serialization.JsonPropertyName("timeRangeFilter")] public global::Google.Gemini.Interval? TimeRangeFilter { get; set; } + /// + /// Different types of search that can be enabled on the GoogleSearch tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchTypes")] + public global::Google.Gemini.SearchTypes? SearchTypes { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GoogleSearch /// /// Initializes a new instance of the class. /// - /// - /// Different types of search that can be enabled on the GoogleSearch tool. - /// /// /// Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time. /// + /// + /// Different types of search that can be enabled on the GoogleSearch tool. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleSearch( - global::Google.Gemini.SearchTypes? searchTypes, - global::Google.Gemini.Interval? timeRangeFilter) + global::Google.Gemini.Interval? timeRangeFilter, + global::Google.Gemini.SearchTypes? searchTypes) { - this.SearchTypes = searchTypes; this.TimeRangeFilter = timeRangeFilter; + this.SearchTypes = searchTypes; } /// 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 0abad587..a5794789 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -20,18 +20,18 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("web")] public global::Google.Gemini.Web? Web { get; set; } - /// - /// Chunk from image search. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } - /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// [global::System.Text.Json.Serialization.JsonPropertyName("maps")] public global::Google.Gemini.Maps? Maps { get; set; } + /// + /// Chunk from image search. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,25 +47,25 @@ public sealed partial class GroundingChunk /// /// Chunk from the web. /// - /// - /// Chunk from image search. - /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// + /// + /// Chunk from image search. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( global::Google.Gemini.RetrievedContext? retrievedContext, global::Google.Gemini.Web? web, - global::Google.Gemini.Image? image, - global::Google.Gemini.Maps? maps) + global::Google.Gemini.Maps? maps, + global::Google.Gemini.Image? image) { this.RetrievedContext = retrievedContext; this.Web = web; - this.Image = image; this.Maps = maps; + this.Image = image; } /// 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 16bdb10a..b6243540 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 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingChunkCustomMetadata { - /// - /// A list of string values. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } - /// /// Optional. The string value of the metadata. /// [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] public string? StringValue { get; set; } + /// + /// A list of string values. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.GroundingChunkStringList? StringListValue { get; set; } + /// /// Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used. /// @@ -41,12 +41,12 @@ public sealed partial class GroundingChunkCustomMetadata /// /// Initializes a new instance of the class. /// - /// - /// A list of string values. - /// /// /// Optional. The string value 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. /// @@ -57,13 +57,13 @@ public sealed partial class GroundingChunkCustomMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunkCustomMetadata( - global::Google.Gemini.GroundingChunkStringList? stringListValue, string? stringValue, + global::Google.Gemini.GroundingChunkStringList? stringListValue, float? numericValue, string? key) { - this.StringListValue = stringListValue; this.StringValue = stringValue; + this.StringListValue = stringListValue; this.NumericValue = numericValue; this.Key = key; } 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 645a2d7f..4b048590 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -8,12 +8,30 @@ namespace Google.Gemini /// public sealed partial class GroundingMetadata { + /// + /// Image search queries used for grounding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { 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; } + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } + /// /// List of grounding support. /// @@ -26,30 +44,12 @@ 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; } - - /// - /// 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; } - /// /// Google search entry point. /// [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { 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. /// + /// + /// Image search queries used for grounding. + /// + /// + /// 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. /// + /// + /// 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. /// /// /// Metadata related to retrieval in the grounding flow. /// - /// - /// Image search queries used for grounding. - /// - /// - /// Web search queries for the following-up web search. - /// /// /// Google search entry point. /// - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( + global::System.Collections.Generic.IList? imageSearchQueries, + global::System.Collections.Generic.IList? webSearchQueries, global::System.Collections.Generic.IList? groundingChunks, + string? googleMapsWidgetContextToken, global::System.Collections.Generic.IList? groundingSupports, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, - global::System.Collections.Generic.IList? imageSearchQueries, - global::System.Collections.Generic.IList? webSearchQueries, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - string? googleMapsWidgetContextToken) + global::Google.Gemini.SearchEntryPoint? searchEntryPoint) { + this.ImageSearchQueries = imageSearchQueries; + this.WebSearchQueries = webSearchQueries; this.GroundingChunks = groundingChunks; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; this.GroundingSupports = groundingSupports; this.RetrievalMetadata = retrievalMetadata; - this.ImageSearchQueries = imageSearchQueries; - this.WebSearchQueries = webSearchQueries; this.SearchEntryPoint = searchEntryPoint; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; } /// 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 48efee39..394e5c8c 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Hyperparameters { /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] + public int? BatchSize { get; set; } /// /// 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. @@ -27,10 +27,10 @@ public sealed partial class Hyperparameters public int? EpochCount { get; set; } /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// 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; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// /// /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. - /// /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( + float? learningRateMultiplier, int? batchSize, - float? learningRate, int? epochCount, - float? learningRateMultiplier) + float? learningRate) { + this.LearningRateMultiplier = learningRateMultiplier; this.BatchSize = batchSize; - this.LearningRate = learningRate; this.EpochCount = epochCount; - this.LearningRateMultiplier = learningRateMultiplier; + this.LearningRate = learningRate; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs index 84f97862..9cc66053 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Image { /// - /// The title of the web page that the image is from. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - - /// - /// The root domain of the web page that the image is from, e.g. "example.com". + /// The image asset URL. /// - [global::System.Text.Json.Serialization.JsonPropertyName("domain")] - public string? Domain { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] + public string? ImageUri { get; set; } /// /// The web page URI for attribution. @@ -27,10 +21,16 @@ public sealed partial class Image public string? SourceUri { get; set; } /// - /// The image asset URL. + /// The title of the web page that the image is from. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] - public string? ImageUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + + /// + /// The root domain of the web page that the image is from, e.g. "example.com". + /// + [global::System.Text.Json.Serialization.JsonPropertyName("domain")] + public string? Domain { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Image /// /// Initializes a new instance of the class. /// + /// + /// The image asset URL. + /// + /// + /// The web page URI for attribution. + /// /// /// The title of the web page that the image is from. /// /// /// The root domain of the web page that the image is from, e.g. "example.com". /// - /// - /// The web page URI for attribution. - /// - /// - /// The image asset URL. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? title, - string? domain, + string? imageUri, string? sourceUri, - string? imageUri) + string? title, + string? domain) { + this.ImageUri = imageUri; + this.SourceUri = sourceUri; this.Title = title; this.Domain = domain; - this.SourceUri = sourceUri; - this.ImageUri = imageUri; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs index b21e1c7b..b447a568 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageResponseFormat.g.cs @@ -9,11 +9,11 @@ namespace Google.Gemini public sealed partial class ImageResponseFormat { /// - /// Optional. The MIME type of the image output. + /// Optional. The aspect ratio for the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter))] - public global::Google.Gemini.ImageResponseFormatMimeType? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter))] + public global::Google.Gemini.ImageResponseFormatAspectRatio? AspectRatio { get; set; } /// /// Optional. The size of the image output. @@ -30,11 +30,11 @@ public sealed partial class ImageResponseFormat public global::Google.Gemini.ImageResponseFormatDelivery? Delivery { get; set; } /// - /// Optional. The aspect ratio for the image output. + /// Optional. The MIME type of the image output. /// - [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatAspectRatioJsonConverter))] - public global::Google.Gemini.ImageResponseFormatAspectRatio? AspectRatio { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ImageResponseFormatMimeTypeJsonConverter))] + public global::Google.Gemini.ImageResponseFormatMimeType? MimeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,8 +45,8 @@ public sealed partial class ImageResponseFormat /// /// Initializes a new instance of the class. /// - /// - /// Optional. The MIME type of the image output. + /// + /// Optional. The aspect ratio for the image output. /// /// /// Optional. The size of the image output. @@ -54,22 +54,22 @@ public sealed partial class ImageResponseFormat /// /// Optional. The delivery mode for the image output. /// - /// - /// Optional. The aspect ratio for the image output. + /// + /// Optional. The MIME type of the image output. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageResponseFormat( - global::Google.Gemini.ImageResponseFormatMimeType? mimeType, + global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio, global::Google.Gemini.ImageResponseFormatImageSize? imageSize, global::Google.Gemini.ImageResponseFormatDelivery? delivery, - global::Google.Gemini.ImageResponseFormatAspectRatio? aspectRatio) + global::Google.Gemini.ImageResponseFormatMimeType? mimeType) { - this.MimeType = mimeType; + this.AspectRatio = aspectRatio; this.ImageSize = imageSize; this.Delivery = delivery; - this.AspectRatio = aspectRatio; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 4f2df00f..963b5b19 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ImportFileRequest { + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Custom metadata to be associated with the file. /// @@ -20,12 +26,6 @@ public sealed partial class ImportFileRequest [global::System.Text.Json.Serialization.JsonPropertyName("chunkingConfig")] public global::Google.Gemini.ChunkingConfig? ChunkingConfig { get; set; } - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// - [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` + /// /// /// 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::System.Collections.Generic.IList? customMetadata, - global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? fileName) + global::Google.Gemini.ChunkingConfig? chunkingConfig) { + this.FileName = fileName; this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; - this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs index 0624bf17..f68fe348 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedRequest { - /// - /// Optional. The metadata to be associated with the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Request to generate a completion from the model. /// [global::System.Text.Json.Serialization.JsonPropertyName("request")] public global::Google.Gemini.GenerateContentRequest? Request { get; set; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request to generate a completion from the model. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedRequest( - object? metadata, - global::Google.Gemini.GenerateContentRequest? request) + global::Google.Gemini.GenerateContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs index 291135b2..1eefda6a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedResponse.g.cs @@ -8,12 +8,6 @@ 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`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.GenerateContentResponse? Response { get; set; } - /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -27,6 +21,12 @@ public sealed partial class InlinedResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.GenerateContentResponse? Response { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,9 +36,6 @@ 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`. - /// /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -46,17 +43,20 @@ public sealed partial class InlinedResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// + /// + /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( - global::Google.Gemini.GenerateContentResponse? response, object? metadata, - global::Google.Gemini.Status? error) + global::Google.Gemini.Status? error, + global::Google.Gemini.GenerateContentResponse? response) { - this.Response = response; this.Metadata = metadata; this.Error = error; + this.Response = response; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index 3d0f91ff..736a29fe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The name of the `File` containing the input requests. - /// /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - string? fileName, - global::Google.Gemini.InlinedRequests? requests) + global::Google.Gemini.InlinedRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index afe10fd0..5ce34e69 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] public string? StartTime { get; set; } + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. - /// /// /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. /// + /// + /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? endTime, - string? startTime) + string? startTime, + string? endTime) { - this.EndTime = endTime; this.StartTime = startTime; + this.EndTime = endTime; } /// 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 06dc9344..6dfb4ee0 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.ListCorporaResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs index 7bff6270..6a5dbdc2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCorporaResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCorporaResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned corpora. /// [global::System.Text.Json.Serialization.JsonPropertyName("corpora")] public global::System.Collections.Generic.IList? Corpora { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCorporaResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned corpora. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCorporaResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? corpora) + global::System.Collections.Generic.IList? corpora, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Corpora = corpora; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index af0c7343..965fc58d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// The returned rag_stores. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] - public global::System.Collections.Generic.IList? FileSearchStores { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned rag_stores. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] + public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFileSearchStoresResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned rag_stores. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned rag_stores. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - global::System.Collections.Generic.IList? fileSearchStores, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? fileSearchStores) { - this.FileSearchStores = fileSearchStores; this.NextPageToken = nextPageToken; + this.FileSearchStores = fileSearchStores; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index 9f0d9512..b6386440 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -14,18 +14,18 @@ public sealed partial class ListOperationsResponse [global::System.Text.Json.Serialization.JsonPropertyName("operations")] public global::System.Collections.Generic.IList? Operations { get; set; } - /// - /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] - public global::System.Collections.Generic.IList? Unreachable { get; set; } - /// /// The standard List next-page token. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("unreachable")] + public global::System.Collections.Generic.IList? Unreachable { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ListOperationsResponse /// /// A list of operations that matches the specified filter in the request. /// - /// - /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. - /// /// /// The standard List next-page token. /// + /// + /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( global::System.Collections.Generic.IList? operations, - global::System.Collections.Generic.IList? unreachable, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? unreachable) { this.Operations = operations; - this.Unreachable = unreachable; this.NextPageToken = nextPageToken; + this.Unreachable = unreachable; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index ef37df84..8befbd8f 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] - public global::System.Collections.Generic.IList? TopCandidates { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topCandidates")] + public global::System.Collections.Generic.IList? TopCandidates { get; set; } + /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Length = total number of decoding steps. - /// /// /// Sum of log probabilities for all tokens. /// + /// + /// Length = total number of decoding steps. + /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - global::System.Collections.Generic.IList? topCandidates, float? logProbabilitySum, + global::System.Collections.Generic.IList? topCandidates, global::System.Collections.Generic.IList? chosenCandidates) { - this.TopCandidates = topCandidates; this.LogProbabilitySum = logProbabilitySum; + this.TopCandidates = topCandidates; this.ChosenCandidates = chosenCandidates; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index f52a493c..6154061d 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 @@ -14,18 +14,18 @@ public sealed partial class LogprobsResultCandidate [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] public int? TokenId { get; set; } - /// - /// The candidate’s token string value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("token")] - public string? Token { get; set; } - /// /// The candidate's 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResultCandidate /// /// The candidate’s token id value. /// - /// - /// The candidate’s token string value. - /// /// /// The candidate's log probability. /// + /// + /// The candidate’s token string value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( int? tokenId, - string? token, - float? logProbability) + float? logProbability, + string? token) { this.TokenId = tokenId; - this.Token = token; this.LogProbability = logProbability; + this.Token = token; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index a465daf6..dd4698f7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Maps { /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// Text description of the place answer. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// URI reference of the place. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. @@ -27,16 +27,16 @@ public sealed partial class Maps public string? PlaceId { get; set; } /// - /// Title of the place. + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// - /// Text description of the place answer. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { 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. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + /// Text description of the place answer. /// - /// - /// URI reference of the place. + /// + /// Title of the place. /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// Title of the place. + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - /// - /// Text description of the place answer. + /// + /// URI reference of the place. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? uri, - string? placeId, + string? text, string? title, - string? text) + string? placeId, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, + string? uri) { + this.Text = text; + this.Title = title; + this.PlaceId = placeId; this.PlaceAnswerSources = placeAnswerSources; this.Uri = uri; - this.PlaceId = placeId; - this.Title = title; - this.Text = text; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index d5bff801..6a90f2cd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// The modality associated with this token count. /// @@ -15,12 +21,6 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// The modality associated with this token count. - /// /// /// Number of tokens. /// + /// + /// The modality associated with this token count. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - global::Google.Gemini.ModalityTokenCountModality? modality, - int? tokenCount) + int? tokenCount, + global::Google.Gemini.ModalityTokenCountModality? modality) { - this.Modality = modality; this.TokenCount = tokenCount; + this.Modality = modality; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index a2b1002d..c1c30ec7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,28 +9,28 @@ namespace Google.Gemini public sealed partial class Model { /// - /// A short description of the model. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// - /// The maximum temperature this model can use. + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. @@ -39,28 +39,16 @@ public sealed partial class Model public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } - - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) - /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } - - /// - /// 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. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { 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` + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { 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. @@ -69,16 +57,16 @@ public sealed partial class Model public int? TopK { get; set; } /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// 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("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Maximum number of output tokens available for this 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` /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Whether the model supports thinking. @@ -86,6 +74,18 @@ public sealed partial class Model [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] public bool? Thinking { 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; } + + /// + /// The maximum temperature this model can use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -95,76 +95,76 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// A short description of the model. - /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// The maximum temperature this model can use. - /// /// /// Maximum number of input tokens allowed for this model. /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// - /// - /// 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 name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// /// /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// - /// - /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// + /// Maximum number of output tokens available for this 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` + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// + /// A short description of the model. + /// + /// + /// 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. /// /// /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` + /// + /// 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. + /// + /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// /// /// Whether the model supports thinking. /// + /// + /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. + /// + /// + /// The maximum temperature this model can use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - string? description, - float? topP, - float? maxTemperature, int? inputTokenLimit, + string? baseModelId, + string? version, + int? outputTokenLimit, global::System.Collections.Generic.IList? supportedGenerationMethods, + string? description, + float? topP, + int? topK, float? temperature, - string? version, - string? displayName, string? name, - int? topK, - string? baseModelId, - int? outputTokenLimit, - bool? thinking) + bool? thinking, + string? displayName, + float? maxTemperature) { - this.Description = description; - this.TopP = topP; - this.MaxTemperature = maxTemperature; this.InputTokenLimit = inputTokenLimit; + this.BaseModelId = baseModelId; + this.Version = version; + this.OutputTokenLimit = outputTokenLimit; this.SupportedGenerationMethods = supportedGenerationMethods; + this.Description = description; + this.TopP = topP; + this.TopK = topK; this.Temperature = temperature; - this.Version = version; - this.DisplayName = displayName; this.Name = name; - this.TopK = topK; - this.BaseModelId = baseModelId; - this.OutputTokenLimit = outputTokenLimit; this.Thinking = thinking; + this.DisplayName = displayName; + this.MaxTemperature = maxTemperature; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index 75612d76..d5fc3303 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. /// @@ -15,12 +21,6 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } - /// - /// The time at which the model will be retired. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] - public string? RetirementTime { get; set; } - /// /// A message explaining the model status. /// @@ -36,12 +36,12 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// The stage of the underlying model. - /// /// /// The time at which the model will be retired. /// + /// + /// The stage of the underlying model. + /// /// /// A message explaining the model status. /// @@ -49,12 +49,12 @@ public sealed partial class ModelStatus [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - global::Google.Gemini.ModelStatusModelStage? modelStage, string? retirementTime, + global::Google.Gemini.ModelStatusModelStage? modelStage, string? message) { - this.ModelStage = modelStage; this.RetirementTime = retirementTime; + this.ModelStage = modelStage; this.Message = message; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index be129cef..1ad8351b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// The `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; } /// /// 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 Operation 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. + /// 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("done")] - public bool? Done { get; set; } + [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). + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,8 +47,8 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. @@ -56,27 +56,27 @@ public sealed partial class Operation /// /// 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 `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, + global::Google.Gemini.Status? error, object? response, string? name, - bool? done, - global::Google.Gemini.Status? error) + object? metadata, + bool? done) { - this.Metadata = metadata; + this.Error = error; this.Response = response; this.Name = name; + this.Metadata = metadata; this.Done = done; - 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 e54e1038..d73e754b 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 @@ -23,28 +23,22 @@ public sealed partial class Part public byte[]? ThoughtSignature { get; set; } /// - /// Optional. Indicates if the part is thought from the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } - - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { 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. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } /// - /// Inline text. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { 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. @@ -53,35 +47,35 @@ public sealed partial class Part public global::Google.Gemini.FunctionResponse? FunctionResponse { 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`. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// 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("videoMetadata")] - [global::System.Obsolete("This property marked as deprecated.")] - public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { get; set; } /// - /// URI based data. + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. @@ -89,6 +83,12 @@ public sealed partial class Part [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`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -104,65 +104,65 @@ public sealed partial class Part /// /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// + /// URI based data. + /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. - /// - /// - /// 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. /// /// /// Inline text. /// - /// - /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. /// /// /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. - /// - /// - /// URI based data. - /// /// /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// + /// + /// 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`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( global::Google.Gemini.ExecutableCode? executableCode, byte[]? thoughtSignature, + global::Google.Gemini.Blob? inlineData, + global::Google.Gemini.FileData? fileData, bool? thought, + global::Google.Gemini.FunctionResponse? functionResponse, + string? text, global::Google.Gemini.FunctionCall? functionCall, object? partMetadata, - string? text, - global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.ToolResponse? toolResponse, global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.Blob? inlineData, - global::Google.Gemini.FileData? fileData, - global::Google.Gemini.ToolCall? toolCall) + global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.ToolResponse? toolResponse) { this.ExecutableCode = executableCode; this.ThoughtSignature = thoughtSignature; + this.InlineData = inlineData; + this.FileData = fileData; this.Thought = thought; + this.FunctionResponse = functionResponse; + this.Text = text; this.FunctionCall = functionCall; this.PartMetadata = partMetadata; - this.Text = text; - this.FunctionResponse = functionResponse; - this.ToolResponse = toolResponse; this.CodeExecutionResult = codeExecutionResult; - this.InlineData = inlineData; - this.FileData = fileData; this.ToolCall = toolCall; + this.ToolResponse = toolResponse; } /// 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 a1040a1e..1d16780a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -15,13 +15,6 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter))] public global::Google.Gemini.PermissionRole? Role { get; set; } - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. Immutable. The type of the grantee. /// @@ -35,6 +28,13 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] public string? EmailAddress { 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 /// @@ -47,29 +47,29 @@ 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 - /// /// /// Optional. Immutable. The type of the grantee. /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// 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( global::Google.Gemini.PermissionRole? role, - string? name, global::Google.Gemini.PermissionGranteeType? granteeType, - string? emailAddress) + string? emailAddress, + string? name) { this.Role = role; - this.Name = name; this.GranteeType = granteeType; this.EmailAddress = emailAddress; + 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 08e93e4a..fccaca72 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.ResponseFormatConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs index cb73b58e..7fd83425 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ResponseFormatConfig.g.cs @@ -14,18 +14,18 @@ public sealed partial class ResponseFormatConfig [global::System.Text.Json.Serialization.JsonPropertyName("text")] public global::Google.Gemini.TextResponseFormat? Text { get; set; } - /// - /// Configuration for audio output format. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("audio")] - public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } - /// /// Configuration for image output format. /// [global::System.Text.Json.Serialization.JsonPropertyName("image")] public global::Google.Gemini.ImageResponseFormat? Image { get; set; } + /// + /// Configuration for audio output format. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("audio")] + public global::Google.Gemini.AudioResponseFormat? Audio { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ResponseFormatConfig /// /// Configuration for text output format. /// - /// - /// Configuration for audio output format. - /// /// /// Configuration for image output format. /// + /// + /// Configuration for audio output format. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ResponseFormatConfig( global::Google.Gemini.TextResponseFormat? text, - global::Google.Gemini.AudioResponseFormat? audio, - global::Google.Gemini.ImageResponseFormat? image) + global::Google.Gemini.ImageResponseFormat? image, + global::Google.Gemini.AudioResponseFormat? audio) { this.Text = text; - this.Audio = audio; this.Image = image; + this.Audio = audio; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index b613867a..9ac87a15 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 @@ -21,34 +21,34 @@ public sealed partial class RetrievedContext public int? PageNumber { get; set; } /// - /// Optional. Title of the document. + /// 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("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] + public string? MediaId { get; set; } /// - /// Optional. Text of the chunk. + /// Optional. URI reference of the semantic retrieval document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. Title of the document. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. URI reference of the semantic retrieval document. + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [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} + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaId")] - public string? MediaId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -65,20 +65,20 @@ public sealed partial class RetrievedContext /// /// Optional. Page number of the retrieved context, if applicable. /// + /// + /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// + /// + /// Optional. URI reference of the semantic retrieval document. + /// /// /// Optional. Title of the document. /// - /// - /// Optional. Text of the chunk. - /// /// /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// - /// - /// Optional. URI reference of the semantic retrieval document. - /// - /// - /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} + /// + /// Optional. Text of the chunk. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] @@ -86,19 +86,19 @@ public sealed partial class RetrievedContext public RetrievedContext( global::System.Collections.Generic.IList? customMetadata, int? pageNumber, + string? mediaId, + string? uri, string? title, - string? text, string? fileSearchStore, - string? uri, - string? mediaId) + string? text) { this.CustomMetadata = customMetadata; this.PageNumber = pageNumber; + this.MediaId = mediaId; + this.Uri = uri; this.Title = title; - this.Text = text; this.FileSearchStore = fileSearchStore; - this.Uri = uri; - this.MediaId = mediaId; + this.Text = text; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs index 8761eef3..19c4fb32 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ReviewSnippet { + /// + /// The ID of the review snippet. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] + public string? ReviewId { get; set; } + /// /// A link that corresponds to the user review on Google Maps. /// @@ -20,12 +26,6 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } - /// - /// The ID of the review snippet. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] - public string? ReviewId { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ReviewSnippet /// /// Initializes a new instance of the class. /// + /// + /// The ID of the review snippet. + /// /// /// A link that corresponds to the user review on Google Maps. /// /// /// Title of the review. /// - /// - /// The ID of the review snippet. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( + string? reviewId, string? googleMapsUri, - string? title, - string? reviewId) + string? title) { + this.ReviewId = reviewId; this.GoogleMapsUri = googleMapsUri; this.Title = title; - this.ReviewId = reviewId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 35a3b72d..7c955ca3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { - /// - /// Was this content blocked because of this rating? - /// - [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] - public bool? Blocked { get; set; } - /// /// Required. The category for this rating. /// @@ -21,6 +15,12 @@ public sealed partial class SafetyRating [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter))] public global::Google.Gemini.SafetyRatingCategory? Category { get; set; } + /// + /// Was this content blocked because of this rating? + /// + [global::System.Text.Json.Serialization.JsonPropertyName("blocked")] + public bool? Blocked { get; set; } + /// /// Required. The probability of harm for this content. /// @@ -37,12 +37,12 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// - /// - /// Was this content blocked because of this rating? - /// /// /// Required. The category for this rating. /// + /// + /// Was this content blocked because of this rating? + /// /// /// Required. The probability of harm for this content. /// @@ -50,12 +50,12 @@ public sealed partial class SafetyRating [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( - bool? blocked, global::Google.Gemini.SafetyRatingCategory? category, + bool? blocked, global::Google.Gemini.SafetyRatingProbability? probability) { - this.Blocked = blocked; this.Category = category; + this.Blocked = blocked; this.Probability = probability; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index 3704eea7..f5a4bb6f 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 @@ -9,94 +9,95 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] - public string? MaxProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { 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. 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("propertyOrdering")] - public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { 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. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { 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. 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("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. The title of the schema. + /// Optional. Maximum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxProperties")] + public string? MaxProperties { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING @@ -105,41 +106,40 @@ public sealed partial class Schema public string? MinLength { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// 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("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("propertyOrdering")] + public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Required. Data type. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -150,121 +150,121 @@ public sealed partial class Schema /// /// Initializes a new instance of the class. /// - /// - /// Optional. Maximum number of the properties for Type.OBJECT. + /// + /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// + /// Optional. Required properties of Type.OBJECT. + /// + /// + /// Optional. The title of the schema. + /// + /// + /// Required. Data type. + /// + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER + /// + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// + /// + /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// + /// Optional. Example of the object. Will only populated when the object is the root. /// /// /// Optional. Maximum length of the Type.STRING /// + /// + /// 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. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// /// /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Minimum number of the properties for Type.OBJECT. - /// - /// - /// 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 properties for Type.OBJECT. /// /// /// 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. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// + /// Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response. /// /// /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// 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. Minimum number of the properties for Type.OBJECT. /// /// /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. The title of the schema. - /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. - /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING - /// - /// - /// Optional. Required properties of Type.OBJECT. - /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. - /// /// /// Optional. Properties of Type.OBJECT. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. - /// - /// - /// Required. Data type. - /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - string? maxProperties, + string? minItems, + global::System.Collections.Generic.IList? required, + string? title, + global::Google.Gemini.SchemaType? type, + double? minimum, + global::System.Collections.Generic.IList? @enum, + string? maxItems, + string? format, + object? example, string? maxLength, + global::Google.Gemini.Schema? items, string? description, bool? nullable, - string? minProperties, - global::System.Collections.Generic.IList? propertyOrdering, - double? minimum, + string? maxProperties, object? @default, - double? maximum, + string? minLength, + global::System.Collections.Generic.IList? propertyOrdering, global::System.Collections.Generic.IList? anyOf, - string? maxItems, - global::System.Collections.Generic.IList? @enum, + double? maximum, + string? minProperties, string? pattern, - string? title, - string? format, - string? minLength, - global::System.Collections.Generic.IList? required, - string? minItems, - global::System.Collections.Generic.Dictionary? properties, - object? example, - global::Google.Gemini.SchemaType? type, - global::Google.Gemini.Schema? items) + global::System.Collections.Generic.Dictionary? properties) { - this.MaxProperties = maxProperties; + this.MinItems = minItems; + this.Required = required; + this.Title = title; + this.Type = type; + this.Minimum = minimum; + this.Enum = @enum; + this.MaxItems = maxItems; + this.Format = format; + this.Example = example; this.MaxLength = maxLength; + this.Items = items; this.Description = description; this.Nullable = nullable; - this.MinProperties = minProperties; - this.PropertyOrdering = propertyOrdering; - this.Minimum = minimum; + this.MaxProperties = maxProperties; this.Default = @default; - this.Maximum = maximum; + this.MinLength = minLength; + this.PropertyOrdering = propertyOrdering; this.AnyOf = anyOf; - this.MaxItems = maxItems; - this.Enum = @enum; + this.Maximum = maximum; + this.MinProperties = minProperties; this.Pattern = pattern; - this.Title = title; - this.Format = format; - this.MinLength = minLength; - this.Required = required; - this.MinItems = minItems; this.Properties = properties; - this.Example = example; - this.Type = type; - this.Items = items; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index db03bec1..8890bdf2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
- /// Included only in responses - /// /// /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// + /// + /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? source, - string? chunk) + string? chunk, + string? source) { - this.Source = source; this.Chunk = chunk; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index 4d41ca9d..cc31a307 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class SpeechConfig { /// - /// The configuration for the voice to use. + /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] - public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] + public string? LanguageCode { get; set; } /// /// The configuration for the multi-speaker setup. @@ -21,10 +21,10 @@ public sealed partial class SpeechConfig public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } /// - /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. + /// The configuration for the voice to use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] - public string? LanguageCode { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("voiceConfig")] + public global::Google.Gemini.VoiceConfig? VoiceConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// - /// - /// The configuration for the voice to use. + /// + /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// /// /// The configuration for the multi-speaker setup. /// - /// - /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. + /// + /// The configuration for the voice to use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( - global::Google.Gemini.VoiceConfig? voiceConfig, + string? languageCode, global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, - string? languageCode) + global::Google.Gemini.VoiceConfig? voiceConfig) { - this.VoiceConfig = voiceConfig; - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.LanguageCode = languageCode; + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; + this.VoiceConfig = voiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index 3b58e292..d40cd9d8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -14,18 +14,18 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("code")] public int? Code { get; set; } - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("details")] - public global::System.Collections.Generic.IList? Details { get; set; } - /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class Status /// /// The status code, which should be an enum value of google.rpc.Code. /// - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( int? code, - global::System.Collections.Generic.IList? details, - string? message) + string? message, + global::System.Collections.Generic.IList? details) { this.Code = code; - this.Details = details; this.Message = message; + this.Details = details; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs index f869a55c..589fdec8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class StreamableHttpTransport { - /// - /// Whether to close the client session when the transport closes. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } - - /// - /// HTTP timeout for regular operations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } - /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// @@ -32,12 +20,24 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("url")] public string? Url { get; set; } + /// + /// HTTP timeout for regular operations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } + /// /// Timeout for SSE read operations. /// [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] public string? SseReadTimeout { get; set; } + /// + /// Whether to close the client session when the transport closes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } + /// /// 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. /// - /// - /// Whether to close the client session when the transport closes. - /// - /// - /// HTTP timeout for regular operations. - /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// + /// + /// HTTP timeout for regular operations. + /// /// /// Timeout for SSE read operations. /// + /// + /// Whether to close the client session when the transport closes. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - bool? terminateOnClose, - string? timeout, global::System.Collections.Generic.Dictionary? headers, string? url, - string? sseReadTimeout) + string? timeout, + string? sseReadTimeout, + bool? terminateOnClose) { - this.TerminateOnClose = terminateOnClose; - this.Timeout = timeout; this.Headers = headers; this.Url = url; + this.Timeout = timeout; this.SseReadTimeout = sseReadTimeout; + this.TerminateOnClose = terminateOnClose; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index f6546f19..fe471aeb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ThinkingConfig { - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// The number of thoughts tokens that the model should generate. /// [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] public int? ThinkingBudget { get; set; } + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } + /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -36,12 +36,12 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// /// /// The number of thoughts tokens that the model should generate. /// + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. + /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// @@ -49,12 +49,12 @@ public sealed partial class ThinkingConfig [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - bool? includeThoughts, int? thinkingBudget, + bool? includeThoughts, global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { - this.IncludeThoughts = includeThoughts; this.ThinkingBudget = thinkingBudget; + this.IncludeThoughts = includeThoughts; this.ThinkingLevel = thinkingLevel; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index 950aa6e8..0da6cae2 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 @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] - public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } - - /// - /// Tool to support URL context retrieval. + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] - public global::Google.Gemini.UrlContext? UrlContext { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { 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. @@ -33,16 +27,22 @@ public sealed partial class Tool public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// - /// 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 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. MCP Servers to connect to. @@ -51,16 +51,16 @@ 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 support URL context retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] + public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,11 +71,8 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// - /// - /// Tool to support URL context retrieval. + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. @@ -83,44 +80,47 @@ public sealed partial class Tool /// /// Computer Use tool type. /// + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// /// /// 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. - /// /// /// Optional. MCP Servers to connect to. /// + /// + /// Tool to support URL context retrieval. + /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.CodeExecution? codeExecution, global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.ComputerUse? computerUse, + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.GoogleSearch? googleSearch, global::Google.Gemini.GoogleMaps? googleMaps, - global::Google.Gemini.CodeExecution? codeExecution, global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.GoogleSearch? googleSearch) + global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.FileSearch? fileSearch) { - this.GoogleSearchRetrieval = googleSearchRetrieval; - this.UrlContext = urlContext; + this.CodeExecution = codeExecution; this.FunctionDeclarations = functionDeclarations; this.ComputerUse = computerUse; + this.GoogleSearchRetrieval = googleSearchRetrieval; + this.GoogleSearch = googleSearch; this.GoogleMaps = googleMaps; - this.CodeExecution = codeExecution; this.McpServers = mcpServers; + this.UrlContext = urlContext; this.FileSearch = fileSearch; - 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 b0e4cb95..6da5f988 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 +9,11 @@ namespace Google.Gemini public sealed partial class ToolCall { /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// Required. The type of tool that was called. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter))] + public global::Google.Gemini.ToolCallToolType? ToolType { get; set; } /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} @@ -21,11 +22,10 @@ public sealed partial class ToolCall public object? Args { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter))] - public global::Google.Gemini.ToolCallToolType? ToolType { 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 ToolCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + /// Required. The type of tool that was called. /// /// /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// - /// - /// 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`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( - string? id, + global::Google.Gemini.ToolCallToolType? toolType, object? args, - global::Google.Gemini.ToolCallToolType? toolType) + string? id) { - this.Id = id; - this.Args = args; this.ToolType = toolType; + this.Args = args; + this.Id = id; } /// 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 a19a61c7..e99681cb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -9,11 +9,10 @@ namespace Google.Gemini public sealed partial class ToolResponse { /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// Optional. The identifier of the tool call this response is for. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] - public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Optional. The tool response. @@ -22,10 +21,11 @@ public sealed partial class ToolResponse public object? Response { get; set; } /// - /// 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`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] + public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ToolResponse /// /// Initializes a new instance of the class. /// - /// - /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// + /// Optional. The identifier of the tool call this response is for. /// /// /// Optional. The tool response. /// - /// - /// 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`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, + string? id, object? response, - string? id) + global::Google.Gemini.ToolResponseToolType? toolType) { - this.ToolType = toolType; - this.Response = response; this.Id = id; + this.Response = response; + this.ToolType = toolType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index 08a25c4b..2e14583c 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 @@ -9,43 +9,42 @@ 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. + /// Optional. List of project numbers that have read access to the tuned model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] + public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// - /// Optional. A short description of this model. + /// 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; } /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// Optional. A short description of this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Output only. The timestamp when this model was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -54,16 +53,19 @@ public sealed partial class TunedModel public string? DisplayName { get; set; } /// - /// Optional. List of project numbers that have read access to the tuned model. + /// Output only. The state of the tuned model.
+ /// 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("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter))] + public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Tuned model as a source for training a new model. + /// 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("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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. @@ -72,24 +74,22 @@ public sealed partial class TunedModel public float? Temperature { get; set; } /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// - [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("topK")] + public int? TopK { get; set; } /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// Tuned model as a source for training a new model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } /// - /// Tuning tasks that create tuned models. + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,8 +100,15 @@ 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. + /// + /// Optional. List of project numbers that have read access to the tuned model. + /// + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses + /// + /// + /// Tuning tasks that create tuned models. /// /// /// Optional. A short description of this model. @@ -110,70 +117,63 @@ public sealed partial class TunedModel /// Output only. The timestamp when this model was created.
/// Included only in responses /// - /// - /// Output only. The timestamp when this model was updated.
+ /// + /// 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 state of the tuned model.
/// Included only in responses /// /// /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// + /// + /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// /// /// 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. 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. - /// /// /// Tuned model as a source for training a new model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// 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` - /// - /// - /// Tuning tasks that create tuned models. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - float? topP, + global::System.Collections.Generic.IList? readerProjectNumbers, + string? updateTime, + global::Google.Gemini.TuningTask? tuningTask, string? description, string? createTime, - string? updateTime, + string? baseModel, + string? displayName, + global::Google.Gemini.TunedModelState? state, string? name, + float? temperature, int? topK, - string? displayName, - global::System.Collections.Generic.IList? readerProjectNumbers, global::Google.Gemini.TunedModelSource? tunedModelSource, - float? temperature, - global::Google.Gemini.TunedModelState? state, - string? baseModel, - global::Google.Gemini.TuningTask? tuningTask) + float? topP) { - this.TopP = topP; + this.ReaderProjectNumbers = readerProjectNumbers; + this.UpdateTime = updateTime; + this.TuningTask = tuningTask; this.Description = description; this.CreateTime = createTime; - this.UpdateTime = updateTime; + this.BaseModel = baseModel; + this.DisplayName = displayName; + this.State = state; this.Name = name; + this.Temperature = temperature; this.TopK = topK; - this.DisplayName = displayName; - this.ReaderProjectNumbers = readerProjectNumbers; this.TunedModelSource = tunedModelSource; - this.Temperature = temperature; - this.State = state; - this.BaseModel = baseModel; - this.TuningTask = tuningTask; + this.TopP = topP; } /// 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 bafee2ce..ceaaa53f 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 @@ -8,12 +8,6 @@ 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 @@ -21,6 +15,12 @@ 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? tunedModel, - string? baseModel) + string? baseModel, + string? tunedModel) { - this.TunedModel = tunedModel; this.BaseModel = baseModel; + this.TunedModel = tunedModel; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs index c14984f5..d2aae8fd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -16,11 +16,11 @@ public sealed partial class TuningSnapshot public int? Step { get; set; } /// - /// Output only. The mean loss of the training examples for this step.
+ /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] - public float? MeanLoss { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } /// /// Output only. The epoch this step was part of.
@@ -30,11 +30,11 @@ public sealed partial class TuningSnapshot public int? Epoch { get; set; } /// - /// Output only. The timestamp when this metric was computed.
+ /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("meanLoss")] + public float? MeanLoss { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -49,16 +49,16 @@ public sealed partial class TuningSnapshot /// Output only. The tuning step.
/// Included only in responses /// - /// - /// Output only. The mean loss of the training examples for this step.
+ /// + /// Output only. The timestamp when this metric was computed.
/// Included only in responses /// /// /// Output only. The epoch this step was part of.
/// Included only in responses /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// #if NET7_0_OR_GREATER @@ -66,14 +66,14 @@ public sealed partial class TuningSnapshot #endif public TuningSnapshot( int? step, - float? meanLoss, + string? computeTime, int? epoch, - string? computeTime) + float? meanLoss) { this.Step = step; - this.MeanLoss = meanLoss; - this.Epoch = epoch; this.ComputeTime = computeTime; + this.Epoch = epoch; + this.MeanLoss = meanLoss; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 940dad30..c5d36636 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs @@ -9,24 +9,25 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// 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. The timestamp when tuning this model completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] + public string? CompleteTime { get; set; } /// - /// Dataset for training or validation. + /// Output only. Metrics collected during tuning.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] - public global::Google.Gemini.Dataset? TrainingData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance @@ -35,11 +36,10 @@ public sealed partial class TuningTask public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses + /// Dataset for training or validation. /// - [global::System.Text.Json.Serialization.JsonPropertyName("completeTime")] - public string? CompleteTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,39 +50,39 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Dataset for training or validation. + /// + /// Output only. The timestamp when tuning this model completed.
+ /// Included only in responses + /// + /// + /// Output only. Metrics collected during tuning.
+ /// Included only in responses /// /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - /// - /// Output only. The timestamp when tuning this model completed.
- /// Included only in responses + /// + /// Dataset for training or validation. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - global::System.Collections.Generic.IList? snapshots, string? startTime, - global::Google.Gemini.Dataset? trainingData, + string? completeTime, + global::System.Collections.Generic.IList? snapshots, global::Google.Gemini.Hyperparameters? hyperparameters, - string? completeTime) + global::Google.Gemini.Dataset? trainingData) { - this.Snapshots = snapshots; this.StartTime = startTime; - this.TrainingData = trainingData; - this.Hyperparameters = hyperparameters; this.CompleteTime = completeTime; + this.Snapshots = snapshots; + this.Hyperparameters = hyperparameters; + 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 2e77d4e4..b73875bb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -14,12 +14,6 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } - /// - /// Custom metadata to be associated with the data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -32,6 +26,12 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Custom metadata to be associated with the data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// 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 /// /// /// 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. + /// #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) + string? mimeType, + global::System.Collections.Generic.IList? customMetadata) { this.DisplayName = displayName; - this.CustomMetadata = customMetadata; this.ChunkingConfig = chunkingConfig; this.MimeType = mimeType; + this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs index 51f6191e..e69ffdd1 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 @@ -16,56 +16,57 @@ public sealed partial class UsageMetadata public int? ThoughtsTokenCount { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
- /// Included only in responses + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Total token count for the generation request (prompt + thoughts + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Output only. List of modalities that were returned in the response.
+ /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] - public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] - public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Total token count for the generation request (prompt + thoughts + response candidates). + /// Output only. List of modalities that were returned in the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// /// Output only. Service tier of the request.
@@ -76,11 +77,10 @@ public sealed partial class UsageMetadata public global::Google.Gemini.UsageMetadataServiceTier? ServiceTier { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// Number of tokens in the cached part of the prompt (the cached content) /// - [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; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -109,13 +109,24 @@ public sealed partial class UsageMetadata /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Total token count for the generation request (prompt + thoughts + response candidates). + /// + /// + /// Output only. List of modalities of the cached content in the request input.
+ /// Included only in responses + /// + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses + /// /// /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// /// /// Total number of tokens across all the generated response candidates. /// @@ -127,23 +138,12 @@ public sealed partial class UsageMetadata /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
- /// Included only in responses - /// - /// - /// Total token count for the generation request (prompt + thoughts + response candidates). - /// /// /// Output only. Service tier of the request.
/// Included only in responses /// - /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// + /// Number of tokens in the cached part of the prompt (the cached content) /// /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -158,30 +158,30 @@ public sealed partial class UsageMetadata #endif public UsageMetadata( int? thoughtsTokenCount, + int? promptTokenCount, + int? totalTokenCount, + global::System.Collections.Generic.IList? cacheTokensDetails, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? toolUsePromptTokenCount, - int? cachedContentTokenCount, int? candidatesTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, global::System.Collections.Generic.IList? candidatesTokensDetails, - int? promptTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - int? totalTokenCount, global::Google.Gemini.UsageMetadataServiceTier? serviceTier, - global::System.Collections.Generic.IList? cacheTokensDetails, + int? cachedContentTokenCount, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { this.ThoughtsTokenCount = thoughtsTokenCount; + this.PromptTokenCount = promptTokenCount; + this.TotalTokenCount = totalTokenCount; + this.CacheTokensDetails = cacheTokensDetails; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.CachedContentTokenCount = cachedContentTokenCount; this.CandidatesTokenCount = candidatesTokenCount; this.PromptTokensDetails = promptTokensDetails; this.CandidatesTokensDetails = candidatesTokensDetails; - this.PromptTokenCount = promptTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.TotalTokenCount = totalTokenCount; this.ServiceTier = serviceTier; - this.CacheTokensDetails = cacheTokensDetails; + this.CachedContentTokenCount = cachedContentTokenCount; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 501a7697..4b026833 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,47 +11,36 @@ } ], "paths": { - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/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": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "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": "updateMask", + "name": "pageToken", "in": "query", - "description": "Optional. The list of fields to update.", + "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", - "format": "google-fieldmask" + "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -59,110 +48,82 @@ } } }, - "/batches/{batchesId}": { - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", + "/models/{modelsId}:embedContent": { + "post": { + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be deleted.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/EmbedContentResponse" } } } } } - }, - "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", + } + }, + "/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": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" } } } - } - } - }, - "/batches": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", - "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" - } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -170,28 +131,19 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/models/{modelsId}:countTokens": { + "post": { + "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", + "operationId": "models.countTokens", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The 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", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -199,7 +151,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CountTokensRequest" } } } @@ -210,7 +162,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -218,29 +170,38 @@ } } }, - "/batches/{batchesId}:cancel": { + "/models/{modelsId}:asyncBatchEmbedContent": { "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -248,38 +209,29 @@ } } }, - "/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", + "/models/{modelsId}": { + "get": { + "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", + "operationId": "models.get", "parameters": [ { "name": "modelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", "pattern": "^models/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/Model" } } } @@ -365,10 +317,10 @@ } } }, - "/models/{modelsId}:asyncBatchEmbedContent": { + "/models/{modelsId}:batchGenerateContent": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { "name": "modelsId", @@ -385,7 +337,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -404,26 +356,27 @@ } } }, - "/models": { + "/models/{modelsId}/operations/{operationsId}": { "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], @@ -433,7 +386,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -441,43 +394,62 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "/models/{modelsId}/operations": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ { - "name": "modelsId", + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", "pattern": "^models/[^/]+$" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -485,19 +457,19 @@ } } }, - "/models/{modelsId}:embedContent": { + "/tunedModels/{tunedModelsId}:streamGenerateContent": { "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -505,7 +477,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -516,7 +488,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -524,19 +501,19 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -544,7 +521,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -555,7 +532,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -563,19 +540,19 @@ } } }, - "/models/{modelsId}": { - "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "/tunedModels/{tunedModelsId}": { + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "modelsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -585,35 +562,71 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", + }, + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } }, { - "name": "modelsId", + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + } + } + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", + "parameters": [ + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -623,7 +636,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TunedModel" } } } @@ -631,33 +644,23 @@ } } }, - "/models/{modelsId}/operations": { + "/tunedModels": { "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 created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { "name": "filter", "in": "query", - "description": "The standard list filter.", + "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": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -666,18 +669,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -686,23 +681,31 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/fileSearchStores": { + }, "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", + "parameters": [ + { + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "schema": { + "type": "string" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/TunedModel" } } } @@ -713,42 +716,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + } + }, + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -756,65 +763,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } - } - }, - "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Operation" } } } @@ -822,19 +802,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/tunedModels/{tunedModelsId}:transferOwnership": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -842,7 +822,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -853,7 +833,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -861,13 +841,13 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { "get": { "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -875,13 +855,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "operationsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -899,27 +879,52 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "/tunedModels/{tunedModelsId}/operations": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -929,7 +934,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -937,36 +942,27 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { - "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "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.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -976,21 +972,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + }, "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -998,13 +992,13 @@ } }, { - "name": "documentsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1014,19 +1008,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Permission" } } } } } }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1034,31 +1028,41 @@ } }, { - "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.", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } }, { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } @@ -1066,15 +1070,27 @@ } } }, - "/files": { + "/tunedModels/{tunedModelsId}/permissions": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -1085,7 +1101,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Permission" } } } @@ -1093,13 +1109,13 @@ } }, "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1108,10 +1124,20 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } } ], "responses": { @@ -1120,7 +1146,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -1128,133 +1154,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { - "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", - "parameters": [ - { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", - "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" - } - } - } - } - } - } - }, - "/generatedFiles": { - "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", - "schema": { - "type": "string" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" - } - } - } - } - } - } - }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "generatedFilesId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}": { + "/cachedContents/{cachedContentsId}": { "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -1264,7 +1176,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1272,23 +1184,23 @@ } }, "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "Optional. The list of fields to update.", + "description": "The list of fields to update.", "schema": { "type": "string", "format": "google-fieldmask" @@ -1299,7 +1211,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1310,7 +1222,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1318,17 +1230,17 @@ } }, "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], @@ -1346,27 +1258,15 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "/cachedContents": { "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1377,31 +1277,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/tunedModels": { + }, "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { "type": "integer", "format": "int32" @@ -1410,54 +1300,19 @@ { "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" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", - "parameters": [ - { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", "schema": { "type": "string" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -1465,19 +1320,19 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "/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": "tunedModels.streamGenerateContent", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1509,19 +1364,19 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { + "/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": "tunedModels.generateContent", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "tunedModelsId", + "name": "dynamicId", "in": "path", "required": true, "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], @@ -1548,27 +1403,15 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/files": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -1579,46 +1422,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CreateFileResponse" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + }, + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } @@ -1626,37 +1465,38 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "post": { + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -1664,33 +1504,15 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/fileSearchStores": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -1699,18 +1521,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -1719,7 +1533,32 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -1727,19 +1566,19 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1747,7 +1586,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -1758,42 +1597,63 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + } + }, + "/fileSearchStores/{fileSearchStoresId}": { + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "pageSize", + "name": "force", "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "schema": { - "type": "integer", - "format": "int32" + "type": "boolean" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + }, + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", + "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -1803,7 +1663,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -1811,13 +1671,13 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -1825,13 +1685,13 @@ } }, { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -1841,19 +1701,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + } + }, + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -1861,53 +1723,37 @@ } }, { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", - "schema": { - "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, "schema": { @@ -1915,13 +1761,13 @@ } }, { - "name": "permissionsId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -1931,90 +1777,51 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Document" } } } } } - } - }, - "/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 a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "dynamicId", + "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", - "pattern": "^dynamic/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + "type": "string" } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } + }, + { + "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" } - } - } - } - }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", - "parameters": [ + }, { - "name": "dynamicId", + "name": "documentsId", "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 `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } @@ -2022,103 +1829,46 @@ } } }, - "/cachedContents/{cachedContentsId}": { + "/fileSearchStores/{fileSearchStoresId}/documents": { "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } + "type": "integer", + "format": "int32" } - } - } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", - "parameters": [ + }, { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } + "type": "string" } - } - } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", - "parameters": [ + }, { - "name": "cachedContentsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } @@ -2126,15 +1876,15 @@ } } }, - "/cachedContents": { + "/corpora": { "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { "type": "integer", "format": "int32" @@ -2143,7 +1893,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", "schema": { "type": "string" } @@ -2155,7 +1905,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } @@ -2163,13 +1913,13 @@ } }, "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Corpus" } } } @@ -2180,7 +1930,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Corpus" } } } @@ -2188,19 +1938,19 @@ } } }, - "/files/{filesId}": { + "/corpora/{corporaId}": { "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "filesId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2210,7 +1960,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/Corpus" } } } @@ -2218,17 +1968,25 @@ } }, "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "filesId", - "in": "path", - "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "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": "string", - "pattern": "^files/[^/]+$" + "type": "boolean" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" } } ], @@ -2246,53 +2004,27 @@ } } }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" - } - } - } - } - } - } - }, - "/corpora": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "name": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { - "type": "string" + "type": "string", + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2302,32 +2034,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Operation" } } } @@ -2335,19 +2042,27 @@ } } }, - "/corpora/{corporaId}": { + "/corpora/{corporaId}/permissions/{permissionsId}": { "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ + { + "name": "permissionsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -2357,57 +2072,73 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Permission" } } } } } }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { - "type": "boolean" + "type": "string" } }, { "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "operationsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -2418,10 +2149,10 @@ "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -2431,7 +2162,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -2523,27 +2254,26 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { + "/generatedFiles": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "string" } } ], @@ -2553,19 +2283,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } } } - }, - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + } + }, + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -2573,67 +2305,43 @@ } }, { - "name": "corporaId", + "name": "generatedFilesId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "The name of the operation resource.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -2650,542 +2358,500 @@ } } } - } - }, - "components": { - "schemas": { - "ListTunedModelsResponse": { - "description": "Response from `ListTunedModels` containing a paginated list of Models.", - "type": "object", - "properties": { - "tunedModels": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TunedModel" + }, + "/batches/{batchesId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" } - }, - "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" } - } - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "type": "object", - "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", - "type": "string" + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } } } }, - "FunctionResponse": { - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", - "type": "object", - "properties": { - "response": { - "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." + "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/[^/]+$" } - }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" - }, - "id": { - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", - "type": "string" - }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - }, - "scheduling": { - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", - "type": "string", - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ], - "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" - ] - }, - "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } } } } - }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", - "type": "object", - "properties": { - "permissions": { - "description": "Returned permissions.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Permission" + } + }, + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" } }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } } - } - }, - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", - "type": "object", - "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } } - } - }, - "InlinedEmbedContentRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentBatch" + } + } } } } - }, - "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", - "type": "object", - "properties": { - "contents": { - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" } }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + } } } - }, - "Candidate": { - "description": "A response candidate generated from the model.", - "type": "object", - "properties": { - "logprobsResult": { - "readOnly": true, - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult" - }, - "groundingMetadata": { - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata", - "readOnly": true - }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" + } + }, + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", + "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" } }, - "tokenCount": { - "readOnly": true, - "format": "int32", - "description": "Output only. Token count for this candidate.", - "type": "integer" - }, - "citationMetadata": { - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", - "$ref": "#/components/schemas/CitationMetadata", - "readOnly": true - }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - }, - "readOnly": true - }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true - }, - "index": { - "readOnly": true, - "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates.", - "type": "integer" - }, - "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.", - "type": "string" - }, - "finishReason": { - "readOnly": true, - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response.", - "Request was filtered by an escalation rule." - ], - "enum": [ - "FINISH_REASON_UNSPECIFIED", - "STOP", - "MAX_TOKENS", - "SAFETY", - "RECITATION", - "LANGUAGE", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "SPII", - "MALFORMED_FUNCTION_CALL", - "IMAGE_SAFETY", - "IMAGE_PROHIBITED_CONTENT", - "IMAGE_OTHER", - "NO_IMAGE", - "IMAGE_RECITATION", - "UNEXPECTED_TOOL_CALL", - "TOO_MANY_TOOL_CALLS", - "MISSING_THOUGHT_SIGNATURE", - "MALFORMED_RESPONSE", - "ESCALATION" - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "type": "string" + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "type": "number", - "readOnly": true, - "format": "double" + { + "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": { + "$ref": "#/components/schemas/ListOperationsResponse" + } + } + } + } + } + } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", + "requestBody": { "content": { - "readOnly": true, - "description": "Output only. Generated content returned from the model.", - "$ref": "#/components/schemas/Content" + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesResponse" + } + } + } + } + } + } + }, + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } + } + } + } + } + }, + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } } } - }, - "TextResponseFormat": { - "description": "Configuration for text output format.", + } + } + }, + "components": { + "schemas": { + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", "properties": { - "mimeType": { - "description": "Optional. The MIME type of the text output.", + "presencePenalty": { + "format": "float", + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number" + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "type": "string", "x-enum-descriptions": [ - "Default value. This value is unused.", - "JSON output format.", - "Plain text output format." + "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": [ - "MIME_TYPE_UNSPECIFIED", - "APPLICATION_JSON", - "TEXT_PLAIN" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" ] }, - "schema": { - "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." - } - } - }, - "LogprobsResultCandidate": { - "description": "Candidate for the logprobs token and score.", - "type": "object", - "properties": { - "tokenId": { - "description": "The candidate\u2019s token id value.", - "type": "integer", - "format": "int32" - }, - "token": { - "description": "The candidate\u2019s token string value.", - "type": "string" + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" }, - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" - } - } - }, - "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": { - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array", + "responseModalities": { "items": { - "$ref": "#/components/schemas/Part" - } + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ], + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ] + }, + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "type": "array" }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", - "type": "string" - } - } - }, - "ImageConfig": { - "description": "Config for image generation features.", - "type": "object", - "properties": { - "aspectRatio": { - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided.", - "type": "string" + "translationConfig": { + "description": "Optional. Config for translation.", + "$ref": "#/components/schemas/TranslationConfig" }, - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", - "type": "string" - } - } - }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "type": "object", - "properties": { - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer", + "format": "int32" }, - "uri": { - "description": "URI reference of the place.", - "type": "string" + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" }, - "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" + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" }, - "title": { - "description": "Title of the place.", - "type": "string" + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "type": "integer", + "format": "int32" }, - "text": { - "description": "Text description of the place answer.", + "responseMimeType": { + "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types.", "type": "string" - } - } - }, - "InlinedRequests": { - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "type": "object", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } - } - } - }, - "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" }, - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" + "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" }, - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "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" }, - "key": { - "description": "The key of the metadata.", - "type": "string" - } - } - }, - "SafetyRating": { - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", - "type": "object", - "properties": { - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + "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" }, - "category": { - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "description": "Required. The category for this rating.", - "type": "string", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ] + "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" }, - "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.", - "type": "string" - } - } - }, - "EmbeddingUsageMetadata": { - "description": "Metadata on the usage of the embedding request.", - "type": "object", - "properties": { - "promptTokenDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", + "responseFormat": { + "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", + "$ref": "#/components/schemas/ResponseFormatConfig" + }, + "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" + }, + "stopSequences": { + "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "string" } }, - "promptTokenCount": { - "description": "Output only. Number of tokens in the prompt.", - "type": "integer", - "readOnly": true, - "format": "int32" - } - } - }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", - "type": "object", - "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" + "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.", + "$ref": "#/components/schemas/Schema" }, - "name": { - "description": "The name of the MCPServer.", - "type": "string" + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "type": "boolean" + }, + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" + }, + "imageConfig": { + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", + "$ref": "#/components/schemas/ImageConfig" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." } } }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "type": "object", "properties": { - "citationSources": { - "description": "Citations to sources for a specific response.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CitationSource" - } + "totalTokenCount": { + "format": "int32", + "description": "Total number of tokens that the cached content consumes.", + "type": "integer" } } }, - "Hyperparameters": { - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", "type": "object", "properties": { - "batchSize": { - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", - "type": "integer", - "format": "int32" + "embedContentConfig": { + "description": "Optional. Configuration for the EmbedContent request.", + "$ref": "#/components/schemas/EmbedContentConfig" }, - "learningRate": { - "format": "float", - "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", - "type": "number" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, - "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" + "model": { + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "type": "string" }, - "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" + "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." + ], + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "deprecated": true + }, + "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.", + "type": "string", + "deprecated": true + }, + "outputDimensionality": { + "format": "int32", + "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 } } }, @@ -3194,11 +2860,11 @@ "type": "object", "properties": { "files": { - "description": "The list of `File`s.", - "type": "array", "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.", @@ -3206,929 +2872,1095 @@ } } }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", - "type": "object", - "properties": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", - "type": "array", - "items": { - "$ref": "#/components/schemas/File" - } - } - } - }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "type": "object", "properties": { - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" - }, - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "type": "string", - "format": "byte" - }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", - "type": "boolean" - }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "functionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "$ref": "#/components/schemas/FunctionCall" - }, - "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" - }, - "text": { - "description": "Inline text.", - "type": "string" - }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "codeExecutionResult": { - "description": "Result of executing the `ExecutableCode`.", - "$ref": "#/components/schemas/CodeExecutionResult" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "type": "integer", + "readOnly": true, + "format": "int32" }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" + "totalTokenCount": { + "format": "int32", + "description": "Total token count for the generation request (prompt + thoughts + response candidates).", + "type": "integer" }, - "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.", - "$ref": "#/components/schemas/ToolCall" - } - } - }, - "GroundingMetadata": { - "description": "Metadata returned to client when grounding is enabled.", - "type": "object", - "properties": { - "groundingChunks": { - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/GroundingChunk" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "groundingSupports": { - "description": "List of grounding support.", + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" + "toolUsePromptTokenCount": { + "readOnly": true, + "format": "int32", + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "type": "integer" }, - "imageSearchQueries": { - "description": "Image search queries used for grounding.", + "candidatesTokenCount": { + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer", + "format": "int32" + }, + "promptTokensDetails": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array" + }, + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", "type": "array", + "readOnly": true, "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", + "serviceTier": { + "type": "string", + "readOnly": true, + "description": "Output only. Service tier of the request.", + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ] + }, + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer", + "format": "int32" + }, + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", "type": "array", + "readOnly": true, "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" } + } + } + }, + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "type": "object", + "properties": { + "headers": { + "additionalProperties": { + "type": "string" + }, + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object" }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" }, - "googleMapsWidgetContextToken": { - "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "timeout": { + "description": "HTTP timeout for regular operations.", + "type": "string", + "format": "google-duration" + }, + "sseReadTimeout": { + "format": "google-duration", + "description": "Timeout for SSE read operations.", "type": "string" + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" } } }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "FileData": { + "description": "URI based data.", "type": "object", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "fileUri": { + "description": "Required. URI.", + "type": "string" + }, + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" } } }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", + "ListFileSearchStoresResponse": { + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "type": "object", "properties": { - "groundingChunkIndices": { - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "type": "array", - "items": { - "format": "int32", - "type": "integer" - } - }, - "confidenceScores": { - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "type": "array", - "items": { - "type": "number", - "format": "float" - } + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" }, - "renderedParts": { - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", - "type": "array", + "fileSearchStores": { "items": { - "format": "int32", - "type": "integer" + "$ref": "#/components/schemas/FileSearchStore" }, - "readOnly": true - }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + "description": "The returned rag_stores.", + "type": "array" } } }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" + "requests": { + "description": "Required. The requests to be processed in the batch.", + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedRequest" + } } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", "type": "object", "properties": { - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "type": "string", - "readOnly": true, - "format": "int64" - }, - "requestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests in the batch.", - "type": "string" - }, - "successfulRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that were successfully processed.", + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", "type": "string" - }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "type": "string", - "readOnly": true, - "format": "int64" } } }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "Dataset": { + "description": "Dataset for training or validation.", "type": "object", "properties": { - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } - }, - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } } }, - "InlinedEmbedContentResponses": { - "description": "The responses to the requests in the batch.", + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "response": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." }, - "readOnly": true + "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" + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "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" } } }, - "CustomMetadata": { - "description": "User provided metadata stored as key-value pairs.", + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", "type": "object", - "properties": { - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" - }, - "numericValue": { - "description": "The numeric value of the metadata to store.", - "type": "number", - "format": "float" - }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" + "properties": { + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" } } }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", + "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": { - "allowedFunctionNames": { - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", - "type": "array", - "items": { - "type": "string" - } - }, - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "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", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ] + "format": "google-datetime" + }, + "endTime": { + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + "type": "string" } } }, - "CountTokensResponse": { - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", "type": "object", "properties": { - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content).", + "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": { + "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", "format": "int32" }, - "totalTokens": { + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" + }, + "endIndex": { "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "description": "Optional. End of the attributed segment, exclusive.", "type": "integer" - }, - "promptTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the cached content.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } } } }, - "ListFileSearchStoresResponse": { - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", "type": "object", "properties": { - "fileSearchStores": { - "description": "The returned rag_stores.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FileSearchStore" - } - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "chunk": { + "readOnly": true, + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", "type": "string" + }, + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "type": "string", + "readOnly": true } } }, - "AudioResponseFormat": { - "description": "Configuration for audio output format.", + "FunctionDeclaration": { + "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", "type": "object", "properties": { - "delivery": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Audio data is returned inline in the response.", - "Audio data is returned as a URI." - ], - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "description": "Optional. The delivery mode for the audio output.", - "type": "string" + "parameters": { + "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", + "$ref": "#/components/schemas/Schema" }, - "sampleRate": { - "description": "Optional. Sample rate in Hz.", - "type": "integer", - "format": "int32" + "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" }, - "bitRate": { - "format": "int32", - "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", - "type": "integer" + "description": { + "description": "Required. A brief description of the function.", + "type": "string" }, - "mimeType": { + "behavior": { "enum": [ - "MIME_TYPE_UNSPECIFIED", - "AUDIO_MP3", - "AUDIO_OGG_OPUS", - "AUDIO_L16", - "AUDIO_WAV", - "AUDIO_ALAW", - "AUDIO_MULAW" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ], "x-enum-descriptions": [ - "Default value. This value is unused.", - "MP3 audio format.", - "OGG Opus audio format.", - "Raw PCM (L16) audio format.", - "WAV audio format.", - "A-law audio format.", - "Mu-law audio format." + "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." ], - "description": "Optional. The MIME type of the audio output.", + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "type": "string" + }, + "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" + }, + "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`." + }, + "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`." } } }, - "TranslationConfig": { - "description": "Config for translation features.", + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", "type": "object", "properties": { - "echoTargetLanguage": { - "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", - "type": "boolean" + "shape": { + "items": { + "type": "integer", + "format": "int32" + }, + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array" }, - "targetLanguageCode": { - "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", - "type": "string" + "values": { + "items": { + "format": "float", + "type": "number" + }, + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", + "type": "array" } } }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "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": { - "endIndex": { - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive.", - "type": "integer" + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" }, - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "type": "string", + "format": "byte" + }, + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "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.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "text": { + "description": "Inline text.", "type": "string" }, - "startIndex": { - "format": "int32", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "partMetadata": { + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" + }, + "toolCall": { + "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API.", + "$ref": "#/components/schemas/ToolCall" }, - "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" + "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`.", + "$ref": "#/components/schemas/ToolResponse" } } }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", "properties": { - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "id": { + "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`.", + "type": "string" }, - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer", - "format": "int32" + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionResponsePart" + } }, - "thinkingLevel": { - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "scheduling": { + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "type": "string", "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." ], "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" ] + }, + "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. Multimedia can be included by using a subobject containing a single \"$ref\" key whose value is the `inline_data.display_name` of a `FunctionResponsePart` holding the multimedia. See https://ai.google.dev/gemini-api/docs/function-calling#multimodal.", + "type": "object" + }, + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" + }, + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" } } }, - "CachedContent": { - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "expireTime": { - "format": "google-datetime", - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", - "type": "string" - }, - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Content" - } + "name": { + "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", + "type": "string", + "readOnly": true }, "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", "type": "string" }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "updateTime": { + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", "type": "string", - "readOnly": true - }, - "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "readOnly": true, + "format": "google-datetime" }, "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "type": "string", "readOnly": true, - "format": "google-datetime", - "description": "Output only. Creation time of the cache entry.", - "type": "string" + "format": "google-datetime" + } + } + }, + "TuningSnapshot": { + "description": "Record for a single tuning step.", + "type": "object", + "properties": { + "step": { + "readOnly": true, + "format": "int32", + "description": "Output only. The tuning step.", + "type": "integer" }, - "updateTime": { + "computeTime": { "readOnly": true, "format": "google-datetime", - "description": "Output only. When the cache entry was last updated in UTC time.", - "type": "string" - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "description": "Output only. The timestamp when this metric was computed.", "type": "string" }, - "tools": { - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } + "epoch": { + "readOnly": true, + "format": "int32", + "description": "Output only. The epoch this step was part of.", + "type": "integer" }, - "ttl": { - "format": "google-duration", - "description": "Input only. New TTL for this resource, input only.", + "meanLoss": { + "readOnly": true, + "format": "float", + "description": "Output only. The mean loss of the training examples for this step.", + "type": "number" + } + } + }, + "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" }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the usage of the cached content.", - "$ref": "#/components/schemas/CachedContentUsageMetadata" + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } } }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "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": { - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" + }, + "required": { + "description": "Optional. Required properties of Type.OBJECT.", + "type": "array", + "items": { + "type": "string" + } + }, + "title": { + "description": "Optional. The title of the schema.", "type": "string" }, - "outcome": { + "type": { "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ], "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." + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." ], - "description": "Required. Outcome of the code execution.", + "description": "Required. Data type.", "type": "string" }, - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "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" + }, + "maxItems": { + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY.", "type": "string" - } - } - }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", - "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" }, - "description": { - "description": "Optional. A short description of this model.", + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", "type": "string" }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "maxLength": { + "description": "Optional. Maximum length of the Type.STRING", "type": "string", - "readOnly": true, - "format": "google-datetime" + "format": "int64" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this model was updated.", - "type": "string" + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" }, - "name": { - "readOnly": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", "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" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "maxProperties": { + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT.", "type": "string" }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", + "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." + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "type": "string", + "format": "int64" + }, + "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", - "format": "int64" + "type": "string" } }, - "tunedModelSource": { - "description": "Optional. TunedModel to use as the starting point for training the new model.", - "$ref": "#/components/schemas/TunedModelSource" + "anyOf": { + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Schema" + } }, - "temperature": { - "format": "float", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "number" + "maximum": { + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" }, - "state": { - "description": "Output only. The state of the tuned model.", - "type": "string", - "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" - ], - "readOnly": true, - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ] + "minProperties": { + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "type": "string" }, - "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" }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + } } } }, - "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", + "TranslationConfig": { + "description": "Config for translation features.", "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" + "echoTargetLanguage": { + "description": "Optional. If true, the model will generate audio when the target language is spoken, essentially it will parrot the input. If false, we will not produce audio for the target language.", + "type": "boolean" + }, + "targetLanguageCode": { + "description": "Required. The target language for translation. Supported values are BCP-47 language codes (e.g. \"en\", \"es\", \"fr\").", + "type": "string" } } }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", "properties": { - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "safetyRatings": { + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array" }, - "timeout": { - "description": "HTTP timeout for regular operations.", + "blockReason": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "type": "string", - "format": "google-duration" - }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "type": "object", - "additionalProperties": { - "type": "string" - } - }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", - "type": "string" - }, - "sseReadTimeout": { - "format": "google-duration", - "description": "Timeout for SSE read operations.", - "type": "string" + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ] } } }, - "ResponseFormatConfig": { - "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", + "ThinkingConfig": { + "description": "Config for thinking features.", "type": "object", "properties": { - "text": { - "description": "Optional. Text output format configuration.", - "$ref": "#/components/schemas/TextResponseFormat" + "thinkingBudget": { + "format": "int32", + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer" }, - "audio": { - "description": "Optional. Audio output format configuration.", - "$ref": "#/components/schemas/AudioResponseFormat" + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" }, - "image": { - "description": "Optional. Image output format configuration.", - "$ref": "#/components/schemas/ImageResponseFormat" + "thinkingLevel": { + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. The default value is model-dependent. Refer to the [Thinking levels guide](https://ai.google.dev/gemini-api/docs/thinking#thinking-levels) for more details. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "type": "string" } } }, - "GoogleSearch": { - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "type": "object", "properties": { - "searchTypes": { - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", - "$ref": "#/components/schemas/SearchTypes" - }, - "timeRangeFilter": { - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", - "$ref": "#/components/schemas/Interval" + "files": { + "items": { + "$ref": "#/components/schemas/File" + }, + "description": "The registered files to be used when calling GenerateContent.", + "type": "array" } } }, - "GroundingChunk": { - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "UploadToFileSearchStoreRequest": { + "description": "Request for `UploadToFileSearchStore`.", "type": "object", "properties": { - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" }, - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" }, - "maps": { - "description": "Optional. Grounding chunk from Google Maps.", - "$ref": "#/components/schemas/Maps" + "customMetadata": { + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Custom metadata to be associated with the data.", + "type": "array" } } }, - "TransferOwnershipRequest": { - "description": "Request to transfer the ownership of the tuned model.", + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "type": "object", "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", "type": "string" + }, + "data": { + "description": "Raw bytes for media formats.", + "type": "string", + "format": "byte" } } }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", - "type": "object", - "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - } - } - } - }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", "type": "object", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "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" }, - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string", - "format": "byte" + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + }, + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" } } }, - "RetrievalConfig": { - "description": "Retrieval config.", + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", "type": "object", "properties": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "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" }, - "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" + "batchSize": { + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer" + }, + "epochCount": { + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", + "type": "integer", + "format": "int32" + }, + "learningRate": { + "format": "float", + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "type": "number" } } }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "type": "object", "properties": { - "embeddings": { - "readOnly": true, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "type": "string" + }, + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "type": "array", "items": { - "$ref": "#/components/schemas/ContentEmbedding" + "$ref": "#/components/schemas/CustomMetadata" } }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true + "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" } } }, - "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.", + "VideoMetadata": { "type": "object", "properties": { - "latitude": { + "endOffset": { + "format": "google-duration", + "description": "Optional. The end offset of the video.", + "type": "string" + }, + "fps": { "format": "double", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "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" }, - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number", - "format": "double" + "startOffset": { + "format": "google-duration", + "description": "Optional. The start offset of the video.", + "type": "string" } - } + }, + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "type": "object", "properties": { - "passageId": { - "readOnly": true, - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "text": { + "description": "Text description of the place answer.", "type": "string" }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "type": "integer", - "readOnly": true, - "format": "int32" + "title": { + "description": "Title 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" + }, + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" } } }, - "Blob": { - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", "type": "object", "properties": { - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "renderedParts": { + "readOnly": true, + "items": { + "type": "integer", + "format": "int32" + }, + "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" }, - "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" + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" + }, + "groundingChunkIndices": { + "items": { + "type": "integer", + "format": "int32" + }, + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "type": "array" + }, + "confidenceScores": { + "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", + "type": "array", + "items": { + "format": "float", + "type": "number" + } } } }, - "InputEmbedContentConfig": { - "description": "Configures the input to the batch request.", + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "type": "object", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" + "urlMetadata": { + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "description": "List of url context.", + "type": "array" } } }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "type": "object", "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", - "type": "string" + "allowedFunctionNames": { + "items": { + "type": "string" + }, + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "type": "array" }, - "baseModel": { - "readOnly": true, - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "mode": { + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ], + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ], + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "type": "string" } } }, - "AsyncBatchEmbedContentRequest": { - "description": "Request for an `AsyncBatchEmbedContent` operation.", + "AudioResponseFormat": { + "description": "Configuration for audio output format.", + "type": "object", + "properties": { + "delivery": { + "description": "Optional. The delivery mode for the audio output.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Audio data is returned inline in the response.", + "Audio data is returned as a URI." + ], + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ] + }, + "sampleRate": { + "format": "int32", + "description": "Optional. Sample rate in Hz.", + "type": "integer" + }, + "mimeType": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "MP3 audio format.", + "OGG Opus audio format.", + "Raw PCM (L16) audio format.", + "WAV audio format.", + "A-law audio format.", + "Mu-law audio format." + ], + "description": "Optional. The MIME type of the audio output.", + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "AUDIO_MP3", + "AUDIO_OGG_OPUS", + "AUDIO_L16", + "AUDIO_WAV", + "AUDIO_ALAW", + "AUDIO_MULAW" + ] + }, + "bitRate": { + "format": "int32", + "description": "Optional. Bit rate in bits per second (bps). Only applicable for compressed formats (MP3, Opus).", + "type": "integer" + } + } + }, + "TextResponseFormat": { + "description": "Configuration for text output format.", "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" + "mimeType": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "JSON output format.", + "Plain text output format." + ], + "description": "Optional. The MIME type of the text output.", + "type": "string", + "enum": [ + "MIME_TYPE_UNSPECIFIED", + "APPLICATION_JSON", + "TEXT_PLAIN" + ] + }, + "schema": { + "description": "Optional. The JSON schema that the output should conform to. Only applicable when mime_type is APPLICATION_JSON." } } }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", + "CreateFileResponse": { + "description": "Response for `CreateFile`.", "type": "object", "properties": { - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true - }, - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/EmbedContentResponse" - }, - "metadata": { - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Output only. The metadata associated with the request.", - "type": "object" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } } }, @@ -4137,137 +3969,170 @@ "type": "object", "properties": { "role": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Owner can use, update, share and delete the resource.", - "Writer can use, update and share the resource.", - "Reader can use the resource." - ], "enum": [ "ROLE_UNSPECIFIED", "OWNER", "WRITER", "READER" ], + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], "description": "Required. The role granted by this permission.", "type": "string" }, - "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 - }, "granteeType": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." - ], "enum": [ "GRANTEE_TYPE_UNSPECIFIED", "USER", "GROUP", "EVERYONE" ], + "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" }, "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" + }, + "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 } } }, - "WebSearch": { - "description": "Standard web search for grounding and related configurations.", + "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": { + "code": { + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer" + }, + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" + }, + "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." + } + } + } + } + }, + "ImageSearch": { + "description": "Image search for grounding and related configurations.", "type": "object", "properties": {} }, - "ImageResponseFormat": { - "description": "Configuration for image output format.", + "EmbedContentBatchStats": { + "description": "Stats about the batch.", "type": "object", "properties": { - "mimeType": { - "description": "Optional. The MIME type of the image output.", + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "JPEG image format." - ], - "enum": [ - "MIME_TYPE_UNSPECIFIED", - "IMAGE_JPEG" - ] + "readOnly": true, + "format": "int64" }, - "imageSize": { - "enum": [ - "IMAGE_SIZE_UNSPECIFIED", - "IMAGE_SIZE_FIVE_TWELVE", - "IMAGE_SIZE_ONE_K", - "IMAGE_SIZE_TWO_K", - "IMAGE_SIZE_FOUR_K" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "512px image size.", - "1K image size.", - "2K image size.", - "4K image size." - ], - "description": "Optional. The size of the image output.", - "type": "string" + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "delivery": { - "enum": [ - "DELIVERY_UNSPECIFIED", - "INLINE", - "URI" - ], - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Image data is returned inline in the response.", - "Image data is returned as a URI." - ], - "description": "Optional. The delivery mode for the image output.", + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "type": "string", + "readOnly": true, + "format": "int64" + }, + "failedRequestCount": { + "description": "Output only. The number of requests that failed to be processed.", + "type": "string", + "readOnly": true, + "format": "int64" + } + } + }, + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", + "type": "object", + "properties": { + "videoDuration": { + "format": "google-duration", + "description": "Duration of the video.", "type": "string" + } + } + }, + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "type": "object", + "properties": {} + }, + "InlinedEmbedContentRequest": { + "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" }, - "aspectRatio": { - "x-enum-descriptions": [ - "Default value. This value is unused.", - "1:1 aspect ratio.", - "2:3 aspect ratio.", - "3:2 aspect ratio.", - "3:4 aspect ratio.", - "4:3 aspect ratio.", - "4:5 aspect ratio.", - "5:4 aspect ratio.", - "9:16 aspect ratio.", - "16:9 aspect ratio.", - "21:9 aspect ratio.", - "1:8 aspect ratio.", - "8:1 aspect ratio.", - "1:4 aspect ratio.", - "4:1 aspect ratio." - ], - "enum": [ - "ASPECT_RATIO_UNSPECIFIED", - "ASPECT_RATIO_ONE_BY_ONE", - "ASPECT_RATIO_TWO_BY_THREE", - "ASPECT_RATIO_THREE_BY_TWO", - "ASPECT_RATIO_THREE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_THREE", - "ASPECT_RATIO_FOUR_BY_FIVE", - "ASPECT_RATIO_FIVE_BY_FOUR", - "ASPECT_RATIO_NINE_BY_SIXTEEN", - "ASPECT_RATIO_SIXTEEN_BY_NINE", - "ASPECT_RATIO_TWENTY_ONE_BY_NINE", - "ASPECT_RATIO_ONE_BY_EIGHT", - "ASPECT_RATIO_EIGHT_BY_ONE", - "ASPECT_RATIO_ONE_BY_FOUR", - "ASPECT_RATIO_FOUR_BY_ONE" - ], - "description": "Optional. The aspect ratio for the image output.", + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + } + }, + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", + "type": "object", + "properties": { + "embedding": { + "readOnly": true, + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding" + }, + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true + } + } + }, + "ListCorporaResponse": { + "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "type": "object", + "properties": { + "corpora": { + "items": { + "$ref": "#/components/schemas/Corpus" + }, + "description": "The returned corpora.", + "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" } } @@ -4276,19 +4141,14 @@ "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", "type": "object", "properties": { + "retirementTime": { + "description": "The time at which the model will be retired.", + "type": "string", + "format": "google-datetime" + }, "modelStage": { - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], - "description": "The stage of the underlying model.", "type": "string", + "description": "The stage of the underlying model.", "enumDeprecated": [ false, true, @@ -4299,6 +4159,16 @@ true, false ], + "x-enum-descriptions": [ + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." + ], "enum": [ "MODEL_STAGE_UNSPECIFIED", "UNSTABLE_EXPERIMENTAL", @@ -4310,482 +4180,351 @@ "RETIRED" ] }, - "retirementTime": { - "format": "google-datetime", - "description": "The time at which the model will be retired.", - "type": "string" - }, "message": { "description": "A message explaining the model status.", "type": "string" } } }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "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": { - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` was created.", - "type": "string" - }, - "updateTime": { - "description": "Output only. The timestamp of when the `File` was last updated.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "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" - }, - "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" - }, - "sizeBytes": { - "readOnly": true, - "format": "int64", - "description": "Output only. Size of the file in bytes.", - "type": "string" - }, - "uri": { - "description": "Output only. The uri of the `File`.", - "type": "string", - "readOnly": true - }, - "state": { - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], - "description": "Output only. Processing state of the File.", - "type": "string", - "readOnly": true, - "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." - ] - }, - "downloadUri": { - "readOnly": true, - "description": "Output only. The download uri of the `File`.", - "type": "string" - }, - "error": { - "description": "Output only. Error status if File processing failed.", - "$ref": "#/components/schemas/Status", - "readOnly": true - }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "type": "string", - "readOnly": true, - "format": "byte" - }, - "source": { - "x-enum-descriptions": [ - "Used if source is not specified.", - "Indicates the file is uploaded by the user.", - "Indicates the file is generated by Google.", - "Indicates the file is a registered, i.e. a Google Cloud Storage file." - ], - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" - ], - "description": "Source of the File.", - "type": "string" - }, - "mimeType": { - "readOnly": true, - "description": "Output only. MIME type of the file.", - "type": "string" + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + } + }, + "LogprobsResult": { + "description": "Logprobs Result", + "type": "object", + "properties": { + "logProbabilitySum": { + "format": "float", + "description": "Sum of log probabilities for all tokens.", + "type": "number" }, - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "type": "string", - "readOnly": true, - "format": "google-datetime" + "topCandidates": { + "items": { + "$ref": "#/components/schemas/TopCandidates" + }, + "description": "Length = total number of decoding steps.", + "type": "array" }, - "videoMetadata": { - "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } } } }, - "TuningExample": { - "description": "A single example for tuning.", + "ReviewSnippet": { + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "type": "object", "properties": { - "textInput": { - "description": "Optional. Text model input.", + "reviewId": { + "description": "The ID of the review snippet.", "type": "string" }, - "output": { - "description": "Required. The expected model output.", + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" + }, + "title": { + "description": "Title of the review.", "type": "string" } } }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "RetrievalConfig": { + "description": "Retrieval config.", "type": "object", "properties": { - "blockReason": { - "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." - ], - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "type": "string" + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" }, - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "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" } } }, - "InlinedResponses": { - "description": "The responses to the requests in the batch.", + "StringList": { + "description": "User provided string values assigned to a single metadata key.", "type": "object", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", + "values": { + "description": "The string values of the metadata to store.", "type": "array", "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "readOnly": true + "type": "string" + } } } }, - "FileData": { - "description": "URI based data.", + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", "type": "object", "properties": { - "fileUri": { - "description": "Required. URI.", - "type": "string" + "outputDimensionality": { + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", + "type": "integer", + "format": "int32" }, - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" - } - } - }, - "ToolResponse": { - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", - "type": "object", - "properties": { - "toolType": { - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], + "title": { + "description": "Optional. The title for the text.", + "type": "string" + }, + "audioTrackExtraction": { + "description": "Optional. Whether to extract audio from video content.", + "type": "boolean" + }, + "taskType": { + "description": "Optional. The task type of the embedding.", + "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." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", - "type": "string" + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ] }, - "response": { - "description": "Optional. The tool response.", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "documentOcr": { + "description": "Optional. Whether to enable OCR for document content.", + "type": "boolean" }, - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" + "autoTruncate": { + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", + "type": "boolean" } } }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", + "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": { - "response": { - "readOnly": true, - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse" - }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "type": "object", - "readOnly": true, - "additionalProperties": { - "description": "Properties of the object." - } + "documents": { + "items": { + "$ref": "#/components/schemas/Document" + }, + "description": "The returned `Document`s.", + "type": "array" }, - "error": { - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status", - "readOnly": true + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "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).", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "type": "object", "properties": { - "maxProperties": { - "description": "Optional. Maximum number of the properties for Type.OBJECT.", - "type": "string", - "format": "int64" + "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.", + "$ref": "#/components/schemas/ToolConfig" }, - "maxLength": { - "format": "int64", - "description": "Optional. Maximum length of the Type.STRING", - "type": "string" + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "description": "Optional. The service tier of the request.", + "type": "string", + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ] }, - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" }, - "minProperties": { - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "propertyOrdering": { - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "safetySettings": { + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/SafetySetting" } }, - "minimum": { - "format": "double", - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number" - }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." - }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" + "cachedContent": { + "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "type": "string" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "contents": { + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", "type": "array", "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/Content" } }, - "maxItems": { - "description": "Optional. Maximum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" }, - "enum": { - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "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": { - "type": "string" + "$ref": "#/components/schemas/Tool" } - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" - }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" - }, - "minLength": { - "format": "int64", - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string" - }, - "required": { - "description": "Optional. Required properties of Type.OBJECT.", + } + } + }, + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "type": "object", + "properties": { + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/EmbedContentRequest" } + } + } + }, + "UrlMetadata": { + "description": "Context of the a single url retrieval.", + "type": "object", + "properties": { + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", "type": "string", - "format": "int64" + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] + } + } + }, + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "type": "object", + "properties": {} + }, + "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": { + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "type": "object", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - } + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" + }, + "candidates": { + "items": { + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model.", + "type": "array" }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." + "responseId": { + "readOnly": true, + "description": "Output only. response_id is used to identify each response.", + "type": "string" }, - "type": { - "description": "Required. Data type.", + "modelVersion": { + "description": "Output only. The model version used to generate the response.", "type": "string", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ] + "readOnly": true }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "modelStatus": { + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus", + "readOnly": true } } }, - "DynamicRetrievalConfig": { - "description": "Describes the options to customize dynamic retrieval.", + "ChunkingConfig": { + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", "type": "object", "properties": { - "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" - }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } } }, - "SemanticRetrieverChunk": { - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "GroundingChunkStringList": { + "description": "A list of string values.", "type": "object", "properties": { - "source": { - "readOnly": true, - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", - "type": "string" - }, - "chunk": { - "readOnly": true, - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", - "type": "string" + "values": { + "description": "The string values of the list.", + "type": "array", + "items": { + "type": "string" + } } } }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "type": "object", "properties": { - "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "type": "object" - }, - "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" - }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" - }, - "done": { - "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.", + "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" - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" } } }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "type": "object", "properties": { "category": { - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "description": "Required. The category for this setting.", - "type": "string", + "description": "Required. The category for this rating.", "enumDeprecated": [ false, false, @@ -4813,1053 +4552,1343 @@ "**Gemini** - Sexually explicit content.", "**Gemini** - Dangerous content.", "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ] - }, - "threshold": { - "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" + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" ], - "description": "Required. Controls the probability threshold at which harm is blocked.", + "type": "string" + }, + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" + }, + "probability": { + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ], + "x-enum-descriptions": [ + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." + ], + "description": "Required. The probability of harm for this content.", "type": "string" } } }, - "ComputerUse": { - "description": "Computer Use tool type.", + "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": { - "enablePromptInjectionDetection": { - "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", - "type": "boolean" + "latitude": { + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number", + "format": "double" }, - "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.", + "longitude": { + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number" + } + } + }, + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", + "type": "object", + "properties": { + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "functionDeclarations": { + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/FunctionDeclaration" } }, - "disabledSafetyPolicies": { - "description": "Optional. Disabled safety policies for computer use.", - "type": "array", - "items": { - "type": "string", - "enum": [ - "SAFETY_POLICY_UNSPECIFIED", - "FINANCIAL_TRANSACTIONS", - "SENSITIVE_DATA_MODIFICATION", - "COMMUNICATION_TOOL", - "ACCOUNT_CREATION", - "DATA_MODIFICATION", - "USER_CONSENT_MANAGEMENT", - "LEGAL_TERMS_AND_AGREEMENTS" - ], - "x-enum-descriptions": [ - "Unspecified safety policy.", - "Safety policy for financial transactions.", - "Safety policy for sensitive data modification.", - "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", - "Safety policy for account creation.", - "Safety policy for data modification.", - "Safety policy for user consent management.", - "Safety policy for legal terms and agreements." - ] + "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" + }, + "googleSearch": { + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", + "$ref": "#/components/schemas/GoogleSearch" + }, + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" + }, + "mcpServers": { + "description": "Optional. MCP Servers to connect to.", + "type": "array", + "items": { + "$ref": "#/components/schemas/McpServer" } }, - "environment": { - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser.", - "Operates in a mobile environment.", - "Operates in a desktop environment." - ], - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER", - "ENVIRONMENT_MOBILE", - "ENVIRONMENT_DESKTOP" - ], - "description": "Required. The environment being operated.", - "type": "string" + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" } } }, - "BatchStats": { - "description": "Stats about the batch.", + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object", "properties": { - "requestCount": { + "responsesFile": { "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests in the batch.", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string" }, - "successfulRequestCount": { - "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that were successfully processed.", + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedResponses", + "readOnly": true + } + } + }, + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", + "type": "object", + "properties": { + "stringValue": { + "description": "Optional. The string value of the metadata.", "type": "string" }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + }, + "numericValue": { + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number", + "format": "float" + }, + "key": { + "description": "The key of the metadata.", + "type": "string" + } + } + }, + "Web": { + "description": "Chunk from the web.", + "type": "object", + "properties": { + "uri": { + "description": "Output only. URI reference of the chunk.", "type": "string", - "readOnly": true, - "format": "int64" + "readOnly": true }, - "failedRequestCount": { + "title": { "readOnly": true, - "format": "int64", - "description": "Output only. The number of requests that failed to be processed.", + "description": "Output only. Title of the chunk.", "type": "string" } } }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "type": "object", "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } } }, - "ModalityTokenCount": { - "description": "Represents token counting info for a single modality.", + "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": { - "modality": { - "description": "The modality associated with this token count.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ] + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" }, - "tokenCount": { - "description": "Number of tokens.", - "type": "integer", - "format": "int32" + "name": { + "description": "The name of the MCPServer.", + "type": "string" } } }, - "EmbedContentBatch": { - "description": "A resource representing a batch of `EmbedContent` requests.", + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "type": "object", "properties": { - "displayName": { - "description": "Required. The user-defined name of this batch.", + "stringValue": { + "description": "The string value of the metadata to store.", "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string", - "readOnly": true - }, - "output": { - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "readOnly": true - }, - "batchStats": { - "readOnly": true, - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats" - }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", - "type": "string" + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" }, - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "type": "string", - "readOnly": true, - "format": "google-datetime" + "numericValue": { + "description": "The numeric value of the metadata to store.", + "type": "number", + "format": "float" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" - }, - "state": { - "description": "Output only. The state of the batch.", - "type": "string", - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "readOnly": true, - "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." - ] - }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "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" } } }, - "FileSearch": { - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", "type": "object", "properties": { - "topK": { - "format": "int32", - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer" - }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", - "type": "string" - }, - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" } - } - } - }, - "Interval": { - "description": "Represents a time interval, encoded as a Timestamp start (inclusive) and a Timestamp end (exclusive). The start must be less than or equal to the end. When the start equals the end, the interval is empty (matches no time). When both start and end are unspecified, the interval matches any time.", - "type": "object", - "properties": { - "endTime": { - "format": "google-datetime", - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", + }, + "pageNumber": { + "description": "Optional. Page number of the retrieved context, if applicable.", + "type": "integer", + "format": "int32" + }, + "mediaId": { + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "type": "string" + }, + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" + }, + "title": { + "description": "Optional. Title of the document.", + "type": "string" + }, + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", "type": "string" }, - "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.", + "text": { + "description": "Optional. Text of the chunk.", "type": "string" } } }, - "CodeExecution": { - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", - "type": "object", - "properties": {} - }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", - "type": "object", - "properties": { - "file": { - "description": "Metadata for the created file.", - "$ref": "#/components/schemas/File" - } - } - }, - "UploadToFileSearchStoreRequest": { - "description": "Request for `UploadToFileSearchStore`.", + "PlaceAnswerSources": { + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "type": "object", "properties": { - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "customMetadata": { - "description": "Custom metadata to be associated with the data.", + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/ReviewSnippet" } - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" - }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" } } }, + "CodeExecution": { + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "type": "object", + "properties": {} + }, "ListCachedContentsResponse": { "description": "Response with CachedContents list.", "type": "object", "properties": { - "cachedContents": { - "description": "List of cached contents.", - "type": "array", - "items": { - "$ref": "#/components/schemas/CachedContent" - } - }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", "type": "string" + }, + "cachedContents": { + "items": { + "$ref": "#/components/schemas/CachedContent" + }, + "description": "List of cached contents.", + "type": "array" } } }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "type": "object", "properties": { - "values": { - "description": "The string values of the list.", - "type": "array", + "uris": { "items": { "type": "string" - } + }, + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", + "type": "array" } } }, - "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", + "BatchStats": { + "description": "Stats about the batch.", "type": "object", "properties": { - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" + "pendingRequestCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests that are still pending processing.", + "type": "string" }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" + "requestCount": { + "description": "Output only. The number of requests in the batch.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "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": { - "$ref": "#/components/schemas/FunctionDeclaration" - } + "failedRequestCount": { + "readOnly": true, + "format": "int64", + "description": "Output only. The number of requests that failed to be processed.", + "type": "string" }, - "computerUse": { - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", - "$ref": "#/components/schemas/ComputerUse" + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "type": "string", + "readOnly": true, + "format": "int64" + } + } + }, + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", + "type": "object", + "properties": { + "name": { + "readOnly": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string" }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" + "createTime": { + "description": "Output only. The time at which the batch was created.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", - "type": "array", - "items": { - "$ref": "#/components/schemas/McpServer" - } + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" + }, + "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." + ], + "description": "Output only. The state of the batch.", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "readOnly": true, + "type": "string" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true + }, + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats", + "readOnly": true + }, + "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" } } }, - "BatchGenerateContentRequest": { - "description": "Request for a `BatchGenerateContent` operation.", + "CreateFileRequest": { + "description": "Request for `CreateFile`.", "type": "object", "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/GenerateContentBatch" + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + } + }, + "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": { + "category": { + "type": "string", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "description": "Required. The category for this setting.", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ] + }, + "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.", + "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." + ] } } }, - "PlaceAnswerSources": { - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", "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", - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - } + "tokenId": { + "description": "The candidate\u2019s token id value.", + "type": "integer", + "format": "int32" + }, + "logProbability": { + "description": "The candidate's log probability.", + "type": "number", + "format": "float" + }, + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" } } }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "candidates": { - "description": "Sorted by log probability in descending order.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" + }, + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" } } }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", "type": "object", "properties": { - "responsesFile": { + "passageId": { "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "type": "string" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedResponses", - "readOnly": true + "partIndex": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "type": "integer", + "readOnly": true, + "format": "int32" } } }, - "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`.", + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", "type": "object", "properties": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "type": "object", - "additionalProperties": { - "description": "Properties of the object." - } + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" }, - "toolType": { + "state": { "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" ], + "description": "Output only. The state of the batch.", "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ], - "description": "Required. The type of tool that was called.", - "type": "string" - } - } - }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "type": "object", - "properties": { - "generatedFiles": { - "description": "The list of `GeneratedFile`s.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GeneratedFile" - } + "type": "string", + "readOnly": true }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", - "type": "string" - } - } - }, - "TuningExamples": { - "description": "A set of tuning examples. Can be training or validation data.", - "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.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TuningExample" - } - } - } - }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object", - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "type": "array", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - } - } - } - }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", - "type": "object", - "properties": { - "taskType": { - "description": "Optional. The task type of the embedding.", + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "type": "string", - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] + "readOnly": true }, - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "type": "string" }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "createTime": { + "description": "Output only. The time at which the batch was created.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "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" + "endTime": { + "description": "Output only. The time at which the batch processing completed.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" + "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" }, - "title": { - "description": "Optional. The title for the text.", + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" + }, + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput", + "readOnly": true + }, + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats", + "readOnly": true + } + } + }, + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", + "type": "object", + "properties": { + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/GenerateContentBatch" } } }, - "ExecutableCode": { - "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", "type": "object", "properties": { - "code": { - "description": "Required. The code to be executed.", - "type": "string" - }, - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" - }, - "language": { + "mode": { "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ], "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." ], - "description": "Required. Programming language of the `code`.", + "description": "The mode of the predictor to be used in dynamic retrieval.", "type": "string" + }, + "dynamicThreshold": { + "format": "float", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "type": "number" } } }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "type": "object", "properties": { - "uris": { - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", - "type": "array", + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + }, + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", + "properties": { + "requests": { + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "description": "Required. The requests to be processed in the batch.", + "type": "array" + } + } + }, + "ComputerUse": { + "description": "Computer Use tool type.", + "type": "object", + "properties": { + "excludedPredefinedFunctions": { "items": { "type": "string" - } + }, + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "type": "array" + }, + "enablePromptInjectionDetection": { + "description": "Optional. Whether enable the prompt injection detection check on computer-use request.", + "type": "boolean" + }, + "environment": { + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser.", + "Operates in a mobile environment.", + "Operates in a desktop environment." + ], + "description": "Required. The environment being operated.", + "type": "string", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER", + "ENVIRONMENT_MOBILE", + "ENVIRONMENT_DESKTOP" + ] + }, + "disabledSafetyPolicies": { + "items": { + "enum": [ + "SAFETY_POLICY_UNSPECIFIED", + "FINANCIAL_TRANSACTIONS", + "SENSITIVE_DATA_MODIFICATION", + "COMMUNICATION_TOOL", + "ACCOUNT_CREATION", + "DATA_MODIFICATION", + "USER_CONSENT_MANAGEMENT", + "LEGAL_TERMS_AND_AGREEMENTS" + ], + "type": "string", + "x-enum-descriptions": [ + "Unspecified safety policy.", + "Safety policy for financial transactions.", + "Safety policy for sensitive data modification.", + "Safety policy for communication tools (e.g. Gmail, Chat, Meet).", + "Safety policy for account creation.", + "Safety policy for data modification.", + "Safety policy for user consent management.", + "Safety policy for legal terms and agreements." + ] + }, + "description": "Optional. Disabled safety policies for computer use.", + "type": "array" } } }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "File": { + "description": "A file uploaded to the API. Next ID: 15", "type": "object", "properties": { - "embeddingModel": { - "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated.", "type": "string" }, - "activeDocumentsCount": { + "createTime": { + "description": "Output only. The timestamp of when the `File` was created.", + "type": "string", "readOnly": true, - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "type": "string" + "format": "google-datetime" }, - "sizeBytes": { + "expirationTime": { + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", + "type": "string", "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", - "type": "string" + "format": "google-datetime" }, - "name": { - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "mimeType": { + "description": "Output only. MIME type of the file.", + "type": "string", + "readOnly": true + }, + "downloadUri": { + "description": "Output only. The download uri of the `File`.", "type": "string", "readOnly": true }, + "videoMetadata": { + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata", + "readOnly": true + }, + "source": { + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "description": "Source of the File.", + "type": "string", + "x-enum-descriptions": [ + "Used if source is not specified.", + "Indicates the file is uploaded by the user.", + "Indicates the file is generated by Google.", + "Indicates the file is a registered, i.e. a Google Cloud Storage file." + ] + }, + "uri": { + "readOnly": true, + "description": "Output only. The uri of the `File`.", + "type": "string" + }, + "name": { + "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", + "type": "string" + }, "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\"", + "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" }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "state": { + "readOnly": true, + "type": "string", + "enum": [ + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], + "description": "Output only. Processing state of the File." + }, + "sizeBytes": { + "description": "Output only. Size of the file in bytes.", "type": "string", "readOnly": true, "format": "int64" }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "error": { + "readOnly": true, + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status" + }, + "sha256Hash": { + "description": "Output only. SHA-256 hash of the uploaded bytes.", "type": "string", "readOnly": true, - "format": "int64" + "format": "byte" + } + } + }, + "GroundingChunk": { + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", + "type": "object", + "properties": { + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + }, + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" + }, + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + }, + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" + } + } + }, + "CustomLongRunningOperation": { + "type": "object", + "properties": { + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "response": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object" + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", + "type": "boolean" }, - "createTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "type": "string" + "metadata": { + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object" } } }, - "Dataset": { - "description": "Dataset for training or validation.", + "TuningExample": { + "description": "A single example for tuning.", "type": "object", "properties": { - "examples": { - "description": "Optional. Inline examples with simple input/output text.", - "$ref": "#/components/schemas/TuningExamples" + "textInput": { + "description": "Optional. Text model input.", + "type": "string" + }, + "output": { + "description": "Required. The expected model output.", + "type": "string" } } }, - "GoogleSearchRetrieval": { - "description": "Tool to retrieve public web data for grounding, powered by Google.", + "Content": { + "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn.", "type": "object", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "parts": { + "items": { + "$ref": "#/components/schemas/Part" + }, + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "type": "array" + }, + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "type": "string" } } }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", "type": "object", "properties": { - "videoDuration": { - "format": "google-duration", - "description": "Duration of the video.", - "type": "string" + "tokenCount": { + "description": "Number of tokens.", + "type": "integer", + "format": "int32" + }, + "modality": { + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "description": "The modality associated with this token count.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ] } } }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "type": "object", - "properties": {} - }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "type": "object", "properties": { - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" - }, - "retrievalConfig": { - "description": "Optional. Retrieval config.", - "$ref": "#/components/schemas/RetrievalConfig" + "responsesFile": { + "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "type": "string" }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" + "inlinedResponses": { + "readOnly": true, + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", + "$ref": "#/components/schemas/InlinedEmbedContentResponses" } } }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", + "ToolResponse": { + "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`.", "type": "object", "properties": { - "models": { - "description": "The returned Models.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Model" - } - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "id": { + "description": "Optional. The identifier of the tool call this response is for.", "type": "string" + }, + "response": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool response.", + "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, matching the `tool_type` in the corresponding `ToolCall`.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ] } } }, - "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).", + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "type": "object", "properties": { - "code": { - "description": "The status code, which should be an enum value of google.rpc.Code.", - "type": "integer", - "format": "int32" + "promptTokenCount": { + "readOnly": true, + "format": "int32", + "description": "Output only. Number of tokens in the prompt.", + "type": "integer" }, - "details": { - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", "type": "array", + "readOnly": true, "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "$ref": "#/components/schemas/ModalityTokenCount" } - }, - "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" } } }, - "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": {} - }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", + "CountTokensRequest": { + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "type": "object", "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" + "contents": { + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } + }, + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } } }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", "type": "object", "properties": { - "startIndex": { - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", - "type": "integer", - "format": "int32" - }, - "partIndex": { - "format": "int32", - "description": "The index of a Part object within its parent Content object.", - "type": "integer" - }, - "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" + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "type": "string" }, - "text": { - "description": "The text corresponding to the segment from the response.", + "sizeBytes": { + "readOnly": true, + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document.", "type": "string" - } - } - }, - "GeneratedFile": { - "description": "A file generated on behalf of a user.", - "type": "object", - "properties": { + }, "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", "type": "string" }, "mimeType": { - "description": "MIME type of the generatedFile.", + "readOnly": true, + "description": "Output only. The mime type of the Document.", + "type": "string" + }, + "customMetadata": { + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + } + }, + "createTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created.", + "type": "string" + }, + "displayName": { + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", "type": "string" }, "state": { - "readOnly": true, + "description": "Output only. Current state of the `Document`.", "x-enum-descriptions": [ "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." ], - "description": "Output only. The state of the GeneratedFile.", - "type": "string", "enum": [ "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ] - }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" - } - } - }, - "EmbedContentResponse": { - "description": "The response to an `EmbedContentRequest`.", - "type": "object", - "properties": { - "embedding": { - "description": "Output only. The embedding generated from the input content.", - "$ref": "#/components/schemas/ContentEmbedding", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "type": "string", "readOnly": true - }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" - } - } - }, - "StringList": { - "description": "User provided string values assigned to a single metadata key.", - "type": "object", - "properties": { - "values": { - "description": "The string values of the metadata to store.", - "type": "array", - "items": { - "type": "string" - } } } }, - "FunctionDeclaration": { - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", + "ImageResponseFormat": { + "description": "Configuration for image output format.", "type": "object", "properties": { - "response": { - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", - "$ref": "#/components/schemas/Schema" - }, - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "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`." + "aspectRatio": { + "enum": [ + "ASPECT_RATIO_UNSPECIFIED", + "ASPECT_RATIO_ONE_BY_ONE", + "ASPECT_RATIO_TWO_BY_THREE", + "ASPECT_RATIO_THREE_BY_TWO", + "ASPECT_RATIO_THREE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_THREE", + "ASPECT_RATIO_FOUR_BY_FIVE", + "ASPECT_RATIO_FIVE_BY_FOUR", + "ASPECT_RATIO_NINE_BY_SIXTEEN", + "ASPECT_RATIO_SIXTEEN_BY_NINE", + "ASPECT_RATIO_TWENTY_ONE_BY_NINE", + "ASPECT_RATIO_ONE_BY_EIGHT", + "ASPECT_RATIO_EIGHT_BY_ONE", + "ASPECT_RATIO_ONE_BY_FOUR", + "ASPECT_RATIO_FOUR_BY_ONE" + ], + "description": "Optional. The aspect ratio for the image output.", + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "1:1 aspect ratio.", + "2:3 aspect ratio.", + "3:2 aspect ratio.", + "3:4 aspect ratio.", + "4:3 aspect ratio.", + "4:5 aspect ratio.", + "5:4 aspect ratio.", + "9:16 aspect ratio.", + "16:9 aspect ratio.", + "21:9 aspect ratio.", + "1:8 aspect ratio.", + "8:1 aspect ratio.", + "1:4 aspect ratio.", + "4:1 aspect ratio." + ] }, - "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.", + "imageSize": { + "enum": [ + "IMAGE_SIZE_UNSPECIFIED", + "IMAGE_SIZE_FIVE_TWELVE", + "IMAGE_SIZE_ONE_K", + "IMAGE_SIZE_TWO_K", + "IMAGE_SIZE_FOUR_K" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "512px image size.", + "1K image size.", + "2K image size.", + "4K image size." + ], + "description": "Optional. The size of the image output.", "type": "string" }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" + "delivery": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Image data is returned inline in the response.", + "Image data is returned as a URI." + ], + "description": "Optional. The delivery mode for the image output.", + "type": "string", + "enum": [ + "DELIVERY_UNSPECIFIED", + "INLINE", + "URI" + ] }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "mimeType": { + "description": "Optional. The MIME type of the image output.", "type": "string", "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." + "Default value. This value is unused.", + "JPEG image format." ], "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" + "MIME_TYPE_UNSPECIFIED", + "IMAGE_JPEG" ] - }, - "description": { - "description": "Required. A brief description of the function.", - "type": "string" } } }, - "Image": { - "description": "Chunk from image search.", + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "type": "object", "properties": { - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" - }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", - "type": "string" - }, - "sourceUri": { - "description": "The web page URI for attribution.", - "type": "string" + "models": { + "items": { + "$ref": "#/components/schemas/Model" + }, + "description": "The returned Models.", + "type": "array" }, - "imageUri": { - "description": "The image asset URL.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } } }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", "type": "object", "properties": { - "responsesFile": { - "readOnly": true, - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", "type": "string" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "readOnly": true + "code": { + "description": "Required. The code to be executed.", + "type": "string" + }, + "language": { + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "description": "Required. Programming language of the `code`.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ] } } }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "type": "object", "properties": { - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", "type": "string" }, - "tools": { - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Tool" - } - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" - }, - "systemInstruction": { - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", - "$ref": "#/components/schemas/Content" - }, - "safetySettings": { - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetySetting" - } - }, - "serviceTier": { + "outcome": { "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" ], "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." ], - "description": "Optional. The service tier of the request.", + "description": "Required. Outcome of the code execution.", + "type": "string" + }, + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" + } + } + }, + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", + "type": "object", + "properties": { + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", "type": "string" }, - "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.", + "topK": { + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer", + "format": "int32" + }, + "fileSearchStoreNames": { + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", "type": "array", "items": { - "$ref": "#/components/schemas/Content" + "type": "string" } + } + } + }, + "ResponseFormatConfig": { + "description": "Configuration for the response output format. This is a flat object where each optional sub-field configures a specific output modality.", + "type": "object", + "properties": { + "text": { + "description": "Optional. Text output format configuration.", + "$ref": "#/components/schemas/TextResponseFormat" }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", - "type": "string" - }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "image": { + "description": "Optional. Image output format configuration.", + "$ref": "#/components/schemas/ImageResponseFormat" }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" + "audio": { + "description": "Optional. Audio output format configuration.", + "$ref": "#/components/schemas/AudioResponseFormat" } } }, - "GroundingAttribution": { - "description": "Attribution for a source that contributed to an answer.", + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", "type": "object", "properties": { - "sourceId": { - "readOnly": true, - "description": "Output only. Identifier for the source contributing to this attribution.", - "$ref": "#/components/schemas/AttributionSourceId" - }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } } }, - "UrlContext": { - "description": "Tool to support URL context retrieval.", + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", "type": "object", - "properties": {} + "properties": { + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" + }, + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" + }, + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + } + } }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "type": "object", "properties": { - "documents": { - "description": "The returned `Document`s.", - "type": "array", + "permissions": { "items": { - "$ref": "#/components/schemas/Document" - } + "$ref": "#/components/schemas/Permission" + }, + "description": "Returned permissions.", + "type": "array" }, "nextPageToken": { "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", @@ -5867,121 +5896,210 @@ } } }, - "Web": { - "description": "Chunk from the web.", + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "type": "object", "properties": { - "uri": { - "description": "Output only. URI reference of the chunk.", - "type": "string", - "readOnly": true + "tunedModels": { + "description": "The returned Models.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TunedModel" + } }, - "title": { - "readOnly": true, - "description": "Output only. Title of the chunk.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", "type": "string" } } }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "type": "object", - "properties": {} + "properties": { + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" + }, + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" + } + } }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", "properties": { - "state": { + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "avgLogprobs": { + "description": "Output only. Average log probability score of the candidate.", + "type": "number", + "readOnly": true, + "format": "double" + }, + "citationMetadata": { + "readOnly": true, + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "$ref": "#/components/schemas/CitationMetadata" + }, + "logprobsResult": { + "readOnly": true, + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult" + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata", + "readOnly": true + }, + "content": { + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content", + "readOnly": true + }, + "finishMessage": { + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "type": "string", + "readOnly": true + }, + "finishReason": { + "type": "string", "readOnly": true, + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", "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." + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response.", + "Request was filtered by an escalation rule." ], - "description": "Output only. Current state of the `Document`.", - "type": "string", "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE", + "ESCALATION" ] }, - "sizeBytes": { + "groundingMetadata": { "readOnly": true, - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the Document.", - "type": "string" + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata" }, - "mimeType": { - "description": "Output only. The mime type of the Document.", - "type": "string", - "readOnly": true + "safetyRatings": { + "items": { + "$ref": "#/components/schemas/SafetyRating" + }, + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "type": "array" }, - "updateTime": { + "index": { "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "type": "string" + "format": "int32", + "description": "Output only. Index of the candidate in the list of response candidates.", + "type": "integer" }, - "createTime": { + "groundingAttributions": { "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was created.", - "type": "string" - }, - "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\"", + "items": { + "$ref": "#/components/schemas/GroundingAttribution" + }, + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "type": "array" + } + } + }, + "SearchEntryPoint": { + "description": "Google search entry point.", + "type": "object", + "properties": { + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", "type": "string" }, - "name": { - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", "type": "string" - }, - "customMetadata": { - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + } + } + }, + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", + "type": "object", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", "type": "array", + "readOnly": true, "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" } } } }, - "VideoMetadata": { - "deprecated": true, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "InlinedResponses": { + "description": "The responses to the requests in the batch.", "type": "object", "properties": { - "endOffset": { - "description": "Optional. The end offset of the video.", - "type": "string", - "format": "google-duration" - }, - "fps": { - "format": "double", - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number" - }, - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" + "inlinedResponses": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, + "description": "Output only. The responses to the requests in the batch.", + "type": "array" } } }, - "SpeakerVoiceConfig": { - "description": "The configuration for a single speaker in a multi speaker setup.", + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", "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.", - "$ref": "#/components/schemas/VoiceConfig" + "examples": { + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TuningExample" + } } } }, @@ -5989,167 +6107,133 @@ "description": "Tuning tasks that create tuned models.", "type": "object", "properties": { - "snapshots": { + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", + "type": "string", "readOnly": true, - "description": "Output only. Metrics collected during tuning.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TuningSnapshot" - } + "format": "google-datetime" }, - "startTime": { + "completeTime": { + "description": "Output only. The timestamp when tuning this model completed.", + "type": "string", "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model started.", - "type": "string" + "format": "google-datetime" }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "snapshots": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + }, + "description": "Output only. Metrics collected during tuning.", + "type": "array" }, "hyperparameters": { "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", "$ref": "#/components/schemas/Hyperparameters" }, - "completeTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model completed.", - "type": "string" + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" } } }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", "type": "object", "properties": { - "values": { - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array", - "items": { - "type": "number", - "format": "float" - } + "baseModel": { + "readOnly": true, + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "type": "string" }, - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "type": "array", - "items": { - "format": "int32", - "type": "integer" - } + "tunedModel": { + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "type": "string" } } }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", "type": "object", "properties": { - "operations": { - "description": "A list of operations that matches the specified filter in the request.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Operation" - } - }, - "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", + "embeddings": { + "readOnly": true, "items": { - "type": "string" - } + "$ref": "#/components/schemas/ContentEmbedding" + }, + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "type": "array" }, - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "readOnly": true } } }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "type": "object", "properties": { - "voiceConfig": { - "description": "The configuration in case of single-voice output.", - "$ref": "#/components/schemas/VoiceConfig" + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse", + "readOnly": true }, - "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" + "metadata": { + "description": "Output only. The metadata associated with the request.", + "type": "object", + "readOnly": true, + "additionalProperties": { + "description": "Properties of the object." + } } } }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", "type": "object", "properties": { - "urlMetadata": { - "description": "List of url context.", - "type": "array", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - } + "maxTokensPerChunk": { + "format": "int32", + "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "type": "integer" + }, + "maxOverlapTokens": { + "format": "int32", + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer" } } }, - "CustomLongRunningOperation": { + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "type": "object", "properties": { - "response": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "type": "object" - }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "citationSources": { + "items": { + "$ref": "#/components/schemas/CitationSource" }, - "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" - }, - "name": { - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", - "type": "string" - }, - "done": { - "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" + "description": "Citations to sources for a specific response.", + "type": "array" } } }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "ImageConfig": { + "description": "Config for image generation features.", "type": "object", "properties": { - "name": { - "readOnly": true, - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`", - "type": "string" - }, - "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\"", + "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" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "type": "string", - "readOnly": true, - "format": "google-datetime" - }, - "updateTime": { - "readOnly": true, - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "imageSize": { + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", "type": "string" } } @@ -6158,450 +6242,465 @@ "description": "Configures the input to the batch request.", "type": "object", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, "requests": { "description": "The requests to be processed in the batch.", "$ref": "#/components/schemas/InlinedRequests" + }, + "fileName": { + "description": "The name of the `File` containing the input requests.", + "type": "string" } } }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "Image": { + "description": "Chunk from image search.", "type": "object", "properties": { - "customMetadata": { - "description": "Optional. User-provided metadata about the retrieved context.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } + "imageUri": { + "description": "The image asset URL.", + "type": "string" }, - "pageNumber": { - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable.", - "type": "integer" + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" }, "title": { - "description": "Optional. Title of the document.", + "description": "The title of the web page that the image is from.", "type": "string" }, - "text": { - "description": "Optional. Text of the chunk.", + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", "type": "string" + } + } + }, + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "type": "object", + "properties": { + "readerProjectNumbers": { + "items": { + "type": "string", + "format": "int64" + }, + "description": "Optional. List of project numbers that have read access to the tuned model.", + "type": "array" }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "updateTime": { + "readOnly": true, + "format": "google-datetime", + "description": "Output only. The timestamp when this model was updated.", "type": "string" }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" + }, + "description": { + "description": "Optional. A short description of this model.", "type": "string" }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + "createTime": { + "description": "Output only. The timestamp when this model was created.", + "type": "string", + "readOnly": true, + "format": "google-datetime" + }, + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "type": "string" + }, + "state": { + "type": "string", + "readOnly": true, + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "description": "Output only. The state of the tuned model.", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ] + }, + "name": { + "readOnly": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "type": "string" + }, + "temperature": { + "format": "float", + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", + "type": "number" + }, + "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" + }, + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "topP": { + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "type": "number", + "format": "float" } } }, - "ListCorporaResponse": { - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", "type": "object", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - }, - "corpora": { - "description": "The returned corpora.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Corpus" - } + "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" } } }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", "properties": { - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "metadata": { + "description": "Output only. The metadata associated with the request.", + "type": "object", + "readOnly": true, + "additionalProperties": { + "description": "Properties of the object." + } }, - "title": { - "description": "Title of the review.", - "type": "string" + "error": { + "readOnly": true, + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status" }, - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse", + "readOnly": true } } }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` 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": { - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": { + "readOnly": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "type": "string" }, - "state": { - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ], - "description": "Output only. The state of the batch.", - "type": "string", + "updateTime": { "readOnly": true, - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ] + "format": "google-datetime", + "description": "Output only. When the cache entry was last updated in UTC time.", + "type": "string" }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", + "createTime": { + "description": "Output only. Creation time of the cache entry.", "type": "string", "readOnly": true, "format": "google-datetime" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" - }, "displayName": { - "description": "Required. The user-defined name of this batch.", + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "type": "string", - "readOnly": true + "tools": { + "items": { + "$ref": "#/components/schemas/Tool" + }, + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array" }, - "output": { - "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput" + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array" }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/BatchStats", - "readOnly": true + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "type": "string" }, - "createTime": { - "readOnly": true, + "expireTime": { "format": "google-datetime", - "description": "Output only. The time at which the batch was created.", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", "type": "string" }, - "updateTime": { + "usageMetadata": { "readOnly": true, - "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated.", + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata" + }, + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "ttl": { + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only.", "type": "string" + }, + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" } } }, - "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`.", + "Model": { + "description": "Information about a Generative Language Model.", "type": "object", "properties": { - "promptFeedback": { - "description": "Returns the prompt's feedback related to the content filters.", - "$ref": "#/components/schemas/PromptFeedback" + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", + "type": "integer", + "format": "int32" }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata" + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "responseId": { - "readOnly": true, - "description": "Output only. response_id is used to identify each response.", + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "type": "string", - "readOnly": true + "outputTokenLimit": { + "description": "Maximum number of output tokens available for this model.", + "type": "integer", + "format": "int32" }, - "candidates": { - "description": "Candidate responses from the model.", + "supportedGenerationMethods": { + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", "type": "array", "items": { - "$ref": "#/components/schemas/Candidate" + "type": "string" } }, - "modelStatus": { - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus", - "readOnly": true - } - } - }, - "InlinedEmbedContentRequest": { - "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" + "description": { + "description": "A short description of the model.", + "type": "string" }, - "metadata": { - "additionalProperties": { - "description": "Properties of the object." - }, - "description": "Optional. The metadata to be associated with the request.", - "type": "object" - } - } - }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "type": "object", - "properties": { - "presencePenalty": { + "topP": { "format": "float", - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "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" }, - "frequencyPenalty": { - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", - "type": "number", - "format": "float" - }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" - }, - "imageConfig": { - "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options.", - "$ref": "#/components/schemas/ImageConfig" - }, "topK": { - "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.", + "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" }, - "speechConfig": { - "description": "Optional. The speech generation config.", - "$ref": "#/components/schemas/SpeechConfig" - }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" - }, - "translationConfig": { - "description": "Optional. Config for translation.", - "$ref": "#/components/schemas/TranslationConfig" - }, "temperature": { - "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", - "type": "number", - "format": "float" - }, - "mediaResolution": { - "description": "Optional. If specified, the media resolution specified will be used.", - "type": "string", - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ] - }, - "maxOutputTokens": { - "format": "int32", - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "type": "integer" - }, - "responseFormat": { - "description": "Optional. Configuration for the response output format. Allows specifying output configuration per modality (text, audio, image) in a flat structure.", - "$ref": "#/components/schemas/ResponseFormatConfig" + "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" }, - "stopSequences": { - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "type": "array", - "items": { - "type": "string" - } + "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" }, - "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" + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" }, - "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.", + "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" }, - "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" + "maxTemperature": { + "format": "float", + "description": "The maximum temperature this model can use.", + "type": "number" + } + } + }, + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", + "type": "object", + "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" }, - "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.", + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" + } + } + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "type": "object", + "properties": { + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", "type": "array", "items": { - "type": "string", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ] + "$ref": "#/components/schemas/SpeakerVoiceConfig" } - }, - "seed": { - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", - "type": "integer" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "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" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "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" } } }, - "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.", + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object", "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$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" } } }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", "type": "object", "properties": { - "step": { - "description": "Output only. The tuning step.", - "type": "integer", + "updateTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", + "type": "string", + "readOnly": true, + "format": "google-datetime" + }, + "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" + }, + "failedDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "type": "string", "readOnly": true, - "format": "int32" + "format": "int64" }, - "meanLoss": { + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string", "readOnly": true, - "format": "float", - "description": "Output only. The mean loss of the training examples for this step.", - "type": "number" + "format": "google-datetime" }, - "epoch": { + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" + }, + "embeddingModel": { + "description": "Optional. The embedding model to use for the `FileSearchStore`. The model's resource name. This serves as an ID for the Model to use. Format: `models/{model}`. If not specified, the default embedding model will be used.", + "type": "string" + }, + "pendingDocumentsCount": { "readOnly": true, - "format": "int32", - "description": "Output only. The epoch this step was part of.", - "type": "integer" + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "type": "string" }, - "computeTime": { + "sizeBytes": { "readOnly": true, - "format": "google-datetime", - "description": "Output only. The timestamp when this metric was computed.", + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", "type": "string" + }, + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "type": "string", + "readOnly": true, + "format": "int64" } } }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "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": { - "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" - } - } + "properties": {} }, - "UrlMetadata": { - "description": "Context of the a single url retrieval.", + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", "type": "object", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", + "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" }, - "urlRetrievalStatus": { - "description": "Status of the url retrieval.", - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ] + "unreachable": { + "items": { + "type": "string" + }, + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array" } } }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", "type": "object", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } }, - "semanticRetrieverChunk": { - "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", - "$ref": "#/components/schemas/SemanticRetrieverChunk" + "webSearchQueries": { + "items": { + "type": "string" + }, + "description": "Web search queries for the following-up web search.", + "type": "array" + }, + "groundingChunks": { + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array" + }, + "googleMapsWidgetContextToken": { + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled.", + "type": "string" + }, + "groundingSupports": { + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "description": "List of grounding support.", + "type": "array" + }, + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" } } }, @@ -6609,319 +6708,220 @@ "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "type": "object", "properties": { + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" + }, "id": { "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", "type": "string" }, "args": { - "description": "Optional. The function parameters and values in JSON object format.", - "type": "object", "additionalProperties": { "description": "Properties of the object." - } - }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" + }, + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object" } } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "GeneratedFile": { + "description": "A file generated on behalf of a user.", "type": "object", "properties": { - "thoughtsTokenCount": { - "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens of thoughts for thinking models.", - "type": "integer" - }, - "toolUsePromptTokenCount": { - "readOnly": true, - "format": "int32", - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "type": "integer" - }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", - "type": "integer", - "format": "int32" - }, - "candidatesTokenCount": { - "description": "Total number of tokens across all the generated response candidates.", - "type": "integer", - "format": "int32" - }, - "promptTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were processed in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "candidatesTokensDetails": { - "readOnly": true, - "description": "Output only. List of modalities that were returned in the response.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "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" - }, - "toolUsePromptTokensDetails": { - "description": "Output only. List of modalities that were processed for tool-use request inputs.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" }, - "totalTokenCount": { - "format": "int32", - "description": "Total token count for the generation request (prompt + thoughts + response candidates).", - "type": "integer" + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" }, - "serviceTier": { + "state": { + "description": "Output only. The state of the GeneratedFile.", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" ], - "description": "Output only. Service tier of the request.", - "type": "string", - "readOnly": true, - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ] - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true - }, - "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", + "type": "string", "readOnly": true }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" } } }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", + "VoiceConfig": { + "description": "The configuration for the voice to use.", "type": "object", "properties": { - "taskType": { - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" + } + } + }, + "ToolCall": { + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", + "type": "object", + "properties": { + "toolType": { + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" ], - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", - "deprecated": true, + "description": "Required. The type of tool that was called.", "type": "string", - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." ] }, - "embedContentConfig": { - "description": "Optional. Configuration for the EmbedContent request.", - "$ref": "#/components/schemas/EmbedContentConfig" - }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" - }, - "model": { - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "type": "string" - }, - "outputDimensionality": { - "format": "int32", - "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" + "args": { + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object" }, - "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, + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", "type": "string" } } }, - "Model": { - "description": "Information about a Generative Language Model.", + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "type": "object", "properties": { - "description": { - "description": "A short description of the model.", - "type": "string" - }, - "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" - }, - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" + "promptTokensDetails": { + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array" }, - "inputTokenLimit": { + "totalTokens": { "format": "int32", - "description": "Maximum number of input tokens allowed for this model.", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "type": "integer" }, - "supportedGenerationMethods": { - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "cacheTokensDetails": { + "description": "Output only. List of modalities that were processed in the cached content.", "type": "array", + "readOnly": true, "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "temperature": { - "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", - "type": "number", - "format": "float" - }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", - "type": "string" - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" - }, - "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": { + "cachedContentTokenCount": { "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.", + "description": "Number of tokens in the cached part of the prompt (the cached content).", "type": "integer" - }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" - }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" } } }, - "LogprobsResult": { - "description": "Logprobs Result", + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", "type": "object", "properties": { - "topCandidates": { - "description": "Length = total number of decoding steps.", - "type": "array", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } + "sourceId": { + "readOnly": true, + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId" }, - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" + } + } + }, + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "chosenCandidates": { - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "type": "array", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." } } } }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" - }, - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "candidates": { + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + }, + "description": "Sorted by log probability in descending order.", + "type": "array" } } }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", "properties": { - "customMetadata": { - "description": "Custom metadata to be associated with the file.", - "type": "array", + "generatedFiles": { "items": { - "$ref": "#/components/schemas/CustomMetadata" - } - }, - "chunkingConfig": { - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", - "$ref": "#/components/schemas/ChunkingConfig" + "$ref": "#/components/schemas/GeneratedFile" + }, + "description": "The list of `GeneratedFile`s.", + "type": "array" }, - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", "type": "string" } } }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", "type": "object", "properties": { - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", + "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" }, - "maxOverlapTokens": { + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" + }, + "text": { + "description": "The text corresponding to the segment from the response.", + "type": "string" + }, + "startIndex": { "format": "int32", - "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", "type": "integer" } }