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 9906110f..3a308d8b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -397,23 +397,23 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// - /// - /// Stats about the batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// 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}`. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Stats about the batch. + /// + /// + /// Configures the input to the batch request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -421,23 +421,23 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? model = default, - string? priority = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, + string? displayName = default, + string? priority = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { - BatchStats = batchStats, - DisplayName = displayName, - InputConfig = inputConfig, Model = model, - Priority = priority, Output = output, + DisplayName = displayName, + Priority = priority, + BatchStats = batchStats, + InputConfig = inputConfig, }; 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 263bb718..74232534 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -397,11 +397,8 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// Configures the input to the batch request. /// /// /// Stats about the batch. @@ -409,11 +406,14 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -421,23 +421,23 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? priority = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.BatchStats? batchStats = default, string? model = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, string? displayName = default, - global::Google.Gemini.InputConfig? inputConfig = default, + string? priority = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { - Priority = priority, - Output = output, + InputConfig = inputConfig, BatchStats = batchStats, Model = model, + Output = output, DisplayName = displayName, - InputConfig = inputConfig, + 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 d198e5ac..ea767e74 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -380,8 +380,11 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Creates CachedContent resource. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. @@ -389,51 +392,48 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// 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. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( - global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + string? displayName = default, string? expireTime = default, string? model = default, - string? displayName = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = 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 { - SystemInstruction = systemInstruction, + Ttl = ttl, + DisplayName = displayName, ExpireTime = expireTime, Model = model, - DisplayName = displayName, - Contents = contents, - Ttl = ttl, UsageMetadata = usageMetadata, - ToolConfig = toolConfig, + Contents = contents, Tools = tools, + SystemInstruction = systemInstruction, + 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 4078320a..d811db89 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -397,8 +397,11 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. @@ -406,53 +409,50 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// 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. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + string? displayName = default, string? expireTime = default, string? model = default, - string? displayName = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = 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 { - SystemInstruction = systemInstruction, + Ttl = ttl, + DisplayName = displayName, ExpireTime = expireTime, Model = model, - DisplayName = displayName, - Contents = contents, - Ttl = ttl, UsageMetadata = usageMetadata, - ToolConfig = toolConfig, + Contents = contents, Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, }; return await CachedContentsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs index 58715185..61a7c63a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsCreate.g.cs @@ -390,28 +390,28 @@ partial void ProcessCorporaPermissionsCreateResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await CorporaPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs index 30c200a7..d104c54c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CorporaPermissionsPatch.g.cs @@ -407,12 +407,12 @@ partial void ProcessCorporaPermissionsPatchResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -421,16 +421,16 @@ partial void ProcessCorporaPermissionsPatchResponseContent( string corporaId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await CorporaPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs index 0ec9578e..06945328 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 c9f26e96..85fe3a71 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 374e9c56..f11f951e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs index 757e7fda..db815d27 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsEmbedContent.g.cs @@ -387,41 +387,41 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - /// - /// Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// /// /// Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// + /// Optional. 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`). + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - string? model = default, global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, - int? outputDimensionality = default, string? title = default, + string? model = default, + int? outputDimensionality = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { - Model = model, Content = content, TaskType = taskType, - OutputDimensionality = outputDimensionality, Title = title, + Model = model, + OutputDimensionality = outputDimensionality, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 329dac98..89f7caa6 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 ace2b09b..99cffd59 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 1a34aa05..8dbfa08e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 c1e52ce6..01bff5de 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs @@ -390,61 +390,61 @@ partial void ProcessTunedModelsCreateResponseContent( /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. A short description of this 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. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. A short description of this 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. /// /// 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, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? displayName = default, global::Google.Gemini.TuningTask? tuningTask = default, - string? baseModel = default, - float? temperature = default, + string? description = default, float? topP = default, + string? baseModel = default, + string? displayName = default, + int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopK = topK, - TunedModelSource = tunedModelSource, - DisplayName = displayName, TuningTask = tuningTask, - BaseModel = baseModel, - Temperature = temperature, + Description = description, TopP = topP, + BaseModel = baseModel, + DisplayName = displayName, + TopK = topK, ReaderProjectNumbers = readerProjectNumbers, - Description = description, + TunedModelSource = tunedModelSource, + Temperature = temperature, }; 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 bd1a74c8..3013aeb4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 a31c4526..8ad202fb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs @@ -397,32 +397,32 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. A short description of this 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. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. A short description of this 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -430,29 +430,29 @@ partial void ProcessTunedModelsPatchResponseContent( public async global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? displayName = default, global::Google.Gemini.TuningTask? tuningTask = default, - string? baseModel = default, - float? temperature = default, + string? description = default, float? topP = default, + string? baseModel = default, + string? displayName = default, + int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.TunedModel { - TopK = topK, - TunedModelSource = tunedModelSource, - DisplayName = displayName, TuningTask = tuningTask, - BaseModel = baseModel, - Temperature = temperature, + Description = description, TopP = topP, + BaseModel = baseModel, + DisplayName = displayName, + TopK = topK, ReaderProjectNumbers = readerProjectNumbers, - Description = description, + TunedModelSource = tunedModelSource, + Temperature = temperature, }; return await TunedModelsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs index d642bb75..00e6a37c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsCreate.g.cs @@ -390,28 +390,28 @@ partial void ProcessTunedModelsPermissionsCreateResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await TunedModelsPermissionsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs index 2669751e..03fa5f17 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPermissionsPatch.g.cs @@ -407,12 +407,12 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -421,16 +421,16 @@ partial void ProcessTunedModelsPermissionsPatchResponseContent( string permissionsId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - Role = role, EmailAddress = emailAddress, + Role = role, }; return await TunedModelsPermissionsPatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs index 39246a1b..3227dd63 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -387,66 +387,66 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 88096802..46792c40 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -360,66 +360,66 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { - ServiceTier = serviceTier, - ToolConfig = toolConfig, - Tools = tools, GenerationConfig = generationConfig, - SystemInstruction = systemInstruction, CachedContent = cachedContent, Model = model, + ServiceTier = serviceTier, + Store = store, Contents = contents, + Tools = tools, + SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Store = store, }; 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 1b668bbb..b18a4d97 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs @@ -25,23 +25,23 @@ public partial interface IGeminiClient /// /// /// - /// - /// Stats about the batch. + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// /// /// 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}`. - /// /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + /// Stats about the batch. + /// + /// + /// Configures the input to the batch request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -49,12 +49,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, - string? displayName = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? model = default, - string? priority = default, global::Google.Gemini.EmbedContentBatchOutput? output = default, + string? displayName = default, + string? priority = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index ac368edc..a0d750c1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -25,11 +25,8 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// Configures the input to the batch request. /// /// /// Stats about the batch. @@ -37,11 +34,14 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// /// /// Required. The user-defined name of this batch. /// - /// - /// Configures the input to the batch request. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -49,12 +49,12 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, - string? priority = default, - global::Google.Gemini.GenerateContentBatchOutput? output = default, + global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.BatchStats? batchStats = default, string? model = default, + global::Google.Gemini.GenerateContentBatchOutput? output = default, string? displayName = default, - global::Google.Gemini.InputConfig? inputConfig = 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 c34d2b38..1d059dd7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -19,8 +19,11 @@ public partial interface IGeminiClient /// /// Creates CachedContent resource. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. @@ -28,37 +31,34 @@ public partial interface IGeminiClient /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// 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. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( - global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + string? displayName = default, string? expireTime = default, string? model = default, - string? displayName = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = 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 c44c7863..164d6a5b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -25,8 +25,11 @@ public partial interface IGeminiClient /// /// /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Input only. New TTL for this resource, input only. + /// + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. @@ -34,39 +37,36 @@ public partial interface IGeminiClient /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// - /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// + /// Metadata on the usage of the cached content. /// /// /// Optional. Input only. Immutable. The content to cache. /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// 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. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - /// - /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsPatchAsync( string cachedContentsId, string? updateMask = default, - global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + string? displayName = default, string? expireTime = default, string? model = default, - string? displayName = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, - global::Google.Gemini.ToolConfig? toolConfig = default, + global::System.Collections.Generic.IList? contents = default, global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = 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.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index cea39376..92284c1b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CorporaPermissionsCreateAsync( string corporaId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs index e70aad7d..07ba825d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsPatch.g.cs @@ -31,12 +31,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -45,8 +45,8 @@ public partial interface IGeminiClient string corporaId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs index 7f66f440..d144000b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 37cecb85..3433302f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 ef078d18..45b74de0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index 995d174b..c974c562 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs @@ -22,31 +22,31 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - /// - /// Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// /// /// Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// + /// Optional. 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`). + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, - string? model = default, global::Google.Gemini.Content? content = default, global::Google.Gemini.EmbedContentRequestTaskType? taskType = default, - int? outputDimensionality = default, string? title = default, + string? model = default, + int? outputDimensionality = 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 8c56d1a5..e265d337 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 5ba278d9..3123f7fc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 322d042c..6af94af8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 760a1d48..4920478f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs @@ -22,47 +22,47 @@ public partial interface IGeminiClient /// Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222 /// /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. A short description of this 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. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. A short description of this 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. /// /// 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, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? displayName = default, global::Google.Gemini.TuningTask? tuningTask = default, - string? baseModel = default, - float? temperature = default, + string? description = default, float? topP = default, + string? baseModel = default, + string? displayName = default, + int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = 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 dd411aec..0405a967 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 56916d40..e86371ff 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// /// /// Tuning tasks that create tuned models. /// + /// + /// Optional. A short description of this 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. + /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - /// - /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. A short description of this 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. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsPatchAsync( string tunedModelsId, string? updateMask = default, - int? topK = default, - global::Google.Gemini.TunedModelSource? tunedModelSource = default, - string? displayName = default, global::Google.Gemini.TuningTask? tuningTask = default, - string? baseModel = default, - float? temperature = default, + string? description = default, float? topP = default, + string? baseModel = default, + string? displayName = default, + int? topK = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, - string? description = default, + global::Google.Gemini.TunedModelSource? tunedModelSource = default, + float? temperature = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index d2b3bb24..10d0529a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs @@ -25,20 +25,20 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsPermissionsCreateAsync( string tunedModelsId, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs index 9179736c..8cd25565 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsPatch.g.cs @@ -31,12 +31,12 @@ public partial interface IGeminiClient /// /// Optional. Immutable. The type of the grantee. /// - /// - /// Required. The role granted by this permission. - /// /// /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. /// + /// + /// Required. The role granted by this permission. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -45,8 +45,8 @@ public partial interface IGeminiClient string permissionsId, string? updateMask = default, global::Google.Gemini.PermissionGranteeType? granteeType = default, - global::Google.Gemini.PermissionRole? role = default, string? emailAddress = default, + global::Google.Gemini.PermissionRole? role = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs index 84f9e85f..b3aaf07f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContent.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = 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 aa307b5e..18296463 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs @@ -22,51 +22,51 @@ public partial interface IGeminiClient /// Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`. /// /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.ToolConfig? toolConfig = default, - global::System.Collections.Generic.IList? tools = default, global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.Content? systemInstruction = default, string? cachedContent = default, string? model = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, + bool? store = default, global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - bool? store = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.g.cs index e05018a0..87fad62e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.g.cs @@ -33,12 +33,12 @@ public partial interface IGeminiClient : global::System.IDisposable /// ensuring is populated. /// public bool ReadResponseAsString { get; set; } - /// /// Client-wide request defaults such as headers, query parameters, retries, and timeout. /// public global::Google.Gemini.AutoSDKClientOptions Options { get; } + /// /// /// 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 5bb14259..db0beb20 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,419 +13,419 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.UnixTimestampJsonConverter), })] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.JsonSerializerContextTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ChunkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.MultiSpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeakerVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + [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(string))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkCustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(int))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] + [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.ListOperationsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.File))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::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.ImageSearch))] + [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.ListPermissionsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Permission))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseBlob))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatus))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PlaceAnswerSources))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(double))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] - [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.ListCachedContentsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Maps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponses))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] - 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[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.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionCallingConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Document))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentResponses))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] 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[global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponsePart))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchState), TypeInfoPropertyName = "GenerateContentBatchState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentBatchOutput))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [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.UrlMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingPassageId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SemanticRetrieverChunk))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DocumentState), TypeInfoPropertyName = "DocumentState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] - [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.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VoiceConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListModelsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] - [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.ListPermissionsResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] [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.GroundingChunk))] - [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.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.VideoFileMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningTask))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Schema))] + [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.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] [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::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.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponses))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.GoogleSearchRetrieval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] + [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.UrlMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.McpServer))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StreamableHttpTransport))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResult))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionGranteeType), TypeInfoPropertyName = "PermissionGranteeType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PermissionRole), TypeInfoPropertyName = "PermissionRole2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecutionResultOutcome), TypeInfoPropertyName = "CodeExecutionResultOutcome2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LatLng))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Candidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CandidateFinishReason), TypeInfoPropertyName = "CandidateFinishReason2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclaration))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionDeclarationBehavior), TypeInfoPropertyName = "FunctionDeclarationBehavior2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponseScheduling), TypeInfoPropertyName = "FunctionResponseScheduling2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.Dictionary))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleMaps))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] + [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.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AsyncBatchEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCachedContentsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [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 5408ab4d..92c992f0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,1044 +28,1044 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.ChunkingConfig? Type0 { get; set; } + public global::Google.Gemini.GeneratedFile? Type0 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type1 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type1 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type2 { get; set; } + public string? Type2 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type3 { get; set; } + public global::Google.Gemini.Status? Type3 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type4 { get; set; } + public global::Google.Gemini.ToolConfig? Type4 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type5 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type5 { get; set; } /// /// /// - public string? Type6 { get; set; } + public bool? Type6 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type7 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type7 { get; set; } /// /// /// - public int? Type8 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type8 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type9 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type9 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type10 { get; set; } + public float? Type10 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type11 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type11 { get; set; } /// /// /// - public bool? Type12 { get; set; } + public int? Type12 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type13 { get; set; } + public global::System.Collections.Generic.IList? Type13 { get; set; } /// /// /// - public object? Type14 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type14 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type15 { get; set; } + public global::Google.Gemini.Maps? Type15 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type16 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type16 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type17 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type17 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type18 { get; set; } + public global::System.Collections.Generic.IList? Type18 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type19 { get; set; } + public global::Google.Gemini.Operation? Type19 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type20 { get; set; } + public global::System.Collections.Generic.IList? Type20 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type21 { get; set; } + public global::Google.Gemini.FileData? Type21 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type22 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type22 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type23 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type23 { get; set; } /// /// /// - public global::Google.Gemini.File? Type24 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type24 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type25 { get; set; } + public global::Google.Gemini.File? Type25 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type26 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type26 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type27 { get; set; } + public global::Google.Gemini.ImageSearch? Type27 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type28 { get; set; } + public global::Google.Gemini.InlinedRequests? Type28 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type29 { get; set; } + public global::System.Collections.Generic.IList? Type29 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type30 { get; set; } + public global::Google.Gemini.InlinedRequest? Type30 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type31 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type31 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type32 { get; set; } + public global::System.Collections.Generic.IList? Type32 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type33 { get; set; } + public global::Google.Gemini.Permission? Type33 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type34 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type34 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type35 { get; set; } + public byte[]? Type35 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type36 { get; set; } + public global::Google.Gemini.ModelStatus? Type36 { get; set; } /// /// /// - public float? Type37 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type37 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type38 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type38 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type39 { get; set; } + public global::System.Collections.Generic.IList? Type39 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type40 { get; set; } + public global::Google.Gemini.CustomMetadata? Type40 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type41 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type41 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type42 { get; set; } + public global::Google.Gemini.Part? Type42 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type43 { get; set; } + public global::Google.Gemini.ToolResponse? Type43 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type44 { get; set; } + public global::Google.Gemini.FunctionResponse? Type44 { get; set; } /// /// /// - public double? Type45 { get; set; } + public object? Type45 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type46 { get; set; } + public global::Google.Gemini.ToolCall? Type46 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type47 { get; set; } + public global::Google.Gemini.Blob? Type47 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type48 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type48 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type49 { get; set; } + public global::Google.Gemini.ExecutableCode? Type49 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type50 { get; set; } + public global::Google.Gemini.FunctionCall? Type50 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type51 { get; set; } + public global::Google.Gemini.VideoMetadata? Type51 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type52 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type52 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type53 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type53 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type54 { get; set; } + public global::Google.Gemini.Image? Type54 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type55 { get; set; } + public global::Google.Gemini.TunedModelSource? Type55 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type56 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type56 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type57 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type57 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type58 { get; set; } + public global::System.Collections.Generic.IList? Type58 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type59 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type59 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type60 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type60 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type61 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type61 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type62 { get; set; } + public global::Google.Gemini.LatLng? Type62 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type63 { get; set; } + public global::Google.Gemini.PromptFeedback? Type63 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type64 { get; set; } + public global::System.Collections.Generic.IList? Type64 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type65 { get; set; } + public global::Google.Gemini.SafetyRating? Type65 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type66 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type66 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type67 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type67 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type68 { get; set; } + public global::Google.Gemini.FileSearchStore? Type68 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type69 { get; set; } + public global::Google.Gemini.GroundingChunk? Type69 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type70 { get; set; } + public global::Google.Gemini.Web? Type70 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type71 { get; set; } + public global::Google.Gemini.RetrievedContext? Type71 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type72 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type72 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type73 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type73 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type74 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type74 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type75 { get; set; } + public global::Google.Gemini.SearchTypes? Type75 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type76 { get; set; } + public global::Google.Gemini.WebSearch? Type76 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type77 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type77 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type78 { get; set; } + public global::Google.Gemini.CodeExecution? Type78 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type79 { get; set; } + public global::Google.Gemini.GoogleSearch? Type79 { get; set; } /// /// /// - public byte[]? Type80 { get; set; } + public global::Google.Gemini.Interval? Type80 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type81 { get; set; } + public global::Google.Gemini.Document? Type81 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type82 { get; set; } + public global::Google.Gemini.DocumentState? Type82 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type83 { get; set; } + public global::Google.Gemini.CitationMetadata? Type83 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type85 { get; set; } + public global::Google.Gemini.CitationSource? Type85 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type86 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type86 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type87 { get; set; } + public global::System.Collections.Generic.IList? Type87 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type88 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type88 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type89 { get; set; } + public global::Google.Gemini.ImageConfig? Type89 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type90 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type90 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type91 { get; set; } + public global::Google.Gemini.Dataset? Type91 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type92 { get; set; } + public global::Google.Gemini.TuningExamples? Type92 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type93 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type93 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type94 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type94 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type95 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type95 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type96 { get; set; } + public global::System.Collections.Generic.IList? Type96 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type97 { get; set; } + public global::Google.Gemini.TuningExample? Type97 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type98 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type98 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type99 { get; set; } + public global::System.Collections.Generic.IList? Type99 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type100 { get; set; } + public global::Google.Gemini.StringList? Type100 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type101 { get; set; } + public global::Google.Gemini.Empty? Type101 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type102 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type102 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type103 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type103 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type104 { get; set; } + public global::System.Collections.Generic.IList? Type104 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type105 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type105 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type106 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type106 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type107 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type107 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type108 { get; set; } + public global::Google.Gemini.InputConfig? Type108 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type109 { get; set; } + public global::Google.Gemini.BatchStats? Type109 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type110 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type110 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type111 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type111 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type112 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type112 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type113 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type113 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type114 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type114 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type115 { get; set; } + public global::Google.Gemini.SafetySetting? Type115 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type116 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type116 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type117 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type117 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type118 { get; set; } + public global::Google.Gemini.VoiceConfig? Type118 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type119 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type119 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type120 { get; set; } + public global::System.Collections.Generic.IList? Type120 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type121 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type121 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type122 { get; set; } + public global::System.Collections.Generic.IList? Type122 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type123 { get; set; } + public global::Google.Gemini.Model? Type123 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type124 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type124 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type125 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type125 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type126 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type126 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type127 { get; set; } + public global::System.Collections.Generic.IList? Type127 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type128 { get; set; } + public global::Google.Gemini.Corpus? Type128 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type129 { get; set; } + public global::System.Collections.Generic.IList? Type129 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type130 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type130 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type131 { get; set; } + public global::Google.Gemini.GenerationConfig? Type131 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type132 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type132 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type133 { get; set; } + public global::System.Collections.Generic.IList? Type133 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type134 { get; set; } + public global::Google.Gemini.Content? Type134 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type135 { get; set; } + public global::System.Collections.Generic.IList? Type135 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type136 { get; set; } + public global::Google.Gemini.Tool? Type136 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type137 { get; set; } + public global::System.Collections.Generic.IList? Type137 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type138 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type138 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type139 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type139 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type140 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type140 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type141 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type141 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type142 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type142 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type143 { get; set; } + public global::Google.Gemini.SpeechConfig? Type143 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type144 { get; set; } + public global::Google.Gemini.FileState? Type144 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type145 { get; set; } + public global::Google.Gemini.FileSource? Type145 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type146 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type146 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type147 { get; set; } + public global::Google.Gemini.TuningTask? Type147 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type148 { get; set; } + public global::System.Collections.Generic.IList? Type148 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type149 { get; set; } + public global::Google.Gemini.Hyperparameters? Type149 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type150 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type150 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type151 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type151 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type152 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type152 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type153 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type153 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type154 { get; set; } + public global::Google.Gemini.Schema? Type154 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type156 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type156 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type157 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type157 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type158 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type158 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type159 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type159 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type160 { get; set; } + public global::System.Collections.Generic.IList? Type160 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type161 { get; set; } + public global::System.Collections.Generic.IList? Type161 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type162 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type162 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type163 { get; set; } + public global::Google.Gemini.InlinedResponses? Type163 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type164 { get; set; } + public global::System.Collections.Generic.IList? Type164 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type165 { get; set; } + public global::Google.Gemini.InlinedResponse? Type165 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type166 { get; set; } + public global::Google.Gemini.SchemaType? Type166 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type167 { get; set; } + public double? Type167 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type168 { get; set; } + public global::System.Collections.Generic.IList? Type168 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type169 { get; set; } + public global::System.Collections.Generic.Dictionary? Type169 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type170 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type170 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type171 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type171 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type172 { get; set; } + public global::Google.Gemini.UrlContext? Type172 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type173 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type173 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type174 { get; set; } + public global::System.Collections.Generic.IList? Type174 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type175 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type175 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type176 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type176 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type178 { get; set; } + public global::Google.Gemini.UrlMetadata? Type178 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type179 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type179 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type180 { get; set; } + public global::Google.Gemini.FileSearch? Type180 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type181 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type181 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type182 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type182 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type183 { get; set; } + public global::Google.Gemini.McpServer? Type183 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type184 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type184 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type185 { get; set; } + public global::Google.Gemini.LogprobsResult? Type185 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type186 { get; set; } + public global::System.Collections.Generic.IList? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::Google.Gemini.TopCandidates? Type187 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type188 { get; set; } + public global::System.Collections.Generic.IList? Type188 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type189 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type189 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type190 { get; set; } + public global::Google.Gemini.PermissionRole? Type190 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type191 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type191 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type193 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type193 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type194 { get; set; } + public global::Google.Gemini.TunedModel? Type194 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type195 { get; set; } + public global::Google.Gemini.TunedModelState? Type195 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type196 { get; set; } + public global::System.Collections.Generic.Dictionary? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::Google.Gemini.Candidate? Type197 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type198 { get; set; } + public global::System.Collections.Generic.IList? Type198 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type199 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type199 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type200 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type200 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type201 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type201 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type202 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type202 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type203 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type203 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type204 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type204 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type205 { get; set; } + public global::Google.Gemini.CachedContent? Type205 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type206 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type206 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type208 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type208 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type209 { get; set; } + public global::Google.Gemini.GoogleMaps? Type209 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type210 { get; set; } + public global::System.Collections.Generic.IList? Type210 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type211 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type211 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type212 { get; set; } + public global::System.Collections.Generic.IList? Type212 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type213 { get; set; } + public global::Google.Gemini.ComputerUse? Type213 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type214 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type214 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type215 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type215 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type216 { get; set; } + public global::System.Collections.Generic.IList? Type216 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type217 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type217 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type219 { get; set; } + public global::Google.Gemini.UsageMetadata? Type219 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type220 { get; set; } + public global::System.Collections.Generic.IList? Type220 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type221 { get; set; } + public global::System.Collections.Generic.IList? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type222 { get; set; } + public global::System.Collections.Generic.IList? Type222 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type223 { get; set; } + public global::System.Collections.Generic.IList? Type223 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type224 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type224 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type225 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type225 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type226 { get; set; } + public global::System.Collections.Generic.IList? Type226 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type228 { get; set; } + public global::System.Collections.Generic.IList? Type228 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type229 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type229 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type230 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type230 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type231 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type231 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type232 { get; set; } + public global::System.Collections.Generic.IList? Type232 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// @@ -1073,39 +1073,39 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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; } /// /// /// @@ -1117,26 +1117,26 @@ 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; } } } \ No newline at end of file diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.BatchStats.g.cs index 2c8d807d..8ae62c84 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class BatchStats { + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } + /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -22,13 +29,6 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] public string? SuccessfulRequestCount { get; set; } - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } - /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -45,6 +45,10 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -53,10 +57,6 @@ public sealed partial class BatchStats /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class BatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( + string? failedRequestCount, string? requestCount, string? successfulRequestCount, - string? failedRequestCount, string? pendingRequestCount) { + this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; - this.FailedRequestCount = failedRequestCount; this.PendingRequestCount = pendingRequestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 1bd0ad6d..38444bf9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -9,10 +9,23 @@ namespace Google.Gemini public sealed partial class CachedContent { /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] + public string? Ttl { get; set; } + + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { 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. Creation time of the cache entry.
@@ -27,6 +40,13 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("expireTime")] public string? ExpireTime { get; set; } + /// + /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` /// @@ -34,10 +54,10 @@ public sealed partial class CachedContent public string? Model { get; set; } /// - /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. + /// Metadata on the usage of the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } /// /// Optional. Input only. Immutable. The content to cache. @@ -46,30 +66,16 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Contents { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Input only. New TTL for this resource, input only. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } - - /// - /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
- /// Included only in responses + /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -77,12 +83,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] public global::Google.Gemini.ToolConfig? ToolConfig { 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; } - /// /// 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. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Input only. New TTL for this resource, input only. /// - /// - /// Output only. Creation time of the cache entry.
+ /// + /// Output only. When the cache entry was last updated in UTC time.
/// Included only in responses /// - /// - /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. - /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - /// - /// Optional. Input only. Immutable. The content to cache. - /// - /// - /// Output only. When the cache entry was last updated in UTC time.
+ /// + /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// Input only. New TTL for this resource, input only. + /// + /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// /// Metadata on the usage of the cached content. /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// 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( - global::Google.Gemini.Content? systemInstruction, + string? ttl, + string? updateTime, + string? displayName, string? createTime, string? expireTime, - string? model, - string? displayName, - global::System.Collections.Generic.IList? contents, - string? updateTime, - string? ttl, string? name, + string? model, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, - global::Google.Gemini.ToolConfig? toolConfig, - global::System.Collections.Generic.IList? tools) + global::System.Collections.Generic.IList? contents, + global::System.Collections.Generic.IList? tools, + global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.ToolConfig? toolConfig) { - this.SystemInstruction = systemInstruction; + this.Ttl = ttl; + this.UpdateTime = updateTime; + this.DisplayName = displayName; this.CreateTime = createTime; this.ExpireTime = expireTime; - this.Model = model; - this.DisplayName = displayName; - this.Contents = contents; - this.UpdateTime = updateTime; - this.Ttl = ttl; this.Name = name; + this.Model = model; this.UsageMetadata = usageMetadata; - this.ToolConfig = toolConfig; + this.Contents = contents; this.Tools = tools; + this.SystemInstruction = systemInstruction; + 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 32c05fd2..4df7ec7a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Candidate.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. @@ -21,12 +22,11 @@ public sealed partial class Candidate public global::System.Collections.Generic.IList? SafetyRatings { get; set; } /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] - public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] + public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } /// /// Output only. Average log probability score of the candidate.
@@ -35,19 +35,6 @@ public sealed partial class Candidate [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] public double? AvgLogprobs { get; set; } - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } - - /// - /// Metadata related to url context retrieval tool. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } - /// /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses @@ -55,6 +42,12 @@ public sealed partial class Candidate [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } + /// /// Output only. Token count for this candidate.
/// Included only in responses @@ -75,17 +68,24 @@ public sealed partial class Candidate public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// - /// Metadata returned to client when grounding is enabled. + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] - public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingAttributions")] - public global::System.Collections.Generic.IList? GroundingAttributions { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishReason")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter))] + public global::Google.Gemini.CandidateFinishReason? FinishReason { get; set; } + + /// + /// Metadata returned to client when grounding is enabled. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("groundingMetadata")] + public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -96,31 +96,28 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// /// /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// + /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// /// /// Output only. Average log probability score of the candidate.
/// Included only in responses /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses - /// - /// - /// 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. + /// /// /// Output only. Token count for this candidate.
/// Included only in responses @@ -131,42 +128,45 @@ public sealed partial class Candidate /// /// A collection of source attributions for a piece of content. /// - /// - /// Metadata returned to client when grounding is enabled. + /// + /// Metadata related to url context retrieval tool. /// - /// - /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// + /// + /// Metadata returned to client when grounding is enabled. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( - global::Google.Gemini.Content? content, + string? finishMessage, global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.CandidateFinishReason? finishReason, + global::System.Collections.Generic.IList? groundingAttributions, double? avgLogprobs, - string? finishMessage, - global::Google.Gemini.UrlContextMetadata? urlContextMetadata, int? index, + global::Google.Gemini.Content? content, int? tokenCount, global::Google.Gemini.LogprobsResult? logprobsResult, global::Google.Gemini.CitationMetadata? citationMetadata, - global::Google.Gemini.GroundingMetadata? groundingMetadata, - global::System.Collections.Generic.IList? groundingAttributions) + global::Google.Gemini.UrlContextMetadata? urlContextMetadata, + global::Google.Gemini.CandidateFinishReason? finishReason, + global::Google.Gemini.GroundingMetadata? groundingMetadata) { - this.Content = content; + this.FinishMessage = finishMessage; this.SafetyRatings = safetyRatings; - this.FinishReason = finishReason; + this.GroundingAttributions = groundingAttributions; this.AvgLogprobs = avgLogprobs; - this.FinishMessage = finishMessage; - this.UrlContextMetadata = urlContextMetadata; this.Index = index; + this.Content = content; this.TokenCount = tokenCount; this.LogprobsResult = logprobsResult; this.CitationMetadata = citationMetadata; + this.UrlContextMetadata = urlContextMetadata; + this.FinishReason = finishReason; this.GroundingMetadata = groundingMetadata; - 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 44bb9760..321333a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class CitationSource { - /// - /// Optional. URI that is attributed as a source for a portion of the text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } - /// /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. /// @@ -26,6 +20,12 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] public int? StartIndex { get; set; } + /// + /// Optional. URI that is attributed as a source for a portion of the text. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } + /// /// Optional. End of the attributed segment, exclusive. /// @@ -41,15 +41,15 @@ public sealed partial class CitationSource /// /// Initializes a new instance of the class. /// - /// - /// 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. URI that is attributed as a source for a portion of the text. + /// /// /// Optional. End of the attributed segment, exclusive. /// @@ -57,14 +57,14 @@ public sealed partial class CitationSource [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( - string? uri, string? license, int? startIndex, + string? uri, int? endIndex) { - this.Uri = uri; this.License = license; this.StartIndex = startIndex; + this.Uri = uri; this.EndIndex = endIndex; } 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 391e4a13..ee375068 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. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] - public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } - /// /// Required. The environment being operated. /// @@ -21,6 +15,12 @@ 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. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("excludedPredefinedFunctions")] + public global::System.Collections.Generic.IList? ExcludedPredefinedFunctions { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ComputerUse /// /// Initializes a new instance of the class. /// - /// - /// Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions. - /// /// /// Required. The environment being operated. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ComputerUse( - global::System.Collections.Generic.IList? excludedPredefinedFunctions, - global::Google.Gemini.ComputerUseEnvironment? environment) + global::Google.Gemini.ComputerUseEnvironment? environment, + global::System.Collections.Generic.IList? excludedPredefinedFunctions) { - this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; this.Environment = environment; + this.ExcludedPredefinedFunctions = excludedPredefinedFunctions; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs index 37c75a47..2c1f1bec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Content.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Content { - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } - /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// [global::System.Text.Json.Serialization.JsonPropertyName("role")] public string? Role { get; set; } + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Content /// /// Initializes a new instance of the class. /// - /// - /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. - /// /// /// Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset. /// + /// + /// Ordered `Parts` that constitute a single message. Parts may have different MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Content( - global::System.Collections.Generic.IList? parts, - string? role) + string? role, + global::System.Collections.Generic.IList? parts) { - this.Parts = parts; this.Role = role; + this.Parts = parts; } /// 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 32abe705..e1753f14 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ContentEmbedding.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ContentEmbedding { - /// - /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("shape")] - public global::System.Collections.Generic.IList? Shape { get; set; } - /// /// The embedding values. This is for 3P users only and will not be populated for 1P calls. /// [global::System.Text.Json.Serialization.JsonPropertyName("values")] public global::System.Collections.Generic.IList? Values { get; set; } + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("shape")] + public global::System.Collections.Generic.IList? Shape { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ContentEmbedding /// /// Initializes a new instance of the class. /// - /// - /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). - /// /// /// The embedding values. This is for 3P users only and will not be populated for 1P calls. /// + /// + /// This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ContentEmbedding( - global::System.Collections.Generic.IList? shape, - global::System.Collections.Generic.IList? values) + global::System.Collections.Generic.IList? values, + global::System.Collections.Generic.IList? shape) { - this.Shape = shape; this.Values = values; + this.Shape = shape; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs index 3c156019..8cea29e5 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Corpus.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Corpus { - /// - /// Output only. The Timestamp of when the `Corpus` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses @@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,10 +44,6 @@ public sealed partial class Corpus /// /// Initializes a new instance of the class. /// - /// - /// 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 @@ -59,19 +55,23 @@ 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 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? createTime, string? updateTime, string? name, - string? displayName) + string? displayName, + string? createTime) { - this.CreateTime = createTime; this.UpdateTime = updateTime; this.Name = name; this.DisplayName = displayName; + 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 ad3760ed..387bd46b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CountTokensResponse { + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] + public int? TotalTokens { get; set; } + /// /// Number of tokens in the cached part of the prompt (the cached content). /// @@ -28,12 +34,6 @@ public sealed partial class CountTokensResponse [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokens")] - public int? TotalTokens { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,6 +43,9 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// /// /// Number of tokens in the cached part of the prompt (the cached content). /// @@ -54,22 +57,19 @@ public sealed partial class CountTokensResponse /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( + int? totalTokens, int? cachedContentTokenCount, global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, - int? totalTokens) + global::System.Collections.Generic.IList? cacheTokensDetails) { + this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; - this.TotalTokens = totalTokens; } /// 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 5730b8ee..1dddc434 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class CustomLongRunningOperation { /// - /// 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 server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. @@ -21,22 +21,22 @@ public sealed partial class CustomLongRunningOperation public string? Name { get; set; } /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// 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("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } /// /// 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. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// The `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. + /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// /// /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - object? metadata, - string? name, global::Google.Gemini.Status? error, - object? response, - bool? done) + string? name, + bool? done, + object? metadata, + object? response) { - this.Metadata = metadata; - this.Name = name; this.Error = error; - this.Response = response; + this.Name = name; this.Done = done; + this.Metadata = metadata; + this.Response = response; } /// 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 7daa08fa..7d6e2dc7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class CustomMetadata { /// - /// The string value of the metadata to store. + /// User provided string values assigned to a single metadata key. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] + public global::Google.Gemini.StringList? StringListValue { get; set; } /// - /// The numeric value of the metadata to store. + /// The string value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] - public float? NumericValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } /// /// Required. The key of the metadata to store. @@ -27,10 +27,10 @@ public sealed partial class CustomMetadata public string? Key { get; set; } /// - /// User provided string values assigned to a single metadata key. + /// The numeric value of the metadata to store. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringListValue")] - public global::Google.Gemini.StringList? StringListValue { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] + public float? NumericValue { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class CustomMetadata /// /// Initializes a new instance of the class. /// + /// + /// User provided string values assigned to a single metadata key. + /// /// /// The string value of the metadata to store. /// - /// - /// The numeric value of the metadata to store. - /// /// /// Required. The key of the metadata to store. /// - /// - /// User provided string values assigned to a single metadata key. + /// + /// The numeric value of the metadata to store. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( + global::Google.Gemini.StringList? stringListValue, string? stringValue, - float? numericValue, string? key, - global::Google.Gemini.StringList? stringListValue) + float? numericValue) { + this.StringListValue = stringListValue; this.StringValue = stringValue; - this.NumericValue = numericValue; this.Key = key; - this.StringListValue = stringListValue; + this.NumericValue = numericValue; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Document.g.cs index ba72f5d7..83488b5a 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 @@ -16,11 +16,16 @@ public sealed partial class Document public string? SizeBytes { get; set; } /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } /// /// Output only. The Timestamp of when the `Document` was created.
@@ -30,11 +35,11 @@ public sealed partial class Document public string? CreateTime { get; set; } /// - /// Output only. The mime type of the Document.
+ /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Output only. Current state of the `Document`.
@@ -51,16 +56,11 @@ public sealed partial class Document public string? Name { get; set; } /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - - /// - /// 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 mime type 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("mimeType")] + public string? MimeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -75,16 +75,18 @@ public sealed partial class Document /// Output only. The size of raw bytes ingested into the Document.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// + /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + /// + /// 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.
/// Included only in responses /// - /// - /// Output only. The mime type of the Document.
+ /// + /// Output only. The Timestamp of when the `Document` was last updated.
/// Included only in responses /// /// @@ -94,33 +96,31 @@ public sealed partial class Document /// /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" - /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// Output only. The mime type of the Document.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( string? sizeBytes, - string? updateTime, + string? displayName, + global::System.Collections.Generic.IList? customMetadata, string? createTime, - string? mimeType, + string? updateTime, global::Google.Gemini.DocumentState? state, string? name, - string? displayName, - global::System.Collections.Generic.IList? customMetadata) + string? mimeType) { this.SizeBytes = sizeBytes; - this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.CreateTime = createTime; - this.MimeType = mimeType; + this.UpdateTime = updateTime; this.State = state; this.Name = name; - this.DisplayName = displayName; - this.CustomMetadata = customMetadata; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index a57fba7a..26462678 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -15,12 +21,6 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The mode of the predictor to be used in dynamic retrieval. - /// /// /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. /// + /// + /// The mode of the predictor to be used in dynamic retrieval. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - global::Google.Gemini.DynamicRetrievalConfigMode? mode, - float? dynamicThreshold) + float? dynamicThreshold, + global::Google.Gemini.DynamicRetrievalConfigMode? mode) { - this.Mode = mode; this.DynamicThreshold = dynamicThreshold; + this.Mode = mode; } /// 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 b4f341e4..d2f1bc1e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs @@ -9,35 +9,36 @@ namespace Google.Gemini public sealed partial class EmbedContentBatch { /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// - /// Stats about the batch. + /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Required. The user-defined name of this batch. + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The time at which the batch was created.
@@ -46,26 +47,12 @@ public sealed partial class EmbedContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { get; set; } - /// - /// Output only. The time at which the batch processing completed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { get; set; } - /// /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// [global::System.Text.Json.Serialization.JsonPropertyName("priority")] public string? Priority { get; set; } - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Output only. The state of the batch.
/// Included only in responses @@ -75,10 +62,23 @@ public sealed partial class EmbedContentBatch 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. The time at which the batch processing completed.
+ /// 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("endTime")] + public string? EndTime { get; set; } + + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// + /// + /// 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 + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Stats about the batch. - /// /// /// 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}`. - /// /// /// 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. /// - /// - /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
- /// Included only in responses - /// /// /// 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. + /// + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses + /// + /// + /// Stats about the batch. + /// + /// + /// Configures the input to the batch request. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( + string? model, + string? name, + global::Google.Gemini.EmbedContentBatchOutput? output, string? updateTime, - global::Google.Gemini.EmbedContentBatchStats? batchStats, string? displayName, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, - string? model, string? createTime, - string? endTime, string? priority, - string? name, global::Google.Gemini.EmbedContentBatchState? state, - global::Google.Gemini.EmbedContentBatchOutput? output) + string? endTime, + global::Google.Gemini.EmbedContentBatchStats? batchStats, + global::Google.Gemini.InputEmbedContentConfig? inputConfig) { + this.Model = model; + this.Name = name; + this.Output = output; this.UpdateTime = updateTime; - this.BatchStats = batchStats; this.DisplayName = displayName; - this.InputConfig = inputConfig; - this.Model = model; this.CreateTime = createTime; - this.EndTime = endTime; this.Priority = priority; - this.Name = name; this.State = state; - this.Output = output; + this.EndTime = endTime; + this.BatchStats = batchStats; + this.InputConfig = inputConfig; } /// 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 d69ec48e..6fe044e2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatchStats.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatchStats { + /// + /// Output only. The number of requests that failed to be processed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] + public string? FailedRequestCount { get; set; } + /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -22,13 +29,6 @@ public sealed partial class EmbedContentBatchStats [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] public string? SuccessfulRequestCount { get; set; } - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedRequestCount")] - public string? FailedRequestCount { get; set; } - /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -45,6 +45,10 @@ 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 @@ -53,10 +57,6 @@ public sealed partial class EmbedContentBatchStats /// Output only. The number of requests that were successfully processed.
/// Included only in responses /// - /// - /// Output only. The number of requests that failed to be processed.
- /// Included only in responses - /// /// /// Output only. The number of requests that are still pending processing.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class EmbedContentBatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatchStats( + string? failedRequestCount, string? requestCount, string? successfulRequestCount, - string? failedRequestCount, string? pendingRequestCount) { + this.FailedRequestCount = failedRequestCount; this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; - this.FailedRequestCount = failedRequestCount; this.PendingRequestCount = pendingRequestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index e3c9e2e4..8aa7f147 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class EmbedContentRequest { - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// @@ -27,18 +21,24 @@ public sealed partial class EmbedContentRequest [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter))] public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } - /// - /// Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] - public int? OutputDimensionality { get; set; } - /// /// Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. /// [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// Optional. 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")] + public int? OutputDimensionality { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -48,36 +48,36 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). /// - /// - /// Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). - /// /// /// Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. /// + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + /// + /// Optional. 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`). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( - string? model, global::Google.Gemini.Content? content, global::Google.Gemini.EmbedContentRequestTaskType? taskType, - int? outputDimensionality, - string? title) + string? title, + string? model, + int? outputDimensionality) { - this.Model = model; this.Content = content; this.TaskType = taskType; - this.OutputDimensionality = outputDimensionality; this.Title = title; + this.Model = model; + this.OutputDimensionality = outputDimensionality; } /// 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 f669bb98..4e14fd9e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.File.g.cs @@ -9,31 +9,26 @@ namespace Google.Gemini public sealed partial class File { /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Output only. Processing state of the File.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] - public global::Google.Gemini.FileState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Metadata for a video `File`. + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] - public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// - /// Output only. MIME type of the file.
+ /// Output only. Processing state of the File.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// /// Output only. SHA-256 hash of the uploaded bytes.
@@ -49,11 +44,11 @@ public sealed partial class File public string? DisplayName { get; set; } /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Source of the File. @@ -63,18 +58,29 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. The download uri of the `File`.
- /// Included only in responses + /// Metadata for a video `File`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// 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; } + + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + + /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// /// Output only. The timestamp of when the `File` was last updated.
@@ -91,17 +97,11 @@ public sealed partial class File public string? Uri { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. MIME type of the file.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,18 +112,16 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// - /// - /// Metadata for a video `File`. + /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// Included only in responses /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. Processing state of the File.
/// Included only in responses /// /// @@ -133,21 +131,26 @@ public sealed partial class File /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// /// /// Source of the File. /// + /// + /// Metadata for a video `File`. + /// + /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// /// /// Output only. The download uri of the `File`.
/// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
- /// Included only in responses - /// /// /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses @@ -156,46 +159,43 @@ public sealed partial class File /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? name, + string? sizeBytes, + string? expirationTime, global::Google.Gemini.FileState? state, - global::Google.Gemini.VideoFileMetadata? videoMetadata, - string? mimeType, byte[]? sha256Hash, string? displayName, - string? expirationTime, + string? createTime, global::Google.Gemini.FileSource? source, + global::Google.Gemini.VideoFileMetadata? videoMetadata, + string? name, + global::Google.Gemini.Status? error, string? downloadUri, - string? sizeBytes, string? updateTime, string? uri, - string? createTime, - global::Google.Gemini.Status? error) + string? mimeType) { - this.Name = name; + this.SizeBytes = sizeBytes; + this.ExpirationTime = expirationTime; this.State = state; - this.VideoMetadata = videoMetadata; - this.MimeType = mimeType; this.Sha256Hash = sha256Hash; this.DisplayName = displayName; - this.ExpirationTime = expirationTime; + this.CreateTime = createTime; this.Source = source; + this.VideoMetadata = videoMetadata; + this.Name = name; + this.Error = error; this.DownloadUri = downloadUri; - this.SizeBytes = sizeBytes; this.UpdateTime = updateTime; this.Uri = uri; - this.CreateTime = createTime; - this.Error = error; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FileSearch.g.cs index c1f5a404..4f1999e3 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 @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class FileSearch { /// - /// Optional. The number of semantic retrieval chunks to retrieve. + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] + public string? MetadataFilter { get; set; } /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` @@ -21,10 +21,10 @@ public sealed partial class FileSearch public global::System.Collections.Generic.IList? FileSearchStoreNames { get; set; } /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// Optional. The number of semantic retrieval chunks to retrieve. /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadataFilter")] - public string? MetadataFilter { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class FileSearch /// /// Initializes a new instance of the class. /// - /// - /// Optional. The number of semantic retrieval chunks to retrieve. + /// + /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. /// /// /// Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123` /// - /// - /// Optional. Metadata filter to apply to the semantic retrieval documents and chunks. + /// + /// Optional. The number of semantic retrieval chunks to retrieve. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearch( - int? topK, + string? metadataFilter, global::System.Collections.Generic.IList? fileSearchStoreNames, - string? metadataFilter) + int? topK) { - this.TopK = topK; - this.FileSearchStoreNames = fileSearchStoreNames; this.MetadataFilter = metadataFilter; + this.FileSearchStoreNames = fileSearchStoreNames; + this.TopK = topK; } /// 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 d7b480ba..99ab2c6b 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 @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// 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. 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("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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 last updated.
@@ -29,13 +29,6 @@ public sealed partial class FileSearchStore [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses @@ -44,24 +37,31 @@ public sealed partial class FileSearchStore public string? ActiveDocumentsCount { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// 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" + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// 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("pendingDocumentsCount")] - public string? PendingDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -72,58 +72,58 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// - /// - /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
+ /// + /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// 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 /// /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses - /// /// /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
- /// Included only in responses - /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// + /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Included only in responses + /// + /// + /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Included only in responses + /// + /// + /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( - string? sizeBytes, - string? failedDocumentsCount, + string? name, + string? pendingDocumentsCount, string? updateTime, - string? createTime, string? activeDocumentsCount, - string? name, string? displayName, - string? pendingDocumentsCount) + string? createTime, + string? failedDocumentsCount, + string? sizeBytes) { - this.SizeBytes = sizeBytes; - this.FailedDocumentsCount = failedDocumentsCount; + this.Name = name; + this.PendingDocumentsCount = pendingDocumentsCount; this.UpdateTime = updateTime; - this.CreateTime = createTime; this.ActiveDocumentsCount = activeDocumentsCount; - this.Name = name; this.DisplayName = displayName; - this.PendingDocumentsCount = pendingDocumentsCount; + this.CreateTime = createTime; + this.FailedDocumentsCount = failedDocumentsCount; + this.SizeBytes = sizeBytes; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs index 310f34cc..461b1947 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 @@ -9,10 +9,10 @@ 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. + /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Optional. The function parameters and values in JSON object format. @@ -21,10 +21,10 @@ public sealed partial class FunctionCall public object? Args { get; set; } /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// 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. /// - /// - /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? name, + string? id, object? args, - string? id) + string? name) { - this.Name = name; - this.Args = args; 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 7a5b93f3..1c760f4f 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 @@ -14,6 +14,12 @@ public sealed partial class FunctionDeclaration [global::System.Text.Json.Serialization.JsonPropertyName("parametersJsonSchema")] public object? ParametersJsonSchema { get; set; } + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } + /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// @@ -22,16 +28,10 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } /// - /// Required. A brief description of the function. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } - - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). @@ -40,16 +40,16 @@ public sealed partial class FunctionDeclaration public global::Google.Gemini.Schema? Parameters { 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; } /// - /// 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). /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -63,43 +63,43 @@ public sealed partial class FunctionDeclaration /// /// Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { "type": "object", "properties": { "name": { "type": "string" }, "age": { "type": "integer" } }, "additionalProperties": false, "required": ["name", "age"], "propertyOrdering": ["name", "age"] } ``` This field is mutually exclusive with `parameters`. /// + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. + /// /// /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - /// - /// Required. A brief description of the function. - /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Optional. Describes the 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. /// - /// - /// 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). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( object? parametersJsonSchema, + object? responseJsonSchema, global::Google.Gemini.FunctionDeclarationBehavior? behavior, - string? description, - global::Google.Gemini.Schema? response, + string? name, global::Google.Gemini.Schema? parameters, - object? responseJsonSchema, - string? name) + string? description, + global::Google.Gemini.Schema? response) { this.ParametersJsonSchema = parametersJsonSchema; + this.ResponseJsonSchema = responseJsonSchema; this.Behavior = behavior; + this.Name = name; + this.Parameters = parameters; this.Description = description; this.Response = response; - this.Parameters = parameters; - this.ResponseJsonSchema = responseJsonSchema; - this.Name = name; } /// 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 641c0133..416dec7e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -14,24 +14,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } - /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - /// /// 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`. /// @@ -45,6 +33,18 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter))] public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("parts")] + public global::System.Collections.Generic.IList? Parts { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -57,38 +57,38 @@ public sealed partial class FunctionResponse /// /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. - /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// - /// - /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. - /// /// /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// /// /// Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE. /// + /// + /// Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. "output", "result", etc. In particular, if the function call failed to execute, the response can have an "error" key to return error details to the model. + /// + /// + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionResponse( string? name, - global::System.Collections.Generic.IList? parts, string? id, - object? response, bool? willContinue, - global::Google.Gemini.FunctionResponseScheduling? scheduling) + global::Google.Gemini.FunctionResponseScheduling? scheduling, + object? response, + global::System.Collections.Generic.IList? parts) { this.Name = name; - this.Parts = parts; this.Id = id; - this.Response = response; this.WillContinue = willContinue; this.Scheduling = scheduling; + this.Response = response; + this.Parts = parts; } /// 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 7c5a5d17..5abdbab1 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 +9,37 @@ namespace Google.Gemini public sealed partial class GenerateContentBatch { /// - /// Output only. The time at which the batch processing completed.
+ /// Output only. The state of the batch.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] - public string? EndTime { 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; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The time at which the batch processing completed.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Output only. The state of the batch.
- /// Included only in responses + /// Stats about the batch. /// - [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("batchStats")] + public global::Google.Gemini.BatchStats? BatchStats { get; set; } + + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
@@ -43,17 +49,16 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// - /// Stats about the batch. + /// Required. The user-defined name of this batch. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.BatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The time at which the batch was created.
@@ -63,22 +68,17 @@ public sealed partial class GenerateContentBatch public string? CreateTime { get; set; } /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } - - /// - /// Required. The user-defined name of this batch. + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// - /// Configures the input to the batch request. + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,71 +89,71 @@ public sealed partial class GenerateContentBatch /// /// Initializes a new instance of the class. /// + /// + /// Output only. The state of the batch.
+ /// Included only in responses + /// + /// + /// Configures the input to the batch request. + /// /// /// 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. - /// - /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// Stats about the batch. /// - /// - /// Output only. The state of the batch.
- /// Included only in responses + /// + /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses /// - /// - /// Output only. The time at which the batch was last updated.
- /// Included only in responses + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Stats about the batch. + /// + /// Required. The user-defined name of this batch. /// /// /// Output only. The time at which the batch was created.
/// Included only in responses /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Required. The user-defined name of this batch. + /// + /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. /// - /// - /// Configures the input to the batch request. + /// + /// Output only. The time at which the batch was last updated.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( - string? endTime, - string? priority, - global::Google.Gemini.GenerateContentBatchOutput? output, global::Google.Gemini.GenerateContentBatchState? state, - string? name, - string? updateTime, + global::Google.Gemini.InputConfig? inputConfig, + string? endTime, global::Google.Gemini.BatchStats? batchStats, - string? createTime, string? model, + string? name, + global::Google.Gemini.GenerateContentBatchOutput? output, string? displayName, - global::Google.Gemini.InputConfig? inputConfig) + string? createTime, + string? priority, + string? updateTime) { - this.EndTime = endTime; - this.Priority = priority; - this.Output = output; this.State = state; - this.Name = name; - this.UpdateTime = updateTime; + this.InputConfig = inputConfig; + this.EndTime = endTime; this.BatchStats = batchStats; - this.CreateTime = createTime; this.Model = model; + this.Name = name; + this.Output = output; this.DisplayName = displayName; - this.InputConfig = inputConfig; + this.CreateTime = createTime; + this.Priority = priority; + this.UpdateTime = updateTime; } /// 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 3ef492ef..c4163176 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentRequest.g.cs @@ -8,6 +8,24 @@ namespace Google.Gemini /// public sealed partial class GenerateContentRequest { + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("generationConfig")] + public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + + /// + /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] + public string? CachedContent { get; set; } + + /// + /// 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. The service tier of the request. /// @@ -16,22 +34,22 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("store")] + public bool? Store { get; set; } /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// Required. The 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("tools")] - public global::System.Collections.Generic.IList? Tools { 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. + /// 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("generationConfig")] - public global::Google.Gemini.GenerationConfig? GenerationConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. @@ -40,22 +58,10 @@ public sealed partial class GenerateContentRequest public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContent")] - public string? CachedContent { get; set; } - - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - [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. + /// The Tool configuration containing parameters for specifying `Tool` use in the request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. @@ -63,12 +69,6 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("safetySettings")] public global::System.Collections.Generic.IList? SafetySettings { get; set; } - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("store")] - public bool? Store { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -78,61 +78,61 @@ public sealed partial class GenerateContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// + /// + /// Optional. The service tier of the request. + /// + /// + /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. + /// /// /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. /// + /// + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. + /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications. /// - /// - /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.ToolConfig? toolConfig, - global::System.Collections.Generic.IList? tools, global::Google.Gemini.GenerationConfig? generationConfig, - global::Google.Gemini.Content? systemInstruction, string? cachedContent, string? model, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, + bool? store, global::System.Collections.Generic.IList? contents, - global::System.Collections.Generic.IList? safetySettings, - bool? store) + global::System.Collections.Generic.IList? tools, + global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.ToolConfig? toolConfig, + global::System.Collections.Generic.IList? safetySettings) { - this.ServiceTier = serviceTier; - this.ToolConfig = toolConfig; - this.Tools = tools; this.GenerationConfig = generationConfig; - this.SystemInstruction = systemInstruction; this.CachedContent = cachedContent; this.Model = model; + this.ServiceTier = serviceTier; + this.Store = store; this.Contents = contents; + this.Tools = tools; + this.SystemInstruction = systemInstruction; + this.ToolConfig = toolConfig; this.SafetySettings = safetySettings; - this.Store = store; } /// 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 17269823..81eceef1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,30 +9,18 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Output only. response_id is used to identify each response.
+ /// Output only. The model version used to generate the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] - public string? ResponseId { get; set; } - - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] - public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } - - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// - /// Output only. The model version used to generate the response.
+ /// Output only. response_id is used to identify each response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseId")] + public string? ResponseId { get; set; } /// /// Candidate responses from the model. @@ -46,6 +34,18 @@ public sealed partial class GenerateContentResponse [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`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("promptFeedback")] + public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } + + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Output only. response_id is used to identify each response.
- /// Included only in responses - /// - /// - /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. - /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. - /// /// /// Output only. The model version used to generate the response.
/// Included only in responses /// + /// + /// Output only. response_id is used to identify each response.
+ /// Included only in responses + /// /// /// Candidate responses from the model. /// /// /// Metadata on the generation request's token usage. /// + /// + /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. + /// + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - string? responseId, - global::Google.Gemini.PromptFeedback? promptFeedback, - global::Google.Gemini.ModelStatus? modelStatus, string? modelVersion, + string? responseId, global::System.Collections.Generic.IList? candidates, - global::Google.Gemini.UsageMetadata? usageMetadata) + global::Google.Gemini.UsageMetadata? usageMetadata, + global::Google.Gemini.PromptFeedback? promptFeedback, + global::Google.Gemini.ModelStatus? modelStatus) { - this.ResponseId = responseId; - this.PromptFeedback = promptFeedback; - this.ModelStatus = modelStatus; this.ModelVersion = modelVersion; + this.ResponseId = responseId; this.Candidates = candidates; this.UsageMetadata = usageMetadata; + this.PromptFeedback = promptFeedback; + this.ModelStatus = modelStatus; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs index 57e471a5..f6b2502e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GeneratedFile.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). - /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } - - /// - /// MIME type of the generatedFile. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -34,6 +22,18 @@ public sealed partial class GeneratedFile [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// MIME type of the generatedFile. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -43,12 +43,6 @@ public sealed partial class GeneratedFile /// /// 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). - /// - /// - /// MIME type of the generatedFile. - /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -56,19 +50,25 @@ public sealed partial class GeneratedFile /// /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` /// + /// + /// MIME type of the generatedFile. + /// + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - global::Google.Gemini.Status? error, - string? mimeType, global::Google.Gemini.GeneratedFileState? state, - string? name) + string? name, + string? mimeType, + global::Google.Gemini.Status? error) { - this.Error = error; - this.MimeType = mimeType; this.State = state; this.Name = name; + this.MimeType = mimeType; + this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 083843c5..afa4b6e5 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class GenerationConfig { - /// - /// 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("responseMimeType")] - public string? ResponseMimeType { 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. /// @@ -21,47 +15,58 @@ public sealed partial class GenerationConfig public global::System.Collections.Generic.IList? StopSequences { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidateCount")] - public int? CandidateCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. If true, export the logprobs results in response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] + public bool? ResponseLogprobs { get; set; } /// - /// Optional. If specified, the media resolution specified will be used. + /// 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("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("frequencyPenalty")] + public float? FrequencyPenalty { get; set; } /// - /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { 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. 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("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enableEnhancedCivicAnswers")] - public bool? EnableEnhancedCivicAnswers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + + /// + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// /// Config for image generation features. @@ -76,16 +81,16 @@ public sealed partial class GenerationConfig public int? MaxOutputTokens { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// 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. An internal detail. Use `responseJsonSchema` rather than this field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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. @@ -94,40 +99,35 @@ public sealed partial class GenerationConfig public global::System.Collections.Generic.IList? ResponseModalities { get; set; } /// - /// Optional. If true, export the logprobs results in response. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseLogprobs")] - public bool? ResponseLogprobs { 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. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// 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("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Config for thinking features. + /// Optional. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] + public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } /// - /// Optional. 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. 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("logprobs")] - public int? Logprobs { 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. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -138,111 +138,111 @@ public sealed partial class GenerationConfig /// /// Initializes a new instance of the class. /// - /// - /// Optional. 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 set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - /// - /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// + /// Optional. If true, export the logprobs results in response. + /// + /// + /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// + /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// /// /// Config for speech generation and transcription. /// - /// - /// Optional. If specified, the media resolution specified will be used. + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Optional. 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. Enables enhanced civic answers. It may not be available for all models. - /// /// /// Config for image generation features. /// /// /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// + /// Config for thinking features. /// - /// - /// 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. An internal detail. Use `responseJsonSchema` rather than this field. /// /// /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - /// - /// Optional. If true, export the logprobs results in response. - /// - /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Config for thinking features. + /// + /// Optional. If specified, the media resolution specified will be used. /// - /// - /// 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. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - string? responseMimeType, global::System.Collections.Generic.IList? stopSequences, - int? topK, - int? candidateCount, + int? logprobs, + global::Google.Gemini.Schema? responseSchema, + bool? responseLogprobs, + float? frequencyPenalty, + int? seed, + float? temperature, global::Google.Gemini.SpeechConfig? speechConfig, - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + int? topK, float? presencePenalty, - float? frequencyPenalty, - bool? enableEnhancedCivicAnswers, global::Google.Gemini.ImageConfig? imageConfig, int? maxOutputTokens, - float? temperature, - float? topP, - global::System.Collections.Generic.IList? responseModalities, - bool? responseLogprobs, - object? responseJsonSchema, - int? seed, global::Google.Gemini.ThinkingConfig? thinkingConfig, - int? logprobs, - global::Google.Gemini.Schema? responseSchema) + object? responseJsonSchema, + global::System.Collections.Generic.IList? responseModalities, + bool? enableEnhancedCivicAnswers, + string? responseMimeType, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, + int? candidateCount, + float? topP) { - this.ResponseMimeType = responseMimeType; this.StopSequences = stopSequences; - this.TopK = topK; - this.CandidateCount = candidateCount; + this.Logprobs = logprobs; + this.ResponseSchema = responseSchema; + this.ResponseLogprobs = responseLogprobs; + this.FrequencyPenalty = frequencyPenalty; + this.Seed = seed; + this.Temperature = temperature; this.SpeechConfig = speechConfig; - this.MediaResolution = mediaResolution; + this.TopK = topK; this.PresencePenalty = presencePenalty; - this.FrequencyPenalty = frequencyPenalty; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; this.ImageConfig = imageConfig; this.MaxOutputTokens = maxOutputTokens; - this.Temperature = temperature; - this.TopP = topP; - this.ResponseModalities = responseModalities; - this.ResponseLogprobs = responseLogprobs; - this.ResponseJsonSchema = responseJsonSchema; - this.Seed = seed; this.ThinkingConfig = thinkingConfig; - this.Logprobs = logprobs; - this.ResponseSchema = responseSchema; + this.ResponseJsonSchema = responseJsonSchema; + this.ResponseModalities = responseModalities; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.ResponseMimeType = responseMimeType; + this.MediaResolution = mediaResolution; + this.CandidateCount = candidateCount; + this.TopP = topP; } /// 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 724f122a..2754ad18 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 @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { + /// + /// Segment of the content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("segment")] + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { 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 @@ -15,12 +21,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] public global::System.Collections.Generic.IList? RenderedParts { get; set; } - /// - /// Segment of the content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("segment")] - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Segment { get; set; } - /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// @@ -42,13 +42,13 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Segment of the content. + /// /// /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
/// Included only in responses /// - /// - /// 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). /// @@ -59,13 +59,13 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaGroundingSupport( - global::System.Collections.Generic.IList? renderedParts, global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? segment, + global::System.Collections.Generic.IList? renderedParts, global::System.Collections.Generic.IList? groundingChunkIndices, global::System.Collections.Generic.IList? confidenceScores) { - this.RenderedParts = renderedParts; this.Segment = segment; + this.RenderedParts = renderedParts; 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 1983af1b..f34adfe3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -14,18 +14,18 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] public int? PartIndex { 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; } + /// + /// The text corresponding to the segment from the response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } + /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -44,12 +44,12 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// The index of a Part object within its parent Content object. /// - /// - /// 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. /// + /// + /// The text corresponding to the segment from the response. + /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// @@ -58,13 +58,13 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment #endif public GoogleAiGenerativelanguageV1betaSegment( int? partIndex, - string? text, int? startIndex, + string? text, int? endIndex) { this.PartIndex = partIndex; - this.Text = text; this.StartIndex = startIndex; + this.Text = text; this.EndIndex = endIndex; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index 3ee594d4..2363445a 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 @@ -14,6 +14,12 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("web")] public global::Google.Gemini.Web? Web { get; set; } + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { get; set; } + /// /// Chunk from image search. /// @@ -26,12 +32,6 @@ public sealed partial class GroundingChunk [global::System.Text.Json.Serialization.JsonPropertyName("retrievedContext")] public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,28 +44,28 @@ public sealed partial class GroundingChunk /// /// Chunk from the web. /// + /// + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// /// /// Chunk from image search. /// /// /// Chunk from context retrieved by the file search tool. /// - /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( global::Google.Gemini.Web? web, + global::Google.Gemini.Maps? maps, global::Google.Gemini.Image? image, - global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps) + global::Google.Gemini.RetrievedContext? retrievedContext) { this.Web = web; + this.Maps = maps; this.Image = image; this.RetrievedContext = retrievedContext; - this.Maps = maps; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunkCustomMetadata.g.cs index 825b2436..cc267c58 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 77f18810..ca2e6030 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingMetadata.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingMetadata { /// - /// Metadata related to retrieval in the grounding flow. + /// Image search queries used for grounding. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] + public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// /// Google search entry point. @@ -27,16 +27,16 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// - /// Image search queries used for grounding. + /// Web search queries for the following-up web search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageSearchQueries")] - public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] + public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// Metadata related to retrieval in the grounding flow. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } /// /// List of grounding support. @@ -45,10 +45,10 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? GroundingSupports { get; set; } /// - /// Web search queries for the following-up web search. + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// - [global::System.Text.Json.Serialization.JsonPropertyName("webSearchQueries")] - public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,8 +59,8 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// Metadata related to retrieval in the grounding flow. + /// + /// Image search queries used for grounding. /// /// /// Google search entry point. @@ -68,37 +68,37 @@ public sealed partial class GroundingMetadata /// /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - /// - /// Image search queries used for grounding. + /// + /// Web search queries for the following-up web search. /// - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + /// Metadata related to retrieval in the grounding flow. /// /// /// List of grounding support. /// - /// - /// Web search queries for the following-up web search. + /// + /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::System.Collections.Generic.IList? imageSearchQueries, global::Google.Gemini.SearchEntryPoint? searchEntryPoint, global::System.Collections.Generic.IList? groundingChunks, - global::System.Collections.Generic.IList? imageSearchQueries, - string? googleMapsWidgetContextToken, + global::System.Collections.Generic.IList? webSearchQueries, + global::Google.Gemini.RetrievalMetadata? retrievalMetadata, global::System.Collections.Generic.IList? groundingSupports, - global::System.Collections.Generic.IList? webSearchQueries) + string? googleMapsWidgetContextToken) { - this.RetrievalMetadata = retrievalMetadata; + this.ImageSearchQueries = imageSearchQueries; this.SearchEntryPoint = searchEntryPoint; this.GroundingChunks = groundingChunks; - this.ImageSearchQueries = imageSearchQueries; - this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; - this.GroundingSupports = groundingSupports; this.WebSearchQueries = webSearchQueries; + this.RetrievalMetadata = retrievalMetadata; + this.GroundingSupports = groundingSupports; + this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs index 6d7ea670..29ecf6d1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingPassageId.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class GroundingPassageId { /// - /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
+ /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("passageId")] + public string? PassageId { get; set; } /// - /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
+ /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("passageId")] - public string? PassageId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class GroundingPassageId /// /// Initializes a new instance of the class. /// - /// - /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
- /// Included only in responses - /// /// /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
/// Included only in responses /// + /// + /// Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingPassageId( - int? partIndex, - string? passageId) + string? passageId, + int? partIndex) { - this.PartIndex = partIndex; this.PassageId = passageId; + this.PartIndex = partIndex; } /// 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 9bc3820b..d7b344ec 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -8,6 +8,12 @@ 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] + public int? BatchSize { 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. /// @@ -26,12 +32,6 @@ public sealed partial class Hyperparameters [global::System.Text.Json.Serialization.JsonPropertyName("epochCount")] public int? EpochCount { get; set; } - /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,6 +41,9 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// + /// + /// 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. /// @@ -50,22 +53,19 @@ public sealed partial class Hyperparameters /// /// 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. /// - /// - /// 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( + int? batchSize, float? learningRate, float? learningRateMultiplier, - int? epochCount, - int? batchSize) + int? epochCount) { + this.BatchSize = batchSize; this.LearningRate = learningRate; this.LearningRateMultiplier = learningRateMultiplier; this.EpochCount = epochCount; - this.BatchSize = batchSize; } /// 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 d4d85b78..c483dabf 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Image.g.cs @@ -8,30 +8,30 @@ namespace Google.Gemini /// public sealed partial class Image { - /// - /// The web page URI for attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] - public string? SourceUri { get; set; } - /// /// The image asset URL. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageUri")] public string? ImageUri { get; set; } - /// - /// The title of the web page that the image is from. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// The root domain of the web page that the image is from, e.g. "example.com". /// [global::System.Text.Json.Serialization.JsonPropertyName("domain")] public string? Domain { get; set; } + /// + /// The web page URI for attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceUri")] + public string? SourceUri { get; set; } + + /// + /// The title of the web page that the image is from. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { 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 web page URI for attribution. - /// /// /// The image asset URL. /// - /// - /// 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 title of the web page that the image is from. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Image( - string? sourceUri, string? imageUri, - string? title, - string? domain) + string? domain, + string? sourceUri, + string? title) { - this.SourceUri = sourceUri; this.ImageUri = imageUri; - this.Title = title; this.Domain = domain; + this.SourceUri = sourceUri; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs index a3b4bba3..c70f6aa2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentRequest.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InlinedEmbedContentRequest { - /// - /// Optional. The metadata to be associated with the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Request containing the `Content` for the model to embed. /// [global::System.Text.Json.Serialization.JsonPropertyName("request")] public global::Google.Gemini.EmbedContentRequest? Request { get; set; } + /// + /// Optional. The metadata to be associated with the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InlinedEmbedContentRequest /// /// Initializes a new instance of the class. /// - /// - /// Optional. The metadata to be associated with the request. - /// /// /// Request containing the `Content` for the model to embed. /// + /// + /// Optional. The metadata to be associated with the request. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentRequest( - object? metadata, - global::Google.Gemini.EmbedContentRequest? request) + global::Google.Gemini.EmbedContentRequest? request, + object? metadata) { - this.Metadata = metadata; this.Request = request; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs index d705a978..a5d69c3b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InlinedEmbedContentResponse.g.cs @@ -14,12 +14,6 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("error")] public global::Google.Gemini.Status? Error { get; set; } - /// - /// The response to an `EmbedContentRequest`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.EmbedContentResponse? Response { get; set; } - /// /// Output only. The metadata associated with the request.
/// Included only in responses @@ -27,6 +21,12 @@ public sealed partial class InlinedEmbedContentResponse [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// The response to an `EmbedContentRequest`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.EmbedContentResponse? Response { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,24 +39,24 @@ public sealed partial class InlinedEmbedContentResponse /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// The response to an `EmbedContentRequest`. - /// /// /// Output only. The metadata associated with the request.
/// Included only in responses /// + /// + /// The response to an `EmbedContentRequest`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedEmbedContentResponse( global::Google.Gemini.Status? error, - global::Google.Gemini.EmbedContentResponse? response, - object? metadata) + object? metadata, + global::Google.Gemini.EmbedContentResponse? response) { this.Error = error; - this.Response = response; this.Metadata = metadata; + this.Response = response; } /// 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 4edfdb2b..d67554e5 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class InlinedResponse { + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// + [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). /// @@ -20,13 +27,6 @@ public sealed partial class InlinedResponse [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 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] - public object? Metadata { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,27 +36,27 @@ public sealed partial class InlinedResponse /// /// Initializes a new instance of the class. /// + /// + /// Output only. The metadata associated with the request.
+ /// Included only in responses + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// /// /// Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`. /// - /// - /// Output only. The metadata associated with the request.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InlinedResponse( + object? metadata, global::Google.Gemini.Status? error, - global::Google.Gemini.GenerateContentResponse? response, - object? metadata) + global::Google.Gemini.GenerateContentResponse? response) { + this.Metadata = metadata; this.Error = error; this.Response = response; - this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index d91125c9..acc98cfe 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputEmbedContentConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedEmbedContentRequests? Requests { get; set; } + /// + /// 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 InputEmbedContentConfig /// /// 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 InputEmbedContentConfig( - string? fileName, - global::Google.Gemini.InlinedEmbedContentRequests? requests) + global::Google.Gemini.InlinedEmbedContentRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// 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 b64b02eb..841ed885 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned rag_stores. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFileSearchStoresResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned rag_stores. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? fileSearchStores) + global::System.Collections.Generic.IList? fileSearchStores, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.FileSearchStores = fileSearchStores; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs index 00f5c2a1..7b51e54b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFilesResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFilesResponse { - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The list of `File`s. /// [global::System.Text.Json.Serialization.JsonPropertyName("files")] public global::System.Collections.Generic.IList? Files { get; set; } + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFilesResponse /// /// Initializes a new instance of the class. /// - /// - /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. - /// /// /// The list of `File`s. /// + /// + /// A token that can be sent as a `page_token` into a subsequent `ListFiles` call. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFilesResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? files) + global::System.Collections.Generic.IList? files, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.Files = files; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs index c530ffd4..3b174b5d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListTunedModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListTunedModelsResponse { - /// - /// The returned Models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] - public global::System.Collections.Generic.IList? TunedModels { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned Models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModels")] + public global::System.Collections.Generic.IList? TunedModels { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListTunedModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// The returned Models. - /// /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// + /// + /// The returned Models. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListTunedModelsResponse( - global::System.Collections.Generic.IList? tunedModels, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? tunedModels) { - this.TunedModels = tunedModels; this.NextPageToken = nextPageToken; + this.TunedModels = tunedModels; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 7778671c..6408eb3b 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 { - /// - /// 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; } + /// + /// Sum of log probabilities for all tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] + public float? LogProbabilitySum { get; set; } + /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Sum of log probabilities for all tokens. - /// /// /// Length = total number of decoding steps. /// + /// + /// Sum of log probabilities for all tokens. + /// /// /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - float? logProbabilitySum, global::System.Collections.Generic.IList? topCandidates, + float? logProbabilitySum, global::System.Collections.Generic.IList? chosenCandidates) { - this.LogProbabilitySum = logProbabilitySum; this.TopCandidates = topCandidates; + this.LogProbabilitySum = logProbabilitySum; this.ChosenCandidates = chosenCandidates; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 1c4558c4..5c9ddd1b 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("token")] public string? Token { get; set; } - /// - /// The candidate’s token id value. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } - /// /// The candidate's log probability. /// [global::System.Text.Json.Serialization.JsonPropertyName("logProbability")] public float? LogProbability { get; set; } + /// + /// The candidate’s token id value. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class LogprobsResultCandidate /// /// The candidate’s token string value. /// - /// - /// The candidate’s token id value. - /// /// /// The candidate's log probability. /// + /// + /// The candidate’s token id value. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( string? token, - int? tokenId, - float? logProbability) + float? logProbability, + int? tokenId) { this.Token = token; - this.TokenId = tokenId; this.LogProbability = logProbability; + this.TokenId = tokenId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 3512c9d2..5ef9c135 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Maps { - /// - /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] - public string? PlaceId { get; set; } - /// /// Title of the place. /// @@ -21,16 +15,16 @@ public sealed partial class Maps public string? Title { get; set; } /// - /// URI reference of the place. + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeId")] + public string? PlaceId { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// /// Text description of the place answer. @@ -38,6 +32,12 @@ public sealed partial class Maps [global::System.Text.Json.Serialization.JsonPropertyName("text")] public string? Text { get; set; } + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + /// /// 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. /// - /// - /// 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. /// + /// + /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. + /// /// /// URI reference of the place. /// - /// - /// 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. /// + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? placeId, string? title, + string? placeId, string? uri, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, - string? text) + string? text, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) { - this.PlaceId = placeId; this.Title = title; + this.PlaceId = placeId; this.Uri = uri; - this.PlaceAnswerSources = placeAnswerSources; this.Text = text; + this.PlaceAnswerSources = placeAnswerSources; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs index 23f459ec..4c3d6fc7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.McpServer.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class McpServer { - /// - /// A transport that can stream HTTP requests and responses. Next ID: 6 - /// - [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] - public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } - /// /// The name of the MCPServer. /// [global::System.Text.Json.Serialization.JsonPropertyName("name")] public string? Name { get; set; } + /// + /// A transport that can stream HTTP requests and responses. Next ID: 6 + /// + [global::System.Text.Json.Serialization.JsonPropertyName("streamableHttpTransport")] + public global::Google.Gemini.StreamableHttpTransport? StreamableHttpTransport { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class McpServer /// /// Initializes a new instance of the class. /// - /// - /// A transport that can stream HTTP requests and responses. Next ID: 6 - /// /// /// The name of the MCPServer. /// + /// + /// A transport that can stream HTTP requests and responses. Next ID: 6 + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public McpServer( - global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport, - string? name) + string? name, + global::Google.Gemini.StreamableHttpTransport? streamableHttpTransport) { - this.StreamableHttpTransport = streamableHttpTransport; this.Name = name; + this.StreamableHttpTransport = streamableHttpTransport; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs index b9c043c1..f9e614fa 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModalityTokenCount.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModalityTokenCount { + /// + /// Number of tokens. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] + public int? TokenCount { get; set; } + /// /// The modality associated with this token count. /// @@ -15,12 +21,6 @@ public sealed partial class ModalityTokenCount [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter))] public global::Google.Gemini.ModalityTokenCountModality? Modality { get; set; } - /// - /// Number of tokens. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenCount")] - public int? TokenCount { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class ModalityTokenCount /// /// Initializes a new instance of the class. /// - /// - /// The modality associated with this token count. - /// /// /// Number of tokens. /// + /// + /// The modality associated with this token count. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModalityTokenCount( - global::Google.Gemini.ModalityTokenCountModality? modality, - int? tokenCount) + int? tokenCount, + global::Google.Gemini.ModalityTokenCountModality? modality) { - this.Modality = modality; this.TokenCount = tokenCount; + this.Modality = modality; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs index 14d83c68..9315d393 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Model { - /// - /// The maximum temperature this model can use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] - public float? MaxTemperature { get; set; } - /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// @@ -21,28 +15,34 @@ public sealed partial class Model public string? DisplayName { get; set; } /// - /// Maximum number of input tokens allowed 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("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { 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. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { 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`. + /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] + public string? BaseModelId { get; set; } /// - /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` + /// The maximum temperature this model can use. /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } + + /// + /// Maximum number of input tokens allowed for this model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { get; set; } /// /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. @@ -51,40 +51,40 @@ public sealed partial class Model public float? Temperature { 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. + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// 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`) /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModelId")] - public string? BaseModelId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// - /// A short description of the model. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } /// - /// Maximum number of output tokens available for this model. + /// A short description of the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Whether the model supports thinking. + /// 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("thinking")] - public bool? Thinking { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,38 +95,29 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// The maximum temperature this model can use. - /// /// /// The human-readable name of the model. E.g. "Gemini 1.5 Flash". The name can be up to 128 characters long and can consist of any UTF-8 characters. /// - /// - /// Maximum number of input tokens allowed for this model. - /// - /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. - /// /// /// Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `models/gemini-1.5-flash-001` /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. - /// - /// - /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// Maximum number of output tokens available for this model. /// /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// A short description of the model. + /// + /// The maximum temperature this model can use. /// - /// - /// Maximum number of output tokens available for this model. + /// + /// Maximum number of input tokens allowed for this model. + /// + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// + /// 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 version number of the model. This represents the major version (`1.0` or `1.5`) @@ -134,37 +125,46 @@ public sealed partial class Model /// /// Whether the model supports thinking. /// + /// + /// A short description of the model. + /// + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - float? maxTemperature, string? displayName, - int? inputTokenLimit, - int? topK, - global::System.Collections.Generic.IList? supportedGenerationMethods, string? name, - float? temperature, - float? topP, - string? baseModelId, - string? description, int? outputTokenLimit, + string? baseModelId, + float? maxTemperature, + int? inputTokenLimit, + float? temperature, + int? topK, string? version, - bool? thinking) + bool? thinking, + string? description, + global::System.Collections.Generic.IList? supportedGenerationMethods, + float? topP) { - this.MaxTemperature = maxTemperature; this.DisplayName = displayName; - this.InputTokenLimit = inputTokenLimit; - this.TopK = topK; - this.SupportedGenerationMethods = supportedGenerationMethods; this.Name = name; - this.Temperature = temperature; - this.TopP = topP; - this.BaseModelId = baseModelId; - this.Description = description; this.OutputTokenLimit = outputTokenLimit; + this.BaseModelId = baseModelId; + this.MaxTemperature = maxTemperature; + this.InputTokenLimit = inputTokenLimit; + this.Temperature = temperature; + this.TopK = topK; this.Version = version; this.Thinking = thinking; + this.Description = description; + this.SupportedGenerationMethods = supportedGenerationMethods; + this.TopP = topP; } /// 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 ad41b18b..bb3395ca 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -15,18 +15,18 @@ 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; } - /// - /// A message explaining the model status. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// The time at which the model will be retired. /// [global::System.Text.Json.Serialization.JsonPropertyName("retirementTime")] public string? RetirementTime { get; set; } + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -39,23 +39,23 @@ public sealed partial class ModelStatus /// /// The stage of the underlying model. /// - /// - /// A message explaining the model status. - /// /// /// The time at which the model will be retired. /// + /// + /// A message explaining the model status. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( global::Google.Gemini.ModelStatusModelStage? modelStage, - string? message, - string? retirementTime) + string? retirementTime, + string? message) { this.ModelStage = modelStage; - this.Message = message; this.RetirementTime = retirementTime; + this.Message = message; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index a763fe79..2321e284 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 { /// - /// 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}`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). @@ -21,16 +21,10 @@ public sealed partial class Operation 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`. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } - - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// 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("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("done")] + public bool? Done { get; set; } /// /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. @@ -38,6 +32,12 @@ public sealed partial class Operation [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] public object? Metadata { get; set; } + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public object? Response { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,36 +47,36 @@ public sealed partial class Operation /// /// Initializes a new instance of the class. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. - /// - /// - /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. + /// + /// 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. /// + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( - bool? done, - global::Google.Gemini.Status? error, - object? response, string? name, - object? metadata) + global::Google.Gemini.Status? error, + bool? done, + object? metadata, + object? response) { - this.Done = done; - this.Error = error; - this.Response = response; this.Name = name; + this.Error = error; + this.Done = done; this.Metadata = metadata; + this.Response = response; } /// 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 a8cac8de..54c191db 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Part.g.cs @@ -11,10 +11,16 @@ namespace Google.Gemini public sealed partial class Part { /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// Inline text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] - public byte[]? ThoughtSignature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { 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; } /// /// Optional. Indicates if the part is thought from the model. @@ -23,10 +29,10 @@ public sealed partial class Part public bool? Thought { get; set; } /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] - public object? PartMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { 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. @@ -35,29 +41,10 @@ public sealed partial class Part public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// - /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. - /// - [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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] - public global::Google.Gemini.Blob? InlineData { get; set; } - - /// - /// URI based data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } - - /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partMetadata")] + public object? PartMetadata { 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`. @@ -66,10 +53,16 @@ public sealed partial class Part 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`. + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] - public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] + public global::Google.Gemini.Blob? InlineData { get; set; } + + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] + public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } /// /// 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. @@ -78,16 +71,23 @@ public sealed partial class Part public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// Inline text. + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { get; set; } + + /// + /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("videoMetadata")] + [global::System.Obsolete("This property marked as deprecated.")] + public global::Google.Gemini.VideoMetadata? VideoMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// - /// - /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. + /// + /// Inline text. + /// + /// + /// 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`. /// /// /// Optional. Indicates if the part is thought from the model. /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. + /// + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// /// /// 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. /// - /// - /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. - /// - /// - /// URI based data. - /// - /// - /// 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. /// /// /// 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`. + /// + /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. + /// + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. /// /// /// Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated. /// - /// - /// Inline text. + /// + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// URI based data. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( - byte[]? thoughtSignature, + string? text, + global::Google.Gemini.ToolResponse? toolResponse, bool? thought, - object? partMetadata, + byte[]? thoughtSignature, global::Google.Gemini.FunctionResponse? functionResponse, - global::Google.Gemini.Blob? inlineData, - global::Google.Gemini.FileData? fileData, - global::Google.Gemini.FunctionCall? functionCall, + object? partMetadata, global::Google.Gemini.ToolCall? toolCall, - global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.Blob? inlineData, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, global::Google.Gemini.ExecutableCode? executableCode, - string? text, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult) + global::Google.Gemini.FunctionCall? functionCall, + global::Google.Gemini.FileData? fileData) { - this.ThoughtSignature = thoughtSignature; + this.Text = text; + this.ToolResponse = toolResponse; this.Thought = thought; - this.PartMetadata = partMetadata; + this.ThoughtSignature = thoughtSignature; this.FunctionResponse = functionResponse; - this.InlineData = inlineData; - this.FileData = fileData; - this.FunctionCall = functionCall; + this.PartMetadata = partMetadata; this.ToolCall = toolCall; - this.ToolResponse = toolResponse; - this.ExecutableCode = executableCode; - this.Text = text; + this.InlineData = inlineData; this.CodeExecutionResult = codeExecutionResult; + this.ExecutableCode = executableCode; + this.FunctionCall = functionCall; + this.FileData = fileData; } /// 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 3ea12056..2d00f946 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Permission { - /// - /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. Immutable. The type of the grantee. /// @@ -22,6 +15,19 @@ public sealed partial class Permission [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter))] public global::Google.Gemini.PermissionGranteeType? GranteeType { get; set; } + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] + public string? EmailAddress { get; set; } + + /// + /// Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Required. The role granted by this permission. /// @@ -29,12 +35,6 @@ 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; } - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("emailAddress")] - public string? EmailAddress { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -44,32 +44,32 @@ public sealed partial class Permission /// /// Initializes a new instance of the class. /// + /// + /// Optional. Immutable. The 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 /// - /// - /// Optional. Immutable. The type of the grantee. - /// /// /// Required. The role granted by this permission. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, global::Google.Gemini.PermissionGranteeType? granteeType, - global::Google.Gemini.PermissionRole? role, - string? emailAddress) + string? emailAddress, + string? name, + global::Google.Gemini.PermissionRole? role) { - this.Name = name; this.GranteeType = granteeType; - this.Role = role; this.EmailAddress = emailAddress; + this.Name = name; + this.Role = role; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs index 458cc7a7..f7e526d8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -15,12 +21,6 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. - /// /// /// Ratings for safety of the prompt. There is at most one rating per category. /// + /// + /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::Google.Gemini.PromptFeedbackBlockReason? blockReason, - global::System.Collections.Generic.IList? safetyRatings) + global::System.Collections.Generic.IList? safetyRatings, + global::Google.Gemini.PromptFeedbackBlockReason? blockReason) { - this.BlockReason = blockReason; this.SafetyRatings = safetyRatings; + this.BlockReason = blockReason; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index 5b848a9b..b22b44d8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs @@ -9,22 +9,22 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// 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. User-provided metadata about the retrieved context. + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { 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. Title of the document. @@ -33,10 +33,10 @@ public sealed partial class RetrievedContext public string? Title { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [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 @@ -47,36 +47,36 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// + /// + /// Optional. URI reference of the semantic retrieval document. + /// /// /// Optional. Text of the chunk. /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// - /// - /// Optional. URI reference of the semantic retrieval document. + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// /// /// Optional. Title of the document. /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. User-provided metadata about the retrieved context. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? text, - global::System.Collections.Generic.IList? customMetadata, string? uri, + string? text, + string? fileSearchStore, string? title, - string? fileSearchStore) + global::System.Collections.Generic.IList? customMetadata) { - this.Text = text; - this.CustomMetadata = customMetadata; this.Uri = uri; - this.Title = title; + this.Text = text; this.FileSearchStore = fileSearchStore; + this.Title = title; + this.CustomMetadata = customMetadata; } /// 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 a5901673..db35d025 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ReviewSnippet.g.cs @@ -14,18 +14,18 @@ public sealed partial class ReviewSnippet [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsUri")] public string? GoogleMapsUri { get; set; } - /// - /// Title of the review. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } - /// /// The ID of the review snippet. /// [global::System.Text.Json.Serialization.JsonPropertyName("reviewId")] public string? ReviewId { get; set; } + /// + /// Title of the review. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -38,23 +38,23 @@ public sealed partial class ReviewSnippet /// /// A link that corresponds to the user review on Google Maps. /// - /// - /// Title of the review. - /// /// /// The ID of the review snippet. /// + /// + /// Title of the review. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ReviewSnippet( string? googleMapsUri, - string? title, - string? reviewId) + string? reviewId, + string? title) { this.GoogleMapsUri = googleMapsUri; - this.Title = title; this.ReviewId = reviewId; + this.Title = title; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetyRating.g.cs index 1575df9d..5b9fe839 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.SafetySetting.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs index 77c5a29f..ba09cc05 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SafetySetting.g.cs @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class SafetySetting { - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] - public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } - /// /// Required. The category for this setting. /// @@ -22,6 +15,13 @@ public sealed partial class SafetySetting [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter))] public global::Google.Gemini.SafetySettingCategory? Category { get; set; } + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("threshold")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter))] + public global::Google.Gemini.SafetySettingThreshold? Threshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -31,21 +31,21 @@ public sealed partial class SafetySetting /// /// Initializes a new instance of the class. /// - /// - /// Required. Controls the probability threshold at which harm is blocked. - /// /// /// Required. The category for this setting. /// + /// + /// Required. Controls the probability threshold at which harm is blocked. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetySetting( - global::Google.Gemini.SafetySettingThreshold? threshold, - global::Google.Gemini.SafetySettingCategory? category) + global::Google.Gemini.SafetySettingCategory? category, + global::Google.Gemini.SafetySettingThreshold? threshold) { - this.Threshold = threshold; this.Category = category; + this.Threshold = threshold; } /// 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 05b87158..7e7b5e3d 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Schema { - /// - /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// - [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] - public double? Minimum { get; set; } - /// /// Optional. Minimum number of the elements for Type.ARRAY. /// @@ -21,16 +15,17 @@ public sealed partial class Schema public string? MinItems { get; set; } /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("example")] - public object? Example { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("type")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] + public global::Google.Gemini.SchemaType? Type { get; set; } /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER @@ -39,41 +34,40 @@ public sealed partial class Schema public double? Maximum { get; set; } /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Optional. Example of the object. Will only populated when the object is the root. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("example")] + public object? Example { get; set; } /// - /// Required. Data type. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Optional. The title of the schema. + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} @@ -82,40 +76,46 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Indicates if the value may be null. + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minimum")] + public double? Minimum { 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. Required 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("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } + + /// + /// Optional. Maximum length of the Type.STRING + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { 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. @@ -124,10 +124,10 @@ public sealed partial class Schema public global::System.Collections.Generic.IList? PropertyOrdering { get; set; } /// - /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// /// Optional. Maximum number of the properties for Type.OBJECT. @@ -136,10 +136,10 @@ public sealed partial class Schema public string? MaxProperties { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { 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. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER - /// /// /// Optional. Minimum number of the elements for Type.ARRAY. /// - /// - /// Optional. Example of the object. Will only populated when the object is the root. + /// + /// Optional. Indicates if the value may be null. /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + /// Required. Data type. /// /// /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. The title of the schema. /// - /// - /// Optional. Minimum number of the properties for 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). /// - /// - /// Optional. The title of the schema. + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - /// - /// Optional. Maximum length of the Type.STRING + /// + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// /// /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - /// - /// Optional. Indicates if the value may be null. + /// + /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// 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. Required properties of Type.OBJECT. /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// + /// Optional. Maximum 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. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. + /// + /// Optional. Properties of Type.OBJECT. /// /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - double? minimum, string? minItems, - object? example, - object? @default, - double? maximum, - string? pattern, - string? minProperties, + bool? nullable, global::Google.Gemini.SchemaType? type, + double? maximum, string? title, - string? minLength, - string? maxLength, - global::System.Collections.Generic.IList? @enum, - bool? nullable, + object? example, global::Google.Gemini.Schema? items, - string? maxItems, - global::System.Collections.Generic.Dictionary? properties, + string? pattern, string? format, + global::System.Collections.Generic.IList? anyOf, + global::System.Collections.Generic.IList? @enum, + double? minimum, global::System.Collections.Generic.IList? required, - global::System.Collections.Generic.IList? propertyOrdering, + object? @default, string? description, + string? minProperties, + string? minLength, + string? maxLength, + global::System.Collections.Generic.IList? propertyOrdering, + global::System.Collections.Generic.Dictionary? properties, string? maxProperties, - global::System.Collections.Generic.IList? anyOf) + string? maxItems) { - this.Minimum = minimum; this.MinItems = minItems; - this.Example = example; - this.Default = @default; - this.Maximum = maximum; - this.Pattern = pattern; - this.MinProperties = minProperties; + this.Nullable = nullable; this.Type = type; + this.Maximum = maximum; this.Title = title; - this.MinLength = minLength; - this.MaxLength = maxLength; - this.Enum = @enum; - this.Nullable = nullable; + this.Example = example; this.Items = items; - this.MaxItems = maxItems; - this.Properties = properties; + this.Pattern = pattern; this.Format = format; + this.AnyOf = anyOf; + this.Enum = @enum; + this.Minimum = minimum; this.Required = required; - this.PropertyOrdering = propertyOrdering; + this.Default = @default; this.Description = description; + this.MinProperties = minProperties; + this.MinLength = minLength; + this.MaxLength = maxLength; + this.PropertyOrdering = propertyOrdering; + this.Properties = properties; this.MaxProperties = maxProperties; - this.AnyOf = anyOf; + this.MaxItems = maxItems; } /// 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 0aee1c55..08b87489 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Status { - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("message")] - public string? Message { get; set; } - /// /// The status code, which should be an enum value of google.rpc.Code. /// [global::System.Text.Json.Serialization.JsonPropertyName("code")] public int? Code { get; set; } + /// + /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// @@ -35,12 +35,12 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. - /// /// /// The status code, which should be an enum value of google.rpc.Code. /// + /// + /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. + /// /// /// A list of messages that carry the error details. There is a common set of message types for APIs to use. /// @@ -48,12 +48,12 @@ public sealed partial class Status [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - string? message, int? code, + string? message, global::System.Collections.Generic.IList? details) { - this.Message = message; this.Code = code; + 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 ba1904de..e9aa51f1 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; } - - /// - /// Optional: Fields for authentication headers, timeouts, etc., if needed. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("headers")] - public global::System.Collections.Generic.Dictionary? Headers { get; set; } - /// /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// @@ -32,6 +20,18 @@ public sealed partial class StreamableHttpTransport [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] public string? Timeout { get; set; } + /// + /// Whether to close the client session when the transport closes. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } + + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("headers")] + public global::System.Collections.Generic.Dictionary? Headers { get; set; } + /// /// Timeout for SSE read operations. /// @@ -47,18 +47,18 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Whether to close the client session when the transport closes. - /// - /// - /// 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. /// + /// + /// Whether to close the client session when the transport closes. + /// + /// + /// Optional: Fields for authentication headers, timeouts, etc., if needed. + /// /// /// Timeout for SSE read operations. /// @@ -66,16 +66,16 @@ public sealed partial class StreamableHttpTransport [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - bool? terminateOnClose, - global::System.Collections.Generic.Dictionary? headers, string? url, string? timeout, + bool? terminateOnClose, + global::System.Collections.Generic.Dictionary? headers, string? sseReadTimeout) { - this.TerminateOnClose = terminateOnClose; - this.Headers = headers; this.Url = url; this.Timeout = timeout; + this.TerminateOnClose = terminateOnClose; + this.Headers = headers; this.SseReadTimeout = sseReadTimeout; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs index 0f2df624..5e903db2 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 @@ -8,6 +8,12 @@ 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. /// @@ -21,12 +27,6 @@ public sealed partial class ThinkingConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter))] public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ 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. /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. /// - /// - /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( + bool? includeThoughts, int? thinkingBudget, - global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, - bool? includeThoughts) + global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel) { + this.IncludeThoughts = includeThoughts; this.ThinkingBudget = thinkingBudget; this.ThinkingLevel = thinkingLevel; - this.IncludeThoughts = includeThoughts; } /// 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 33f6a834..866b762e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class Tool { - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } - - /// - /// 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; } - /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// @@ -33,22 +21,22 @@ public sealed partial class Tool public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// Tool to retrieve public web data for grounding, powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] - public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearchRetrieval")] + public global::Google.Gemini.GoogleSearchRetrieval? GoogleSearchRetrieval { get; set; } /// - /// Optional. MCP Servers to connect to. + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// - [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] - public global::System.Collections.Generic.IList? McpServers { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// - /// Computer Use tool type. + /// Optional. MCP Servers to connect to. /// - [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] - public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] + public global::System.Collections.Generic.IList? McpServers { get; set; } /// /// Tool to support URL context retrieval. @@ -56,6 +44,18 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("urlContext")] public global::Google.Gemini.UrlContext? UrlContext { get; set; } + /// + /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("codeExecution")] + public global::Google.Gemini.CodeExecution? CodeExecution { get; set; } + + /// + /// Computer Use tool type. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + /// /// The GoogleMaps Tool that provides geospatial context for the user's query. /// @@ -71,30 +71,30 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. - /// - /// - /// Tool to retrieve public web data for grounding, powered by Google. - /// /// /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// /// /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. /// - /// - /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. + /// + /// Tool to retrieve public web data for grounding, powered by Google. + /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// /// /// Optional. MCP Servers to connect to. /// - /// - /// Computer Use tool type. - /// /// /// 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. + /// + /// + /// Computer Use tool type. + /// /// /// The GoogleMaps Tool that provides geospatial context for the user's query. /// @@ -102,24 +102,24 @@ public sealed partial class Tool [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleSearch? googleSearch, - global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, global::Google.Gemini.FileSearch? fileSearch, global::System.Collections.Generic.IList? functionDeclarations, - global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, + global::Google.Gemini.GoogleSearch? googleSearch, global::System.Collections.Generic.IList? mcpServers, - global::Google.Gemini.ComputerUse? computerUse, global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.CodeExecution? codeExecution, + global::Google.Gemini.ComputerUse? computerUse, global::Google.Gemini.GoogleMaps? googleMaps) { - this.GoogleSearch = googleSearch; - this.GoogleSearchRetrieval = googleSearchRetrieval; this.FileSearch = fileSearch; this.FunctionDeclarations = functionDeclarations; - this.CodeExecution = codeExecution; + this.GoogleSearchRetrieval = googleSearchRetrieval; + this.GoogleSearch = googleSearch; this.McpServers = mcpServers; - this.ComputerUse = computerUse; this.UrlContext = urlContext; + this.CodeExecution = codeExecution; + this.ComputerUse = computerUse; this.GoogleMaps = googleMaps; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs index ae223c63..eb31d18b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolCall.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ToolCall { /// - /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("args")] - public object? Args { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } /// /// Required. The type of tool that was called. @@ -22,10 +22,10 @@ public sealed partial class ToolCall public global::Google.Gemini.ToolCallToolType? ToolType { get; set; } /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("args")] + public object? Args { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ToolCall /// /// Initializes a new instance of the class. /// - /// - /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} + /// + /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. /// /// /// Required. The type of tool that was called. /// - /// - /// Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`. + /// + /// Optional. The tool call arguments. Example: {"arg1" : "value1", "arg2" : "value2" , ...} /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolCall( - object? args, + string? id, global::Google.Gemini.ToolCallToolType? toolType, - string? id) + object? args) { - this.Args = args; - this.ToolType = toolType; this.Id = id; + this.ToolType = toolType; + this.Args = args; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs index 3a67d3ca..6357a634 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolConfig { + /// + /// Retrieval config. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + /// /// 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. /// @@ -20,12 +26,6 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("functionCallingConfig")] public global::Google.Gemini.FunctionCallingConfig? FunctionCallingConfig { get; set; } - /// - /// Retrieval config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// + /// + /// Retrieval config. + /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// /// /// Configuration for specifying function calling behavior. /// - /// - /// Retrieval config. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( + global::Google.Gemini.RetrievalConfig? retrievalConfig, bool? includeServerSideToolInvocations, - global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - global::Google.Gemini.RetrievalConfig? retrievalConfig) + global::Google.Gemini.FunctionCallingConfig? functionCallingConfig) { + this.RetrievalConfig = retrievalConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; this.FunctionCallingConfig = functionCallingConfig; - this.RetrievalConfig = retrievalConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs index 1a5f51ec..21b7c61e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolResponse.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ToolResponse { + /// + /// Optional. The identifier of the tool call this response is for. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. /// @@ -15,12 +21,6 @@ public sealed partial class ToolResponse [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter))] public global::Google.Gemini.ToolResponseToolType? ToolType { get; set; } - /// - /// Optional. The identifier of the tool call this response is for. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Optional. The tool response. /// @@ -36,12 +36,12 @@ 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. /// + /// + /// Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`. + /// /// /// Optional. The tool response. /// @@ -49,12 +49,12 @@ public sealed partial class ToolResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolResponse( - global::Google.Gemini.ToolResponseToolType? toolType, string? id, + global::Google.Gemini.ToolResponseToolType? toolType, object? response) { - this.ToolType = toolType; this.Id = id; + this.ToolType = toolType; this.Response = response; } 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 9cf3078b..3dea31d1 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 +9,29 @@ namespace Google.Gemini public sealed partial class TunedModel { /// - /// 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("topK")] - public int? TopK { get; set; } - - /// - /// Tuned model as a source for training a new model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] - public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } - - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Output only. The state of the tuned model.
- /// Included only in responses + /// Optional. A short description of this 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("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 updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// 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; } /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` @@ -54,23 +40,17 @@ public sealed partial class TunedModel public string? BaseModel { get; set; } /// - /// Output only. The timestamp when this model was updated.
+ /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } - - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The timestamp when this model was created.
@@ -79,6 +59,12 @@ public sealed partial class TunedModel [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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + /// /// Optional. List of project numbers that have read access to the tuned model. /// @@ -86,10 +72,24 @@ public sealed partial class TunedModel public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } /// - /// Optional. A short description of this model. + /// Output only. The state of the tuned model.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] + public global::Google.Gemini.TunedModelSource? TunedModelSource { 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -100,80 +100,80 @@ public sealed partial class TunedModel /// /// Initializes a new instance of the class. /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Tuned model as a source for training a new model. - /// - /// - /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. - /// - /// - /// 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 - /// /// /// Tuning tasks that create tuned models. /// - /// - /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// Optional. A short description of this model. /// /// /// Output only. The timestamp when this model was updated.
/// 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 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. /// + /// + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` + /// + /// + /// 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. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. + /// /// /// Output only. The timestamp when this model was created.
/// Included only in responses /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// /// /// Optional. List of project numbers that have read access to the tuned model. /// - /// - /// Optional. A short description of this model. + /// + /// Output only. The state of the tuned model.
+ /// Included only in responses + /// + /// + /// 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. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( - int? topK, - global::Google.Gemini.TunedModelSource? tunedModelSource, - string? displayName, - global::Google.Gemini.TunedModelState? state, - string? name, global::Google.Gemini.TuningTask? tuningTask, - string? baseModel, + string? description, string? updateTime, - float? temperature, float? topP, + string? baseModel, + string? name, + string? displayName, string? createTime, + int? topK, global::System.Collections.Generic.IList? readerProjectNumbers, - string? description) + global::Google.Gemini.TunedModelState? state, + global::Google.Gemini.TunedModelSource? tunedModelSource, + float? temperature) { - this.TopK = topK; - this.TunedModelSource = tunedModelSource; - this.DisplayName = displayName; - this.State = state; - this.Name = name; this.TuningTask = tuningTask; - this.BaseModel = baseModel; + this.Description = description; this.UpdateTime = updateTime; - this.Temperature = temperature; this.TopP = topP; + this.BaseModel = baseModel; + this.Name = name; + this.DisplayName = displayName; this.CreateTime = createTime; + this.TopK = topK; this.ReaderProjectNumbers = readerProjectNumbers; - this.Description = description; + this.State = state; + this.TunedModelSource = tunedModelSource; + this.Temperature = temperature; } /// 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 15ca60d5..2e619485 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 @@ -9,32 +9,32 @@ namespace Google.Gemini public sealed partial class TuningSnapshot { /// - /// Output only. The epoch this step was part of.
+ /// Output only. The tuning step.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] - public int? Epoch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("step")] + public int? Step { 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; } /// - /// 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 tuning step.
+ /// Output only. The epoch this step was part of.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("step")] - public int? Step { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("epoch")] + public int? Epoch { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -45,35 +45,35 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// - /// - /// Output only. The epoch this step was part of.
- /// Included only in responses - /// - /// - /// Output only. The timestamp when this metric was computed.
+ /// + /// Output only. The tuning step.
/// Included only in responses /// /// /// Output only. The mean loss of the training examples for this step.
/// Included only in responses /// - /// - /// Output only. The tuning 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 /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( - int? epoch, - string? computeTime, + int? step, float? meanLoss, - int? step) + string? computeTime, + int? epoch) { - this.Epoch = epoch; - this.ComputeTime = computeTime; - this.MeanLoss = meanLoss; this.Step = step; + this.MeanLoss = meanLoss; + this.ComputeTime = computeTime; + this.Epoch = epoch; } /// 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 80a43561..876238c9 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 @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class TuningTask { /// - /// 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; } /// /// Output only. The timestamp when tuning this model completed.
@@ -28,18 +29,17 @@ public sealed partial class TuningTask public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// - /// Output only. The timestamp when tuning this model started.
- /// Included only in responses + /// Dataset for training or validation. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("trainingData")] + public global::Google.Gemini.Dataset? TrainingData { get; set; } /// - /// Output only. Metrics collected during tuning.
+ /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -50,8 +50,9 @@ public sealed partial class TuningTask /// /// Initializes a new instance of the class. /// - /// - /// Dataset for training or validation. + /// + /// Output only. Metrics collected during tuning.
+ /// Included only in responses /// /// /// Output only. The timestamp when tuning this model completed.
@@ -60,29 +61,28 @@ public sealed partial class TuningTask /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// + /// + /// Dataset for training or validation. + /// /// /// Output only. The timestamp when tuning this model started.
/// Included only in responses /// - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( - global::Google.Gemini.Dataset? trainingData, + global::System.Collections.Generic.IList? snapshots, string? completeTime, global::Google.Gemini.Hyperparameters? hyperparameters, - string? startTime, - global::System.Collections.Generic.IList? snapshots) + global::Google.Gemini.Dataset? trainingData, + string? startTime) { - this.TrainingData = trainingData; + this.Snapshots = snapshots; this.CompleteTime = completeTime; this.Hyperparameters = hyperparameters; + this.TrainingData = trainingData; this.StartTime = startTime; - this.Snapshots = snapshots; } /// 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 2e8e1576..4cc4c54f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -9,70 +9,70 @@ namespace Google.Gemini public sealed partial class UsageMetadata { /// - /// Output only. List of modalities that were returned in the response.
+ /// Output only. List of modalities that were processed in the request input.
/// 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("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// Output only. List of modalities of the cached content 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("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Total number of tokens across all the generated response candidates. + /// Total token count for the generation request (prompt + response candidates). /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] - public int? CandidatesTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokenCount")] - public int? ToolUsePromptTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// - /// Number of tokens in the cached part of the prompt (the cached content) + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] - public int? CachedContentTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// - /// Total token count for the generation request (prompt + response candidates). + /// Total number of tokens across all the generated response candidates. /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidatesTokenCount")] + public int? CandidatesTokenCount { get; set; } /// - /// Output only. Number of tokens of thoughts for thinking models.
- /// Included only in responses + /// Number of tokens in the cached part of the prompt (the cached content) /// - [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] - public int? ThoughtsTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cachedContentTokenCount")] + public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Output only. Number of tokens present in tool-use prompt(s).
/// 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("toolUsePromptTokenCount")] + public int? ToolUsePromptTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
+ /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtsTokenCount")] + public int? ThoughtsTokenCount { get; set; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -97,40 +97,40 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// - /// - /// Output only. List of modalities that were returned in the response.
+ /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - /// - /// Total number of tokens across all the generated response candidates. - /// - /// - /// Output only. Number of tokens present in tool-use prompt(s).
+ /// + /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - /// - /// Number of tokens in the cached part of the prompt (the cached content) - /// /// /// Total token count for the generation request (prompt + response candidates). /// - /// - /// Output only. Number of tokens of thoughts for thinking models.
+ /// + /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// /// /// Output only. List of modalities that were processed for tool-use request inputs.
/// Included only in responses /// - /// - /// Output only. List of modalities that were processed in the request input.
+ /// + /// Total number of tokens across all the generated response candidates. + /// + /// + /// Number of tokens in the cached part of the prompt (the cached content) + /// + /// + /// Output only. Number of tokens present in tool-use prompt(s).
/// Included only in responses /// - /// - /// Output only. List of modalities of the cached content in the request input.
+ /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. + /// + /// + /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// /// @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( + global::System.Collections.Generic.IList? promptTokensDetails, + global::System.Collections.Generic.IList? cacheTokensDetails, + int? totalTokenCount, global::System.Collections.Generic.IList? candidatesTokensDetails, - int? promptTokenCount, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, int? candidatesTokenCount, - int? toolUsePromptTokenCount, int? cachedContentTokenCount, - int? totalTokenCount, + int? toolUsePromptTokenCount, + int? promptTokenCount, int? thoughtsTokenCount, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, - global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { + this.PromptTokensDetails = promptTokensDetails; + this.CacheTokensDetails = cacheTokensDetails; + this.TotalTokenCount = totalTokenCount; this.CandidatesTokensDetails = candidatesTokensDetails; - this.PromptTokenCount = promptTokenCount; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; this.CandidatesTokenCount = candidatesTokenCount; - this.ToolUsePromptTokenCount = toolUsePromptTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; - this.TotalTokenCount = totalTokenCount; + this.ToolUsePromptTokenCount = toolUsePromptTokenCount; + this.PromptTokenCount = promptTokenCount; this.ThoughtsTokenCount = thoughtsTokenCount; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; - this.PromptTokensDetails = promptTokensDetails; - this.CacheTokensDetails = cacheTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs index 3d0c3e52..a5d622c2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.VideoMetadata.g.cs @@ -17,18 +17,18 @@ public sealed partial class VideoMetadata public double? Fps { get; set; } /// - /// Optional. The end offset of the video. + /// Optional. The start offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? EndOffset { get; set; } + public string? StartOffset { get; set; } /// - /// Optional. The start offset of the video. + /// Optional. The end offset of the video. /// - [global::System.Text.Json.Serialization.JsonPropertyName("startOffset")] + [global::System.Text.Json.Serialization.JsonPropertyName("endOffset")] [global::System.Obsolete("This property marked as deprecated.")] - public string? StartOffset { get; set; } + public string? EndOffset { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -42,23 +42,23 @@ public sealed partial class VideoMetadata /// /// 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]. /// - /// - /// Optional. The end offset of the video. - /// /// /// Optional. The start offset of the video. /// + /// + /// Optional. The end offset of the video. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public VideoMetadata( double? fps, - string? endOffset, - string? startOffset) + string? startOffset, + string? endOffset) { this.Fps = fps; - this.EndOffset = endOffset; this.StartOffset = startOffset; + this.EndOffset = endOffset; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs index 6775dc95..df96fff2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.WhiteSpaceConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class WhiteSpaceConfig { - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] - public int? MaxOverlapTokens { get; set; } - /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// [global::System.Text.Json.Serialization.JsonPropertyName("maxTokensPerChunk")] public int? MaxTokensPerChunk { get; set; } + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxOverlapTokens")] + public int? MaxOverlapTokens { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class WhiteSpaceConfig /// /// Initializes a new instance of the class. /// - /// - /// Maximum number of overlapping tokens between two adjacent chunks. - /// /// /// Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow. /// + /// + /// Maximum number of overlapping tokens between two adjacent chunks. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public WhiteSpaceConfig( - int? maxOverlapTokens, - int? maxTokensPerChunk) + int? maxTokensPerChunk, + int? maxOverlapTokens) { - this.MaxOverlapTokens = maxOverlapTokens; this.MaxTokensPerChunk = maxTokensPerChunk; + this.MaxOverlapTokens = maxOverlapTokens; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.OptionsSupport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.OptionsSupport.g.cs index 28885836..989c9215 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.OptionsSupport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.OptionsSupport.g.cs @@ -106,6 +106,7 @@ public sealed class AutoSDKRetryOptions public global::System.TimeSpan? Delay { get; set; } } + /// /// Runtime hook interface for generated SDK lifecycle events. /// @@ -236,6 +237,7 @@ public sealed class AutoSDKHookContext public global::System.Threading.CancellationToken CancellationToken { get; set; } } + internal static class AutoSDKRequestOptionsSupport { internal static global::Google.Gemini.AutoSDKHookContext CreateHookContext( diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index cc316a69..eb8fba47 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,15 +11,27 @@ } ], "paths": { - "/files": { + "/models/{modelsId}:batchGenerateContent": { "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -30,42 +42,51 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + } + }, + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListFiles` call.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -73,19 +94,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { + "/models/{modelsId}:batchEmbedContents": { "post": { - "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", - "operationId": "media.uploadToFileSearchStore", + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -93,7 +114,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" + "$ref": "#/components/schemas/BatchEmbedContentsRequest" } } } @@ -104,7 +125,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CustomLongRunningOperation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -112,57 +133,77 @@ } } }, - "/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}: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": "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": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CountTokensResponse" } } } } } - }, - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + } + }, + "/models/{modelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -170,28 +211,19 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/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": "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 +231,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -210,7 +242,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/EmbedContentResponse" } } } @@ -218,28 +250,49 @@ } } }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + "/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": "batchesId", + "name": "modelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^models/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Model" + } + } + } + } + } + } + }, + "/models/{modelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "models.asyncBatchEmbedContent", + "parameters": [ { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^models/[^/]+$" } } ], @@ -247,7 +300,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" } } } @@ -258,7 +311,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -266,19 +319,26 @@ } } }, - "/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", + "/models": { + "get": { + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be cancelled.", + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -288,7 +348,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -296,10 +356,10 @@ } } }, - "/batches": { + "/models/{modelsId}/operations": { "get": { "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "operationId": "models.operations.list", "parameters": [ { "name": "filter", @@ -309,6 +369,16 @@ "type": "string" } }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", @@ -349,7 +419,45 @@ } } }, - "/files/{filesId}": { + "/models/{modelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "models.operations.get", + "parameters": [ + { + "name": "operationsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+/operations/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/files/{filesId}": { "get": { "description": "Gets the metadata for the given `File`.", "operationId": "files.get", @@ -407,6 +515,68 @@ } } }, + "/files": { + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListFilesResponse" + } + } + } + } + } + }, + "post": { + "description": "Creates a `File`.", + "operationId": "media.upload", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CreateFileResponse" + } + } + } + } + } + } + }, "/files:register": { "post": { "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", @@ -434,19 +604,19 @@ } } }, - "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "/fileSearchStores/{fileSearchStoresId}:uploadToFileSearchStore": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", + "description": "Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document.", + "operationId": "media.uploadToFileSearchStore", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. Immutable. The name of the `FileSearchStore` to upload the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -454,7 +624,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" + "$ref": "#/components/schemas/UploadToFileSearchStoreRequest" } } } @@ -465,7 +635,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CustomLongRunningOperation" } } } @@ -473,19 +643,19 @@ } } }, - "/tunedModels/{tunedModelsId}": { - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + "/batches/{batchesId}": { + "delete": { + "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", + "operationId": "batches.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -495,25 +665,25 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Empty" } } } } } }, - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "batches.get", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -523,25 +693,27 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/batches/{batchesId}:updateEmbedContentBatch": { "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", "parameters": [ { - "name": "tunedModelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^batches/[^/]+$" } }, { @@ -558,7 +730,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -569,7 +741,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -577,43 +749,52 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "/batches": { + "get": { + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "batches.list", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "filter", + "in": "query", + "description": "The standard list filter.", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } - } - ], - "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" } } } @@ -621,17 +802,28 @@ } } }, - "/tunedModels": { - "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", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "tunedModelId", + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", + "description": "Optional. The list of fields to update.", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], @@ -639,7 +831,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -650,29 +842,78 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentBatch" } } } } } - }, - "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + } + }, + "/batches/{batchesId}:cancel": { + "post": { + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "name": "batchesId", + "in": "path", + "required": true, + "description": "The name of the operation resource to be cancelled.", "schema": { - "type": "string" + "type": "string", + "pattern": "^batches/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/fileSearchStores": { + "post": { + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/FileSearchStore" + } + } + } + } + } + }, + "get": { + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", + "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -681,7 +922,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } @@ -693,7 +934,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -701,77 +942,65 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", + "/fileSearchStores/{fileSearchStoresId}": { + "get": { + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -779,19 +1008,19 @@ } } }, - "/tunedModels/{tunedModelsId}:transferOwnership": { + "/fileSearchStores/{fileSearchStoresId}:importFile": { "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -799,7 +1028,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" + "$ref": "#/components/schemas/ImportFileRequest" } } } @@ -810,7 +1039,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -818,13 +1047,13 @@ } } }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.upload.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -832,53 +1061,37 @@ } }, { - "name": "permissionsId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "The name of the operation resource.", "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}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -886,13 +1099,13 @@ } }, { - "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/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -902,19 +1115,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { "delete": { - "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "fileSearchStoresId", "in": "path", "required": true, "schema": { @@ -922,13 +1137,21 @@ } }, { - "name": "permissionsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -944,38 +1167,27 @@ } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { + }, "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -985,25 +1197,74 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Document" } } } } } - }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + } + }, + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "tunedModelsId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListDocumentsResponse" + } + } + } + } + } + } + }, + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", + "parameters": [ + { + "name": "dynamicId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string", + "pattern": "^dynamic/[^/]+$" } } ], @@ -1011,7 +1272,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1022,7 +1283,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1030,37 +1296,38 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "tunedModels.operations.get", + "/dynamic/{dynamicId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "dynamic.generateContent", "parameters": [ { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "operationsId", + "name": "dynamicId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1068,33 +1335,15 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/generatedFiles": { "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 the generated files owned by the requesting project.", + "operationId": "generatedFiles.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/[^/]+$" - } - }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", "schema": { "type": "integer", "format": "int32" @@ -1103,18 +1352,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -1123,7 +1364,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -1131,19 +1372,27 @@ } } }, - "/corpora/{corporaId}": { + "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "corporaId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "schema": { + "type": "string" + } + }, + { + "name": "generatedFilesId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -1153,59 +1402,44 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + } + }, + "/cachedContents/{cachedContentsId}": { + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "format": "google-fieldmask" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } - } - } - } - }, - "/corpora": { - "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1216,7 +1450,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1224,24 +1458,17 @@ } }, "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.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.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^cachedContents/[^/]+$" } } ], @@ -1251,23 +1478,51 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/corpora/{corporaId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + }, + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/cachedContents": { + "get": { + "description": "Lists CachedContents.", + "operationId": "cachedContents.list", + "parameters": [ + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", "schema": { "type": "integer", "format": "int32" @@ -1276,20 +1531,10 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^corpora/[^/]+$" - } } ], "responses": { @@ -1298,7 +1543,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } @@ -1306,17 +1551,44 @@ } }, "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CachedContent" + } + } + } + } + } + } + }, + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1324,7 +1596,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -1335,7 +1607,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } @@ -1343,27 +1615,47 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.permissions.get", + "/tunedModels/{tunedModelsId}": { + "delete": { + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "permissionsId", + "name": "tunedModelsId", "in": "path", "required": true, + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + }, + "get": { + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", + "parameters": [ { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1373,7 +1665,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1381,31 +1673,23 @@ } }, "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } }, { "name": "updateMask", "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "description": "Optional. The list of fields to update.", "schema": { "type": "string", "format": "google-fieldmask" @@ -1416,7 +1700,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/TunedModel" } } } @@ -1427,43 +1711,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/TunedModel" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/tunedModels/{tunedModelsId}:generateContent": { + "post": { + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "tunedModelsId", "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 `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1471,30 +1758,31 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", @@ -1509,19 +1797,34 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { + "/tunedModels": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.get", + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", + "schema": { + "type": "string" } } ], @@ -1531,43 +1834,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } }, - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.delete", - "parameters": [ - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, + "post": { + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", + "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "name": "tunedModelId", + "in": "query", + "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "string" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TunedModel" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -1575,50 +1877,27 @@ } } }, - "/fileSearchStores": { - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "tunedModels.streamGenerateContent", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" - } - } - } - } - } - }, - "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1629,7 +1908,12 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1637,19 +1921,19 @@ } } }, - "/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/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1657,7 +1941,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } @@ -1668,7 +1952,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -1676,27 +1960,52 @@ } } }, - "/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" } } ], @@ -1706,7 +2015,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1714,13 +2023,13 @@ } } }, - "/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": { @@ -1728,13 +2037,13 @@ } }, { - "name": "fileSearchStoresId", + "name": "operationsId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -1752,15 +2061,15 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/tunedModels/{tunedModelsId}/permissions": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -1769,19 +2078,19 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -1791,57 +2100,58 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } } } - } - }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + }, + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", + "name": "tunedModelsId", "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 parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/Permission" } } } } } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + } + }, + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "parameters": [ { - "name": "fileSearchStoresId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1849,58 +2159,67 @@ } }, { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { - "type": "boolean" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } }, { - "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" } } } } } - } - }, - "/generatedFiles": { - "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", "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.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1910,21 +2229,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { + }, "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", "parameters": [ { - "name": "operationsId", + "name": "tunedModelsId", "in": "path", "required": true, "schema": { @@ -1932,13 +2249,13 @@ } }, { - "name": "generatedFilesId", + "name": "permissionsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" } } ], @@ -1948,7 +2265,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Permission" } } } @@ -1956,77 +2273,65 @@ } } }, - "/models/{modelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "/corpora/{corporaId}": { + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "modelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", + }, + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Corpus" } } } @@ -2034,66 +2339,50 @@ } } }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + "/corpora": { + "get": { + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", "schema": { - "type": "string", - "pattern": "^models/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } } } - } - }, - "/models/{modelsId}:embedContent": { + }, "post": { - "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", - "operationId": "models.embedContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/Corpus" } } } @@ -2104,7 +2393,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" + "$ref": "#/components/schemas/Corpus" } } } @@ -2112,19 +2401,27 @@ } } }, - "/models/{modelsId}": { + "/corpora/{corporaId}/operations/{operationsId}": { "get": { - "description": "Gets information about a specific `Model` such as its version number, token limits, [parameters](https://ai.google.dev/gemini-api/docs/models/generative-models#model-parameters) and other metadata. Refer to the [Gemini models guide](https://ai.google.dev/gemini-api/docs/models/gemini) for detailed model information.", - "operationId": "models.get", + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "modelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -2134,7 +2431,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -2142,19 +2439,19 @@ } } }, - "/models/{modelsId}:streamGenerateContent": { + "/corpora/{corporaId}/permissions": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "models.streamGenerateContent", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -2162,7 +2459,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -2173,28 +2470,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/models": { + }, "get": { - "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", - "operationId": "models.list", + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -2203,10 +2493,20 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string", + "pattern": "^corpora/[^/]+$" + } } ], "responses": { @@ -2215,7 +2515,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -2223,91 +2523,49 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "modelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/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", + }, + "delete": { + "description": "Deletes the permission.", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "operationsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -2315,13 +2573,13 @@ } }, { - "name": "modelsId", + "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": "^models/[^/]+/operations/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -2331,90 +2589,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/models/{modelsId}/operations": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "models.operations.list", + }, + "patch": { + "description": "Updates the permission.", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "permissionsId", + "in": "path", + "required": true, "schema": { "type": "string" } }, { - "name": "modelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "The name of the operation's parent resource.", + "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": "^models/[^/]+$" - } - }, - { - "name": "pageSize", - "in": "query", - "description": "The standard list page size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "The standard list page token.", - "schema": { - "type": "string" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } }, { - "name": "returnPartialSuccess", + "name": "updateMask", "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" - } - } - } - } - } - } - }, - "/dynamic/{dynamicId}:streamGenerateContent": { - "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "dynamic.streamGenerateContent", - "parameters": [ - { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { "type": "string", - "pattern": "^dynamic/[^/]+$" + "format": "google-fieldmask" } } ], @@ -2422,7 +2632,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -2433,1327 +2643,1604 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } } - }, - "/dynamic/{dynamicId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "dynamic.generateContent", - "parameters": [ - { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } + } + }, + "components": { + "schemas": { + "GeneratedFile": { + "description": "A file generated on behalf of a user.", + "type": "object", + "properties": { + "state": { + "description": "Output only. The state of the GeneratedFile.", + "type": "string", + "readOnly": true, + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ], + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ] + }, + "name": { + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "type": "string" + }, + "mimeType": { + "description": "MIME type of the generatedFile.", + "type": "string" + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" } } - } - }, - "/cachedContents": { - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of cached contents to return. The service may return fewer than this value. If unspecified, some default (under maximum) number of items will be returned. The maximum value is 1000; values above 1000 will be coerced to 1000.", - "schema": { - "type": "integer", - "format": "int32" - } + }, + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "type": "object", + "properties": { + "retrievalConfig": { + "description": "Optional. Retrieval config.", + "$ref": "#/components/schemas/RetrievalConfig" }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", - "schema": { - "type": "string" - } + "includeServerSideToolInvocations": { + "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", + "type": "boolean" + }, + "functionCallingConfig": { + "description": "Optional. Function calling config.", + "$ref": "#/components/schemas/FunctionCallingConfig" } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" - } - } - } + } + }, + "GroundingChunkCustomMetadata": { + "description": "User provided metadata about the GroundingFact.", + "type": "object", + "properties": { + "stringValue": { + "description": "Optional. The string value of the metadata.", + "type": "string" + }, + "stringListValue": { + "description": "Optional. A list of string values for the metadata.", + "$ref": "#/components/schemas/GroundingChunkStringList" + }, + "numericValue": { + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", + "type": "number" + }, + "key": { + "description": "The key of the metadata.", + "type": "string" } } }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "type": "object", + "properties": { + "totalTokens": { + "format": "int32", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", + "type": "integer" + }, + "cachedContentTokenCount": { + "format": "int32", + "description": "Number of tokens in the cached part of the prompt (the cached content).", + "type": "integer" + }, + "promptTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true + }, + "cacheTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the cached content.", + "type": "array", + "readOnly": true } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } + } + }, + "Maps": { + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", + "type": "object", + "properties": { + "title": { + "description": "Title of the place.", + "type": "string" + }, + "placeId": { + "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "type": "string" + }, + "uri": { + "description": "URI reference of the place.", + "type": "string" + }, + "text": { + "description": "Text description of the place answer.", + "type": "string" + }, + "placeAnswerSources": { + "description": "Sources that provide answers about the features of a given place in Google Maps.", + "$ref": "#/components/schemas/PlaceAnswerSources" } } - } - }, - "/cachedContents/{cachedContentsId}": { - "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" + }, + "ListOperationsResponse": { + "description": "The response message for Operations.ListOperations.", + "type": "object", + "properties": { + "nextPageToken": { + "description": "The standard List next-page token.", + "type": "string" + }, + "operations": { + "description": "A list of operations that matches the specified filter in the request.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Operation" } + }, + "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" } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } - } + } + }, + "FileData": { + "description": "URI based data.", + "type": "object", + "properties": { + "mimeType": { + "description": "Optional. The IANA standard MIME type of the source data.", + "type": "string" + }, + "fileUri": { + "description": "Required. URI.", + "type": "string" } } }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } + "ThinkingConfig": { + "description": "Config for thinking features.", + "type": "object", + "properties": { + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", + "type": "boolean" }, - { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } + "thinkingBudget": { + "description": "The number of thoughts tokens that the model should generate.", + "type": "integer", + "format": "int32" + }, + "thinkingLevel": { + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "type": "string" } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } + } + }, + "CreateFileResponse": { + "description": "Response for `CreateFile`.", + "type": "object", + "properties": { + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" - } - } + } + }, + "TuningSnapshot": { + "description": "Record for a single tuning step.", + "type": "object", + "properties": { + "step": { + "format": "int32", + "description": "Output only. The tuning step.", + "type": "integer", + "readOnly": true + }, + "meanLoss": { + "format": "float", + "description": "Output only. The mean loss of the training examples for this step.", + "type": "number", + "readOnly": true + }, + "computeTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp when this metric was computed.", + "type": "string" + }, + "epoch": { + "readOnly": true, + "description": "Output only. The epoch this step was part of.", + "type": "integer", + "format": "int32" + } + } + }, + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "type": "object", + "properties": {} + }, + "InlinedRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", + "type": "object", + "properties": { + "requests": { + "items": { + "$ref": "#/components/schemas/InlinedRequest" + }, + "description": "Required. The requests to be processed in the batch.", + "type": "array" + } + } + }, + "ListPermissionsResponse": { + "description": "Response from `ListPermissions` containing a paginated list of permissions.", + "type": "object", + "properties": { + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + }, + "permissions": { + "description": "Returned permissions.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Permission" } } } }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", - "parameters": [ - { - "name": "cachedContentsId", - "in": "path", - "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", - "schema": { - "type": "string", - "pattern": "^cachedContents/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Empty" - } - } - } + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "type": "object", + "properties": { + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "type": "string" + }, + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" } } - } - } - }, - "components": { - "schemas": { - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + }, + "ModelStatus": { + "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable.", "type": "object", "properties": { - "whiteSpaceConfig": { - "$ref": "#/components/schemas/WhiteSpaceConfig", - "description": "White space chunking configuration." + "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." + ], + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "enum": [ + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" + ], + "description": "The stage of the underlying model.", + "type": "string" + }, + "retirementTime": { + "description": "The time at which the model will be retired.", + "type": "string", + "format": "google-datetime" + }, + "message": { + "description": "A message explaining the model status.", + "type": "string" } } }, - "MultiSpeakerVoiceConfig": { + "UploadToFileSearchStoreRequest": { + "description": "Request for `UploadToFileSearchStore`.", + "type": "object", "properties": { - "speakerVoiceConfigs": { + "displayName": { + "description": "Optional. Display name of the created document.", + "type": "string" + }, + "customMetadata": { "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" + "$ref": "#/components/schemas/CustomMetadata" }, - "description": "Required. All the enabled speaker voices.", + "description": "Custom metadata to be associated with the data.", "type": "array" + }, + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" + }, + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" } - }, - "description": "The configuration for the multi-speaker setup.", - "type": "object" + } }, - "Web": { - "description": "Chunk from the web.", + "Part": { + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "type": "object", "properties": { - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. URI reference of the chunk." + "text": { + "description": "Inline text.", + "type": "string" }, - "title": { - "readOnly": true, - "type": "string", - "description": "Output only. Title of the chunk." + "toolResponse": { + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", + "$ref": "#/components/schemas/ToolResponse" + }, + "mediaResolution": { + "description": "Optional. Media resolution for the input media.", + "$ref": "#/components/schemas/MediaResolution" + }, + "thought": { + "description": "Optional. Indicates if the part is thought from the model.", + "type": "boolean" + }, + "thoughtSignature": { + "format": "byte", + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "type": "string" + }, + "functionResponse": { + "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "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." + } + }, + "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.", + "$ref": "#/components/schemas/ToolCall" + }, + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" + }, + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" + }, + "executableCode": { + "description": "Code generated by the model that is meant to be executed.", + "$ref": "#/components/schemas/ExecutableCode" + }, + "functionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", + "$ref": "#/components/schemas/FunctionCall" + }, + "fileData": { + "description": "URI based data.", + "$ref": "#/components/schemas/FileData" + }, + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" } } }, - "EmbeddingUsageMetadata": { + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", + "type": "object", "properties": { - "promptTokenCount": { - "readOnly": true, + "tokenCount": { + "description": "Number of tokens.", "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens in the prompt." + "format": "int32" }, - "promptTokenDetails": { - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were processed in the request input." + "modality": { + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ], + "description": "The modality associated with this token count.", + "type": "string" } - }, - "description": "Metadata on the usage of the embedding request.", - "type": "object" + } }, - "Operation": { + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", + "type": "object", "properties": { - "done": { - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", - "type": "boolean" + "totalTokenCount": { + "format": "int32", + "description": "Total number of tokens that the cached content consumes.", + "type": "integer" + } + } + }, + "Image": { + "description": "Chunk from image search.", + "type": "object", + "properties": { + "imageUri": { + "description": "The image asset URL.", + "type": "string" }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "type": "string" }, - "response": { - "type": "object", - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" }, - "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}`.", + "title": { + "description": "The title of the web page that the image is from.", + "type": "string" + } + } + }, + "TunedModelSource": { + "description": "Tuned model as a source for training a new model.", + "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" }, - "metadata": { - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - }, - "type": "object" + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "type": "string", + "readOnly": true } - }, - "description": "This resource represents a long-running operation that is the result of a network API call.", - "type": "object" + } }, - "FunctionDeclaration": { + "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": { - "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`." + "id": { + "description": "Optional. The identifier of the tool call this response is for.", + "type": "string" }, - "behavior": { - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "type": "string", + "toolType": { "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." + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." ], "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ] - }, - "description": { - "description": "Required. A brief description of the function.", + "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" }, "response": { - "$ref": "#/components/schemas/Schema", - "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function." - }, - "parameters": { - "$ref": "#/components/schemas/Schema", - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter." - }, - "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`." - }, - "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" + "description": "Optional. The tool response.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } - }, - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client.", - "type": "object" + } }, - "GoogleAiGenerativelanguageV1betaSegment": { + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", "type": "object", - "description": "Segment of the content.", "properties": { - "partIndex": { - "type": "integer", - "format": "int32", - "description": "The index of a Part object within its parent Content object." - }, - "text": { - "type": "string", - "description": "The text corresponding to the segment from the response." - }, - "startIndex": { - "type": "integer", - "format": "int32", - "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero." - }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero." + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + } } } }, - "SpeechConfig": { + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", + "type": "object", "properties": { - "multiSpeakerVoiceConfig": { - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig", - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field." + "batch": { + "description": "Required. The batch to create.", + "$ref": "#/components/schemas/EmbedContentBatch" + } + } + }, + "RetrievalConfig": { + "description": "Retrieval config.", + "type": "object", + "properties": { + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" }, "languageCode": { - "type": "string", - "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`." - }, - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "The configuration in case of single-voice output." + "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" } - }, - "type": "object", - "description": "Config for speech generation and transcription." + } }, - "GroundingPassageId": { + "PromptFeedback": { + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "type": "object", - "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", - "readOnly": true, - "type": "integer", - "format": "int32" + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } }, - "passageId": { - "readOnly": true, + "blockReason": { + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", "type": "string", - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`." + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ], + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ] } } }, - "RegisterFilesResponse": { - "description": "Response for `RegisterFiles`.", + "RetrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", "type": "object", "properties": { - "files": { - "items": { - "$ref": "#/components/schemas/File" - }, - "description": "The registered files to be used when calling GenerateContent.", - "type": "array" + "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" } } }, - "Status": { + "FileSearchStore": { + "description": "A `FileSearchStore` is a collection of `Document`s.", + "type": "object", "properties": { - "message": { - "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "name": { + "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.", + "type": "string", + "readOnly": true + }, + "pendingDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "type": "string", + "readOnly": true, + "format": "int64" + }, + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", "type": "string" }, - "code": { - "type": "integer", - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code." + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "type": "string", + "readOnly": true, + "format": "int64" }, - "details": { - "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } + "displayName": { + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" + }, + "createTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "type": "string" + }, + "failedDocumentsCount": { + "readOnly": true, + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "type": "string", + "format": "int64" + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.", + "type": "string", + "readOnly": true, + "format": "int64" } - }, - "type": "object", - "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors)." + } }, - "ModelStatus": { + "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": { - "modelStage": { - "x-enum-descriptions": [ - "Unspecified model stage.", - "The underlying model is subject to lots of tunings.", - "Models in this stage are for experimental purposes only.", - "Models in this stage are more mature than experimental models.", - "Models in this stage are considered stable and ready for production use.", - "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", - "Models in this stage are deprecated. These models cannot be used.", - "Models in this stage are retired. These models cannot be used." - ], - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "type": "string", - "description": "The stage of the underlying model.", - "enumDeprecated": [ - false, - true, - false, - false, - false, - false, - true, - false - ] + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "message": { - "type": "string", - "description": "A message explaining the model status." + "maps": { + "description": "Optional. Grounding chunk from Google Maps.", + "$ref": "#/components/schemas/Maps" + }, + "image": { + "description": "Optional. Grounding chunk from image search.", + "$ref": "#/components/schemas/Image" + }, + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + } + } + }, + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", + "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.", + "type": "integer", + "format": "int32" }, - "retirementTime": { - "type": "string", - "format": "google-datetime", - "description": "The time at which the model will be retired." + "maxOverlapTokens": { + "format": "int32", + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "type": "integer" } - }, - "type": "object", - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." + } }, - "EmbedContentBatchStats": { + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "type": "object", - "description": "Stats about the batch.", "properties": { - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "readOnly": true, - "type": "string", - "format": "int64" + "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" }, - "successfulRequestCount": { - "readOnly": true, - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that were successfully processed." + "args": { + "description": "Optional. The function parameters and values in JSON object format.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "failedRequestCount": { - "readOnly": true, - "type": "string", - "format": "int64", - "description": "Output only. The number of requests that failed to be processed." + "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" + } + } + }, + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", + "type": "object", + "properties": { + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", + "readOnly": true }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", + "metadata": { "readOnly": true, - "type": "string", - "format": "int64" + "description": "Output only. The metadata associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + }, + "response": { + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/EmbedContentResponse", + "readOnly": true } } }, - "PromptFeedback": { - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", + "SearchTypes": { + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "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" + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" }, - "safetyRatings": { - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "type": "array", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } + "imageSearch": { + "description": "Optional. Enables image search. Image bytes are returned.", + "$ref": "#/components/schemas/ImageSearch" } } }, - "PlaceAnswerSources": { + "PrebuiltVoiceConfig": { + "description": "The configuration for the prebuilt speaker to use.", "type": "object", - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", "properties": { - "reviewSnippets": { - "items": { - "$ref": "#/components/schemas/ReviewSnippet" - }, - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "type": "array" + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" } } }, - "LogprobsResult": { - "description": "Logprobs Result", + "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": {} + }, + "GoogleSearch": { + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "type": "object", "properties": { - "logProbabilitySum": { - "description": "Sum of log probabilities for all tokens.", - "type": "number", - "format": "float" - }, - "topCandidates": { - "type": "array", - "description": "Length = total number of decoding steps.", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" }, - "chosenCandidates": { - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "type": "array", - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates." + "searchTypes": { + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default.", + "$ref": "#/components/schemas/SearchTypes" } } }, - "Candidate": { + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", "type": "object", - "description": "A response candidate generated from the model.", "properties": { - "content": { - "description": "Output only. Generated content returned from the model.", - "readOnly": true, - "$ref": "#/components/schemas/Content" - }, - "safetyRatings": { - "type": "array", - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } - }, - "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." - ], - "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" - ], + "sizeBytes": { + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the Document.", "type": "string", - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens." - }, - "avgLogprobs": { - "description": "Output only. Average log probability score of the candidate.", - "readOnly": true, - "type": "number", - "format": "double" + "readOnly": true }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", - "readOnly": true, + "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" }, - "urlContextMetadata": { - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true, - "description": "Output only. Metadata related to url context retrieval tool." - }, - "index": { - "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates." + "customMetadata": { + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.", + "type": "array" }, - "tokenCount": { - "description": "Output only. Token count for this candidate.", + "createTime": { + "format": "google-datetime", "readOnly": true, - "type": "integer", - "format": "int32" + "description": "Output only. The Timestamp of when the `Document` was created.", + "type": "string" }, - "logprobsResult": { - "$ref": "#/components/schemas/LogprobsResult", - "readOnly": true, - "description": "Output only. Log-likelihood scores for the response tokens and top tokens" + "updateTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "type": "string", + "readOnly": true }, - "citationMetadata": { - "$ref": "#/components/schemas/CitationMetadata", + "state": { "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." + "description": "Output only. Current state of the `Document`.", + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ], + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ] }, - "groundingMetadata": { - "readOnly": true, - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "$ref": "#/components/schemas/GroundingMetadata" + "name": { + "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", + "type": "string" }, - "groundingAttributions": { + "mimeType": { "readOnly": true, - "type": "array", - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", + "description": "Output only. The mime type of the Document.", + "type": "string" + } + } + }, + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", + "type": "object", + "properties": { + "citationSources": { "items": { - "$ref": "#/components/schemas/GroundingAttribution" - } + "$ref": "#/components/schemas/CitationSource" + }, + "description": "Citations to sources for a specific response.", + "type": "array" } } }, - "ListCachedContentsResponse": { - "description": "Response with CachedContents list.", + "InlinedEmbedContentResponses": { + "description": "The responses to the requests in the batch.", "type": "object", "properties": { - "cachedContents": { - "description": "List of cached contents.", + "inlinedResponses": { + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentResponse" + }, + "description": "Output only. The responses to the requests in the batch.", "type": "array", + "readOnly": true + } + } + }, + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", + "type": "object", + "properties": { + "mode": { + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", + "type": "string", + "x-enum-descriptions": [ + "Unspecified function calling mode. This value should not be used.", + "Default model behavior, model decides to predict either a function call or a natural language response.", + "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", + "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", + "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." + ], + "enum": [ + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" + ] + }, + "allowedFunctionNames": { "items": { - "$ref": "#/components/schemas/CachedContent" - } + "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" + } + } + }, + "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" }, - "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.", + "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" } } }, - "BatchStats": { - "type": "object", + "EmbedContentBatchStats": { "description": "Stats about the batch.", + "type": "object", "properties": { - "requestCount": { + "failedRequestCount": { + "format": "int64", "readOnly": true, - "type": "string", + "description": "Output only. The number of requests that failed to be processed.", + "type": "string" + }, + "requestCount": { "format": "int64", - "description": "Output only. The number of requests in the batch." + "description": "Output only. The number of requests in the batch.", + "type": "string", + "readOnly": true }, "successfulRequestCount": { - "readOnly": true, - "type": "string", "format": "int64", - "description": "Output only. The number of requests that were successfully processed." - }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", "readOnly": true, - "type": "string", - "format": "int64" + "description": "Output only. The number of requests that were successfully processed.", + "type": "string" }, "pendingRequestCount": { - "readOnly": true, + "description": "Output only. The number of requests that are still pending processing.", "type": "string", - "format": "int64", - "description": "Output only. The number of requests that are still pending processing." + "readOnly": true, + "format": "int64" + } + } + }, + "Dataset": { + "description": "Dataset for training or validation.", + "type": "object", + "properties": { + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } } }, "EmbedContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", + "type": "object", "properties": { "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.", "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "readOnly": true, - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." + "readOnly": true }, "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", "type": "string" } - }, - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "type": "object" + } }, - "GeneratedFile": { + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "type": "object", - "description": "A file generated on behalf of a user.", "properties": { - "error": { - "$ref": "#/components/schemas/Status", - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state." + "embedding": { + "description": "Output only. The embedding generated from the input content.", + "$ref": "#/components/schemas/ContentEmbedding", + "readOnly": true }, - "mimeType": { - "description": "MIME type of the generatedFile.", + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" + } + } + }, + "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" + } + } + } + }, + "TuningExample": { + "description": "A single example for tuning.", + "type": "object", + "properties": { + "textInput": { + "description": "Optional. Text model input.", "type": "string" }, - "state": { - "type": "string", - "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": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "readOnly": true - }, - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "output": { + "description": "Required. The expected model output.", "type": "string" } } }, - "Maps": { + "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", - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "placeId": { - "description": "The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place.", + "startTime": { + "format": "google-datetime", + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", "type": "string" }, - "title": { + "endTime": { + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", "type": "string", - "description": "Title of the place." + "format": "google-datetime" + } + } + }, + "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": { + "fileSearchStores": { + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "description": "The returned rag_stores.", + "type": "array" }, - "uri": { - "description": "URI reference of the place.", + "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" + } + } + }, + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", + "type": "object", + "properties": { + "stringListValue": { + "description": "The StringList value of the metadata to store.", + "$ref": "#/components/schemas/StringList" }, - "placeAnswerSources": { - "description": "Sources that provide answers about the features of a given place in Google Maps.", - "$ref": "#/components/schemas/PlaceAnswerSources" + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" }, - "text": { - "description": "Text description of the place answer.", + "key": { + "description": "Required. The key of the metadata to store.", "type": "string" + }, + "numericValue": { + "description": "The numeric value of the metadata to store.", + "type": "number", + "format": "float" + } + } + }, + "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": {} + }, + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "type": "object", + "properties": { + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + } + }, + "StringList": { + "description": "User provided string values assigned to a single metadata key.", + "type": "object", + "properties": { + "values": { + "description": "The string values of the metadata to store.", + "type": "array", + "items": { + "type": "string" + } } } }, - "CustomMetadata": { + "BatchEmbedContentsRequest": { + "description": "Batch request to get embeddings from the model for a list of prompts.", + "type": "object", "properties": { - "stringValue": { - "type": "string", - "description": "The string value of the metadata to store." - }, - "numericValue": { - "type": "number", - "format": "float", - "description": "The numeric value of the metadata to store." - }, - "key": { - "description": "Required. The key of the metadata to store.", - "type": "string" - }, - "stringListValue": { - "$ref": "#/components/schemas/StringList", - "description": "The StringList value of the metadata to store." + "requests": { + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", + "type": "array", + "items": { + "$ref": "#/components/schemas/EmbedContentRequest" + } } - }, - "description": "User provided metadata stored as key-value pairs.", - "type": "object" + } }, - "FileSearchStore": { + "GenerateContentBatch": { + "description": "A resource representing a batch of `GenerateContent` requests.", "type": "object", - "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "sizeBytes": { - "readOnly": true, + "state": { + "description": "Output only. The state of the batch.", "type": "string", - "format": "int64", - "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`." - }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", "readOnly": true, - "type": "string", - "format": "int64" + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] }, - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" }, - "createTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "endTime": { + "format": "google-datetime", "readOnly": true, - "type": "string", - "format": "google-datetime" + "description": "Output only. The time at which the batch processing completed.", + "type": "string" }, - "activeDocumentsCount": { + "batchStats": { "readOnly": true, - "type": "string", - "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval." + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/BatchStats" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, "name": { - "readOnly": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "type": "string", - "description": "Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the \"fileSearchStores/\" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated." + "readOnly": true + }, + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "readOnly": true }, "displayName": { - "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "description": "Required. The user-defined name of this batch.", "type": "string" }, - "pendingDocumentsCount": { - "readOnly": true, + "createTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", "type": "string", + "readOnly": true + }, + "priority": { "format": "int64", - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed." + "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" + }, + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The time at which the batch was last updated.", + "type": "string" } } }, - "GenerateContentResponse": { + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "type": "object", "properties": { - "responseId": { - "readOnly": true, - "type": "string", - "description": "Output only. response_id is used to identify each response." - }, - "promptFeedback": { - "$ref": "#/components/schemas/PromptFeedback", - "description": "Returns the prompt's feedback related to the content filters." - }, - "modelStatus": { - "$ref": "#/components/schemas/ModelStatus", - "description": "Output only. The current model status of this model.", - "readOnly": true - }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "readOnly": true, - "type": "string" + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "candidates": { - "description": "Candidate responses from the model.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Candidate" + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." } - }, - "usageMetadata": { - "$ref": "#/components/schemas/UsageMetadata", - "description": "Output only. Metadata on the generation requests' token usage.", - "readOnly": true } - }, - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", - "type": "object" + } }, - "CitationMetadata": { + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", + "type": "object", "properties": { - "citationSources": { - "items": { - "$ref": "#/components/schemas/CitationSource" - }, - "type": "array", - "description": "Citations to sources for a specific response." + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" + }, + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } - }, - "type": "object", - "description": "A collection of source attributions for a piece of content." + } }, - "GenerateContentBatchOutput": { + "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", - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "properties": { - "responsesFile": { - "readOnly": true, - "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + "category": { + "x-enum-descriptions": [ + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ], + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ], + "description": "Required. The category for this setting.", + "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.", - "readOnly": true, - "$ref": "#/components/schemas/InlinedResponses" + "threshold": { + "description": "Required. Controls the probability threshold at which harm is blocked.", + "type": "string", + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ], + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" + ] } } }, - "InlinedEmbedContentResponse": { + "SpeakerVoiceConfig": { + "description": "The configuration for a single speaker in a multi speaker setup.", + "type": "object", "properties": { - "error": { - "readOnly": true, - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "description": "Output only. The response to the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse" + "speaker": { + "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "type": "string" }, - "metadata": { - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "readOnly": true, - "type": "object" + "voiceConfig": { + "description": "Required. The configuration for the voice to use.", + "$ref": "#/components/schemas/VoiceConfig" } - }, - "description": "The response to a single request in the batch.", - "type": "object" + } }, - "Corpus": { + "ListGeneratedFilesResponse": { + "description": "Response for `ListGeneratedFiles`.", "type": "object", - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "properties": { - "createTime": { - "description": "Output only. The Timestamp of when the `Corpus` was created.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`" + "generatedFiles": { + "description": "The list of `GeneratedFile`s.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GeneratedFile" + } }, - "displayName": { - "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", "type": "string" } } }, - "WebSearch": { - "properties": {}, - "type": "object", - "description": "Standard web search for grounding and related configurations." - }, - "TunedModel": { + "ListModelsResponse": { + "description": "Response from `ListModel` containing a paginated list of Models.", "type": "object", - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "topK": { - "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model.", - "type": "integer", - "format": "int32" - }, - "tunedModelSource": { - "$ref": "#/components/schemas/TunedModelSource", - "description": "Optional. TunedModel to use as the starting point for training the new model." + "models": { + "items": { + "$ref": "#/components/schemas/Model" + }, + "description": "The returned Models.", + "type": "array" }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "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" - }, - "state": { + } + } + }, + "SafetyRating": { + "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", + "type": "object", + "properties": { + "category": { + "description": "Required. The category for this rating.", "type": "string", - "description": "Output only. The state of the tuned model.", - "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." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true ], "enum": [ - "STATE_UNSPECIFIED", - "CREATING", - "ACTIVE", - "FAILED" + "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" ] }, - "name": { - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", - "readOnly": true, - "type": "string" - }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" - }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" - }, - "updateTime": { - "description": "Output only. The timestamp when this model was updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "temperature": { - "type": "number", - "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." - }, - "topP": { - "type": "number", - "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." + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" }, - "createTime": { - "description": "Output only. The timestamp when this model was created.", - "readOnly": true, + "probability": { + "description": "Required. The probability of harm for this content.", "type": "string", - "format": "google-datetime" - }, - "readerProjectNumbers": { + "x-enum-descriptions": [ + "Probability is unspecified.", + "Content has a negligible chance of being unsafe.", + "Content has a low chance of being unsafe.", + "Content has a medium chance of being unsafe.", + "Content has a high chance of being unsafe." + ], + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ] + } + } + }, + "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": { - "type": "string", - "format": "int64" + "$ref": "#/components/schemas/Corpus" }, - "type": "array", - "description": "Optional. List of project numbers that have read access to the tuned model." + "description": "The returned corpora.", + "type": "array" }, - "description": { - "type": "string", - "description": "Optional. A short description of this model." + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } } }, - "Part": { + "RetrievedContext": { + "description": "Chunk from context retrieved by the file search tool.", + "type": "object", "properties": { - "mediaResolution": { - "$ref": "#/components/schemas/MediaResolution", - "description": "Optional. Media resolution for the input media." - }, - "thoughtSignature": { - "type": "string", - "format": "byte", - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests." - }, - "thought": { - "type": "boolean", - "description": "Optional. Indicates if the part is thought from the model." - }, - "partMetadata": { - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" - }, - "functionResponse": { - "$ref": "#/components/schemas/FunctionResponse", - "description": "The result output of a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model." - }, - "videoMetadata": { - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", - "$ref": "#/components/schemas/VideoMetadata" - }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" - }, - "fileData": { - "$ref": "#/components/schemas/FileData", - "description": "URI based data." - }, - "functionCall": { - "$ref": "#/components/schemas/FunctionCall", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." - }, - "toolCall": { - "$ref": "#/components/schemas/ToolCall", - "description": "Server-side tool call. This field is populated when the model predicts a tool invocation that should be executed on the server. The client is expected to echo this message back to the API." + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "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`.", - "$ref": "#/components/schemas/ToolResponse" + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" }, - "executableCode": { - "$ref": "#/components/schemas/ExecutableCode", - "description": "Code generated by the model that is meant to be executed." + "fileSearchStore": { + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", + "type": "string" }, - "text": { - "type": "string", - "description": "Inline text." + "title": { + "description": "Optional. Title of the document.", + "type": "string" }, - "codeExecutionResult": { - "$ref": "#/components/schemas/CodeExecutionResult", - "description": "Result of executing the `ExecutableCode`." + "customMetadata": { + "description": "Optional. User-provided metadata about the retrieved context.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + } } - }, - "type": "object", - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." + } }, - "Blob": { + "ExecutableCode": { + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", "type": "object", - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "properties": { - "mimeType": { + "language": { + "description": "Required. Programming language of the `code`.", "type": "string", - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats)." + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." + ], + "enum": [ + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ] + }, + "id": { + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", + "type": "string" }, - "data": { - "type": "string", - "format": "byte", - "description": "Raw bytes for media formats." + "code": { + "description": "Required. The code to be executed.", + "type": "string" } } }, - "InlinedEmbedContentRequests": { + "VoiceConfig": { + "description": "The configuration for the voice to use.", "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "type": "array", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - } + "prebuiltVoiceConfig": { + "description": "The configuration for the prebuilt voice to use.", + "$ref": "#/components/schemas/PrebuiltVoiceConfig" } } }, - "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.", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "type": "object", "properties": { - "startTime": { - "type": "string", - "format": "google-datetime", - "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start." - }, - "endTime": { - "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.", - "type": "string", - "format": "google-datetime" - } - } - }, - "CachedContent": { - "properties": { - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" - }, - "createTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. Creation time of the cache entry." + "generationConfig": { + "description": "Optional. Configuration options for model generation and outputs.", + "$ref": "#/components/schemas/GenerationConfig" }, - "expireTime": { - "type": "string", - "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." + "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" }, "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" }, - "displayName": { - "type": "string", - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters." + "serviceTier": { + "x-enum-descriptions": [ + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "enum": [ + "unspecified", + "standard", + "flex", + "priority" + ], + "description": "Optional. The service tier of the request.", + "type": "string" + }, + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" }, "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "type": "array", "items": { "$ref": "#/components/schemas/Content" - } - }, - "updateTime": { - "description": "Output only. When the cache entry was last updated in UTC time.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "ttl": { - "type": "string", - "format": "google-duration", - "description": "Input only. New TTL for this resource, input only." - }, - "name": { - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", - "readOnly": true, - "type": "string" - }, - "usageMetadata": { - "$ref": "#/components/schemas/CachedContentUsageMetadata", - "description": "Output only. Metadata on the usage of the cached content.", - "readOnly": true - }, - "toolConfig": { - "$ref": "#/components/schemas/ToolConfig", - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." + }, + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", + "type": "array" }, "tools": { - "type": "array", - "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", "items": { "$ref": "#/components/schemas/Tool" - } - } - }, - "type": "object", - "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for." - }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", - "type": "object", - "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", - "type": "string" + }, + "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" }, - "operations": { - "type": "array", - "description": "A list of operations that matches the specified filter in the request.", - "items": { - "$ref": "#/components/schemas/Operation" - } + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" }, - "unreachable": { + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" + }, + "safetySettings": { "items": { - "type": "string" + "$ref": "#/components/schemas/SafetySetting" }, - "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.", + "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" } } @@ -3763,106 +4250,70 @@ "type": "object", "properties": { "file": { - "$ref": "#/components/schemas/File", - "description": "Optional. Metadata for the file to create." + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" } } }, + "TransferOwnershipResponse": { + "description": "Response from `TransferOwnership`.", + "type": "object", + "properties": {} + }, "SemanticRetrieverChunk": { + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "type": "object", "properties": { "source": { "readOnly": true, - "type": "string", - "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`" + "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, - "type": "string", - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "type": "string" } - }, - "type": "object", - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." + } }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", + "SearchEntryPoint": { + "description": "Google search entry point.", "type": "object", "properties": { - "nextPageToken": { - "type": "string", - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call." + "renderedContent": { + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "type": "string" }, - "files": { - "type": "array", - "description": "The list of `File`s.", - "items": { - "$ref": "#/components/schemas/File" - } + "sdkBlob": { + "format": "byte", + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "type": "string" } } }, - "TuningExamples": { - "properties": { - "examples": { - "type": "array", - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", - "items": { - "$ref": "#/components/schemas/TuningExample" - } - } - }, - "description": "A set of tuning examples. Can be training or validation data.", - "type": "object" - }, - "CountTokensResponse": { + "GroundingAttribution": { + "description": "Attribution for a source that contributed to an answer.", "type": "object", - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", "properties": { - "cachedContentTokenCount": { - "type": "integer", - "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)." - }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were processed in the cached content." + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "$ref": "#/components/schemas/AttributionSourceId", + "readOnly": true }, - "totalTokens": { - "type": "integer", - "format": "int32", - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative." + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" } } }, - "FunctionResponseBlob": { - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", + "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": { - "mimeType": { - "type": "string", - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats)." + "id": { + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "type": "string" }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" - } - } - }, - "ToolResponse": { - "properties": { "toolType": { "x-enum-descriptions": [ "Unspecified tool type.", @@ -3880,815 +4331,736 @@ "GOOGLE_MAPS", "FILE_SEARCH" ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "description": "Required. The type of tool that was called.", + "type": "string" + }, + "args": { + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + } + }, + "SpeechConfig": { + "description": "Config for speech generation and transcription.", + "type": "object", + "properties": { + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + }, + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", "type": "string" }, - "id": { - "description": "Optional. The identifier of the tool call this response is for.", + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" + } + } + }, + "InputConfig": { + "description": "Configures the input to the batch request.", + "type": "object", + "properties": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" + }, + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" - }, - "response": { - "type": "object", - "description": "Optional. The tool response.", - "additionalProperties": { - "description": "Properties of the object." - } } - }, - "type": "object", - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`." + } }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "type": "object", "properties": { - "responseMimeType": { - "type": "string", - "description": "Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types." - }, - "stopSequences": { - "type": "array", - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", - "items": { - "type": "string" - } + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "type": "string" }, - "topK": { - "type": "integer", - "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." + "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 }, - "candidateCount": { - "type": "integer", - "format": "int32", - "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)" + "displayName": { + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"", + "type": "string" }, - "speechConfig": { - "$ref": "#/components/schemas/SpeechConfig", - "description": "Optional. The speech generation config." + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "type": "string", + "readOnly": true + } + } + }, + "File": { + "description": "A file uploaded to the API. Next ID: 15", + "type": "object", + "properties": { + "sizeBytes": { + "format": "int64", + "description": "Output only. Size of the file in bytes.", + "type": "string", + "readOnly": true }, - "mediaResolution": { + "expirationTime": { + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", "type": "string", - "description": "Optional. If specified, the media resolution specified will be used.", + "readOnly": true + }, + "state": { "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." ], "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ] - }, - "presencePenalty": { - "type": "number", - "format": "float", - "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary." - }, - "frequencyPenalty": { - "type": "number", - "format": "float", - "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit." - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" + "STATE_UNSPECIFIED", + "PROCESSING", + "ACTIVE", + "FAILED" + ], + "readOnly": true, + "description": "Output only. Processing state of the File.", + "type": "string" }, - "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" + "sha256Hash": { + "readOnly": true, + "description": "Output only. SHA-256 hash of the uploaded bytes.", + "type": "string", + "format": "byte" }, - "maxOutputTokens": { - "type": "integer", - "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." + "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" }, - "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" + "createTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp of when the `File` was created.", + "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" + "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" }, - "responseModalities": { - "items": { - "type": "string", - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ] - }, - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", - "type": "array" + "videoMetadata": { + "description": "Output only. Metadata for a video.", + "$ref": "#/components/schemas/VideoFileMetadata", + "readOnly": true }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "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" }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + "error": { + "description": "Output only. Error status if File processing failed.", + "$ref": "#/components/schemas/Status", + "readOnly": true }, - "seed": { - "type": "integer", - "format": "int32", - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed." + "downloadUri": { + "description": "Output only. The download uri of the `File`.", + "type": "string", + "readOnly": true }, - "thinkingConfig": { - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", - "$ref": "#/components/schemas/ThinkingConfig" + "updateTime": { + "description": "Output only. The timestamp of when the `File` was last updated.", + "type": "string", + "readOnly": true, + "format": "google-datetime" }, - "logprobs": { - "type": "integer", - "format": "int32", - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]." + "uri": { + "description": "Output only. The uri of the `File`.", + "type": "string", + "readOnly": true }, - "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.", - "$ref": "#/components/schemas/Schema" + "mimeType": { + "description": "Output only. MIME type of the file.", + "type": "string", + "readOnly": true } } }, - "CitationSource": { + "EmbeddingUsageMetadata": { + "description": "Metadata on the usage of the embedding request.", "type": "object", - "description": "A citation to a source for a portion of a specific response.", "properties": { - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", - "type": "string" - }, - "startIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes." - }, - "endIndex": { - "description": "Optional. End of the attributed segment, exclusive.", + "promptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", "type": "integer", + "readOnly": true, "format": "int32" - } - } - }, - "InputConfig": { - "properties": { - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedRequests" }, - "fileName": { - "type": "string", - "description": "The name of the `File` containing the input requests." - } - }, - "type": "object", - "description": "Configures the input to the batch request." - }, - "GroundingChunkStringList": { - "properties": { - "values": { + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", "type": "array", - "description": "The string values of the list.", + "readOnly": true, "items": { - "type": "string" - } - } - }, - "type": "object", - "description": "A list of string values." - }, - "CreateFileResponse": { - "type": "object", - "description": "Response for `CreateFile`.", - "properties": { - "file": { - "$ref": "#/components/schemas/File", - "description": "Metadata for the created file." + "$ref": "#/components/schemas/ModalityTokenCount" + } } } }, - "ListCorporaResponse": { + "TuningTask": { + "description": "Tuning tasks that create tuned models.", "type": "object", - "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", "properties": { - "corpora": { - "description": "The returned corpora.", - "type": "array", + "snapshots": { "items": { - "$ref": "#/components/schemas/Corpus" - } + "$ref": "#/components/schemas/TuningSnapshot" + }, + "readOnly": true, + "description": "Output only. Metrics collected during tuning.", + "type": "array" }, - "nextPageToken": { + "completeTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. The timestamp when tuning this model completed.", + "type": "string" + }, + "hyperparameters": { + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", + "$ref": "#/components/schemas/Hyperparameters" + }, + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" + }, + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "readOnly": true, + "format": "google-datetime" } } }, - "ImageSearch": { - "properties": {}, - "description": "Image search for grounding and related configurations.", - "type": "object" - }, - "ContentEmbedding": { - "description": "A list of floats representing an embedding.", + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "type": "object", "properties": { - "shape": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array", - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "items": { - "type": "integer", - "format": "int32" + "type": "string" } - }, - "values": { - "items": { - "type": "number", - "format": "float" - }, - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "type": "array" } } }, - "Tool": { + "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": { - "googleSearch": { - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "$ref": "#/components/schemas/GoogleSearch" - }, - "googleSearchRetrieval": { - "description": "Optional. Retrieval tool that is powered by Google search.", - "$ref": "#/components/schemas/GoogleSearchRetrieval" - }, - "fileSearch": { - "$ref": "#/components/schemas/FileSearch", - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." - }, - "functionDeclarations": { - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "type": "array" - }, - "codeExecution": { - "$ref": "#/components/schemas/CodeExecution", - "description": "Optional. Enables the model to execute code as part of generation." - }, - "mcpServers": { + "contents": { "items": { - "$ref": "#/components/schemas/McpServer" + "$ref": "#/components/schemas/Content" }, - "description": "Optional. MCP Servers to connect to.", + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", "type": "array" }, - "computerUse": { - "$ref": "#/components/schemas/ComputerUse", - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations." - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "googleMaps": { - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", - "$ref": "#/components/schemas/GoogleMaps" + "generateContentRequest": { + "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", + "$ref": "#/components/schemas/GenerateContentRequest" } - }, - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", - "type": "object" + } }, - "InlinedEmbedContentRequest": { + "TransferOwnershipRequest": { + "description": "Request to transfer the ownership of the tuned model.", + "type": "object", + "properties": { + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", + "type": "string" + } + } + }, + "CustomLongRunningOperation": { "type": "object", - "description": "The request to be processed in the batch.", "properties": { + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "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" + }, "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", - "description": "Optional. The metadata to be associated with the request.", "additionalProperties": { - "description": "Properties of the object." + "description": "Properties of the object. Contains field @type with type URL." } }, - "request": { - "$ref": "#/components/schemas/EmbedContentRequest", - "description": "Required. The request to be processed in the batch." + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } } } }, - "GenerateContentBatch": { - "description": "A resource representing a batch of `GenerateContent` requests.", + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", "type": "object", "properties": { - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "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" + } }, - "priority": { - "type": "string", - "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." + "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" }, - "output": { - "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput" + "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" }, - "state": { - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "enum": [ - "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", - "description": "Output only. The state of the batch." + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" }, - "name": { - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "readOnly": true, - "type": "string" + "frequencyPenalty": { + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number", + "format": "float" }, - "updateTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was last updated." + "seed": { + "format": "int32", + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "type": "integer" }, - "batchStats": { - "$ref": "#/components/schemas/BatchStats", - "description": "Output only. Stats about the batch.", - "readOnly": true + "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" }, - "createTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created." + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "topK": { + "format": "int32", + "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "type": "integer" }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" + "presencePenalty": { + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number", + "format": "float" }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputConfig" - } - } - }, - "TopCandidates": { - "properties": { - "candidates": { - "description": "Sorted by log probability in descending order.", + "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.", + "$ref": "#/components/schemas/ImageConfig" + }, + "maxOutputTokens": { + "format": "int32", + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "type": "integer" + }, + "thinkingConfig": { + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.", + "$ref": "#/components/schemas/ThinkingConfig" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." + }, + "responseModalities": { + "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", "type": "array", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" + "type": "string", + "x-enum-descriptions": [ + "Default value.", + "Indicates the model should return text.", + "Indicates the model should return images.", + "Indicates the model should return audio.", + "Indicates the model should return video." + ], + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "AUDIO", + "VIDEO" + ] } - } - }, - "type": "object", - "description": "Candidates with top log probabilities at each decoding step." - }, - "Permission": { - "type": "object", - "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", - "properties": { - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only." }, - "granteeType": { + "enableEnhancedCivicAnswers": { + "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", + "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.", + "type": "string" + }, + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "type": "string", - "description": "Optional. Immutable. The type of the grantee.", "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." + "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": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" ] }, - "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" - ], - "type": "string", - "description": "Required. The role granted by this permission." + "candidateCount": { + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer", + "format": "int32" }, - "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" + "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" } } }, - "FunctionCall": { + "GoogleAiGenerativelanguageV1betaGroundingSupport": { + "description": "Grounding support.", + "type": "object", "properties": { - "name": { - "type": "string", - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." + "segment": { + "description": "Segment of the content this support belongs to.", + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" }, - "args": { - "description": "Optional. The function parameters and values in JSON object format.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "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", + "readOnly": true, + "items": { + "type": "integer", + "format": "int32" + } }, - "id": { - "description": "Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.", - "type": "string" + "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" + } } - }, - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "type": "object" + } }, - "VideoFileMetadata": { + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", "type": "object", - "description": "Metadata for a video `File`.", "properties": { - "videoDuration": { - "type": "string", - "format": "google-duration", - "description": "Duration of the video." + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" + }, + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } } }, - "ToolCall": { + "InlinedResponses": { + "description": "The responses to the requests in the batch.", "type": "object", - "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "properties": { - "args": { - "type": "object", - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "additionalProperties": { - "description": "Properties of the object." + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/InlinedResponse" } - }, - "toolType": { - "description": "Required. The type of tool that was called.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ], - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ] - }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." } } }, - "EmbedContentRequest": { + "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", - "description": "Request containing the `Content` for the model to embed.", "properties": { - "model": { - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "type": "string" + "minItems": { + "description": "Optional. Minimum number of the elements for Type.ARRAY.", + "type": "string", + "format": "int64" }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "taskType": { + "type": { + "description": "Required. Data type.", "type": "string", - "description": "Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "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." + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." ], "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" ] }, - "outputDimensionality": { - "type": "integer", - "format": "int32", - "description": "Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`)." + "maximum": { + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", + "type": "number" + }, + "title": { + "description": "Optional. The title of the schema.", + "type": "string" + }, + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." + }, + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" + }, + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "type": "string" + }, + "format": { + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", + "type": "string" + }, + "anyOf": { + "items": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "type": "array" + }, + "enum": { + "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" + }, + "minimum": { + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", + "type": "number", + "format": "double" + }, + "required": { + "items": { + "type": "string" + }, + "description": "Optional. Required properties of Type.OBJECT.", + "type": "array" + }, + "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." + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" }, - "title": { - "description": "Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "minProperties": { + "format": "int64", + "description": "Optional. Minimum number of the properties for Type.OBJECT.", "type": "string" - } - } - }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", - "type": "object", - "properties": { - "enableWidget": { - "type": "boolean", - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response." - } - } - }, - "RetrievalMetadata": { - "type": "object", - "description": "Metadata related to retrieval in the grounding flow.", - "properties": { - "googleSearchDynamicRetrievalScore": { - "type": "number", - "format": "float", - "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search." - } - } - }, - "Content": { - "properties": { - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "type": "array", - "items": { - "$ref": "#/components/schemas/Part" - } }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "minLength": { + "format": "int64", + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", "type": "string" - } - }, - "type": "object", - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." - }, - "FunctionCallingConfig": { - "properties": { - "mode": { - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "type": "string", - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ], - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ] }, - "allowedFunctionNames": { + "maxLength": { + "format": "int64", + "description": "Optional. Maximum length of the Type.STRING", + "type": "string" + }, + "propertyOrdering": { + "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "type": "array", "items": { "type": "string" - }, - "type": "array", - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." - } - }, - "description": "Configuration for specifying function calling behavior.", - "type": "object" - }, - "ImageConfig": { - "properties": { - "aspectRatio": { + } + }, + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + } + }, + "maxProperties": { + "description": "Optional. Maximum number of the properties for Type.OBJECT.", "type": "string", - "description": "Optional. The aspect ratio of the image to generate. Supported aspect ratios: `1:1`, `1:4`, `4:1`, `1:8`, `8:1`, `2:3`, `3:2`, `3:4`, `4:3`, `4:5`, `5:4`, `9:16`, `16:9`, or `21:9`. If not specified, the model will choose a default aspect ratio based on any reference images provided." + "format": "int64" }, - "imageSize": { - "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`.", + "maxItems": { + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY.", "type": "string" } - }, - "type": "object", - "description": "Config for image generation features." + } }, - "EmbedContentResponse": { + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", + "type": "object", "properties": { - "embedding": { - "$ref": "#/components/schemas/ContentEmbedding", - "description": "Output only. The embedding generated from the input content.", - "readOnly": true - }, - "usageMetadata": { - "$ref": "#/components/schemas/EmbeddingUsageMetadata", - "readOnly": true, - "description": "Output only. The usage metadata for the request." + "dynamicRetrievalConfig": { + "description": "Specifies the dynamic retrieval configuration for the given source.", + "$ref": "#/components/schemas/DynamicRetrievalConfig" } - }, - "description": "The response to an `EmbedContentRequest`.", - "type": "object" + } }, - "SafetyRating": { + "Operation": { + "description": "This resource represents a long-running operation that is the result of a network API call.", "type": "object", - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", "properties": { - "blocked": { - "description": "Was this content blocked because of this rating?", + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", + "type": "string" + }, + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" + }, + "done": { + "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available.", "type": "boolean" }, - "category": { - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "type": "string", - "description": "Required. The category for this rating.", - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ] + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "probability": { - "type": "string", - "description": "Required. The probability of harm for this content.", - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ], - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ] + "response": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } } } }, - "ListFileSearchStoresResponse": { - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "Blob": { + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "type": "object", "properties": { - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "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" }, - "fileSearchStores": { - "items": { - "$ref": "#/components/schemas/FileSearchStore" - }, - "type": "array", - "description": "The returned rag_stores." + "data": { + "format": "byte", + "description": "Raw bytes for media formats.", + "type": "string" } } }, - "RetrievedContext": { + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "type": "object", + "properties": {} + }, + "InlinedEmbedContentRequests": { + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "type": "object", - "description": "Chunk from context retrieved by the file search tool.", "properties": { - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "customMetadata": { + "requests": { + "description": "Required. The requests to be processed in the batch.", "type": "array", - "description": "Optional. User-provided metadata about the retrieved context.", - "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" - } - }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" - }, - "title": { - "type": "string", - "description": "Optional. Title of the document." - }, - "fileSearchStore": { - "type": "string", - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + } } } }, - "SpeakerVoiceConfig": { + "DynamicRetrievalConfig": { + "description": "Describes the options to customize dynamic retrieval.", + "type": "object", "properties": { - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", - "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" }, - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "Required. The configuration for the voice to use." + "mode": { + "x-enum-descriptions": [ + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" + ], + "description": "The mode of the predictor to be used in dynamic retrieval.", + "type": "string" } - }, - "description": "The configuration for a single speaker in a multi speaker setup.", - "type": "object" + } }, "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "type": "object", "properties": { "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" }, "documents": { "description": "The returned `Document`s.", @@ -4697,1726 +5069,1430 @@ "$ref": "#/components/schemas/Document" } } - }, - "type": "object", - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`." + } }, - "UploadToFileSearchStoreRequest": { + "UrlMetadata": { + "description": "Context of the a single url retrieval.", + "type": "object", "properties": { - "displayName": { - "type": "string", - "description": "Optional. Display name of the created document." - }, - "customMetadata": { - "type": "array", - "description": "Custom metadata to be associated with the data.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } + "retrievedUrl": { + "description": "Retrieved url by the tool.", + "type": "string" }, - "mimeType": { + "urlRetrievalStatus": { + "description": "Status of the url retrieval.", "type": "string", - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content." - }, - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters." - } - }, - "type": "object", - "description": "Request for `UploadToFileSearchStore`." - }, - "ModalityTokenCount": { - "type": "object", - "description": "Represents token counting info for a single modality.", - "properties": { - "modality": { "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." + "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": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], - "type": "string", - "description": "The modality associated with this token count." - }, - "tokenCount": { - "type": "integer", - "format": "int32", - "description": "Number of tokens." + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] } } }, - "Model": { + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", + "type": "object", "properties": { - "maxTemperature": { - "description": "The maximum temperature this model can use.", - "type": "number", - "format": "float" - }, - "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.", + "passageId": { + "readOnly": true, + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "type": "string" }, - "inputTokenLimit": { - "type": "integer", - "format": "int32", - "description": "Maximum number of input tokens allowed for this model." - }, - "topK": { - "type": "integer", + "partIndex": { "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." - }, - "supportedGenerationMethods": { - "items": { - "type": "string" - }, - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", - "type": "array" - }, - "name": { - "type": "string", - "description": "Required. The resource name of the `Model`. Refer to [Model variants](https://ai.google.dev/gemini-api/docs/models/gemini#model-variations) for all allowed values. Format: `models/{model}` with a `{model}` naming convention of: * \"{base_model_id}-{version}\" Examples: * `models/gemini-1.5-flash-001`" - }, - "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" - }, - "topP": { - "type": "number", - "format": "float", - "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model." - }, - "baseModelId": { - "type": "string", - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`" - }, - "description": { - "type": "string", - "description": "A short description of the model." - }, - "outputTokenLimit": { + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "type": "integer", - "format": "int32", - "description": "Maximum number of output tokens available for this model." - }, - "version": { - "type": "string", - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" + "readOnly": true } - }, - "type": "object", - "description": "Information about a Generative Language Model." + } }, - "Hyperparameters": { - "properties": { - "learningRate": { - "type": "number", - "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." - }, - "learningRateMultiplier": { - "type": "number", - "format": "float", - "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used." - }, - "epochCount": { - "type": "integer", - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." - }, - "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" - } - }, + "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", - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance" - }, - "StringList": { "properties": { - "values": { - "items": { - "type": "string" - }, - "type": "array", - "description": "The string values of the metadata to store." + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" } - }, - "type": "object", - "description": "User provided string values assigned to a single metadata key." + } }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "FileSearch": { + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "type": "object", "properties": { - "request": { - "$ref": "#/components/schemas/GenerateContentRequest", - "description": "Required. The request to be processed in the batch." + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." + "fileSearchStoreNames": { + "items": { + "type": "string" }, - "type": "object" + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "type": "array" + }, + "topK": { + "format": "int32", + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "type": "integer" } } }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", "type": "object", "properties": { - "thinkingBudget": { - "description": "The number of thoughts tokens that the model should generate.", - "type": "integer", - "format": "int32" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" }, - "thinkingLevel": { - "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." - ], - "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" - ], - "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" - }, - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" } } }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", "type": "object", "properties": { - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" }, - "maxTokensPerChunk": { - "type": "integer", + "logProbability": { + "format": "float", + "description": "The candidate's log probability.", + "type": "number" + }, + "tokenId": { "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." + "description": "The candidate\u2019s token id value.", + "type": "integer" } } }, - "SearchTypes": { + "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: 5", + "type": "object", "properties": { - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "name": { + "description": "The name of the MCPServer.", + "type": "string" }, - "imageSearch": { - "$ref": "#/components/schemas/ImageSearch", - "description": "Optional. Enables image search. Image bytes are returned." + "streamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses.", + "$ref": "#/components/schemas/StreamableHttpTransport" } - }, - "description": "Different types of search that can be enabled on the GoogleSearch tool.", - "type": "object" + } }, - "TuningTask": { + "LogprobsResult": { + "description": "Logprobs Result", "type": "object", - "description": "Tuning tasks that create tuned models.", "properties": { - "trainingData": { - "$ref": "#/components/schemas/Dataset", - "description": "Required. Input only. Immutable. The model training data." - }, - "completeTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model completed." - }, - "hyperparameters": { - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.", - "$ref": "#/components/schemas/Hyperparameters" + "topCandidates": { + "description": "Length = total number of decoding steps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/TopCandidates" + } }, - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "type": "number", + "format": "float" }, - "snapshots": { - "description": "Output only. Metrics collected during tuning.", - "readOnly": true, + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", "type": "array", "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/LogprobsResultCandidate" } } } }, - "UrlMetadata": { - "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" - }, - "urlRetrievalStatus": { - "type": "string", - "description": "Status of the url retrieval.", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Url retrieval is successful.", - "Url retrieval is failed due to error.", - "Url retrieval is failed because the content is behind paywall.", - "Url retrieval is failed because the content is unsafe." - ], - "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" - ] - } - }, - "description": "Context of the a single url retrieval.", - "type": "object" - }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "Permission": { + "description": "Permission resource grants user, group or the rest of the world access to the PaLM API resource (e.g. a tuned model, corpus). A role is a collection of permitted operations that allows users to perform specific actions on PaLM API resources. To make them available to users, groups, or service accounts, you assign roles. When you assign a role, you grant permissions that the role contains. There are three concentric roles. Each role is a superset of the previous role's permitted operations: - reader can use the resource (e.g. tuned model, corpus) for inference - writer has reader's permissions and additionally can edit and share - owner has writer's permissions and additionally can delete", "type": "object", "properties": { - "name": { - "type": "string", - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`" - }, - "state": { + "granteeType": { + "description": "Optional. Immutable. The type of the grantee.", "type": "string", - "description": "Output only. Processing state of the File.", "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." + "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": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ], - "readOnly": true - }, - "videoMetadata": { - "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" + ] }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "readOnly": true, + "emailAddress": { + "description": "Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE.", "type": "string" }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", + "name": { "readOnly": true, - "type": "string", - "format": "byte" - }, - "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\"", + "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" }, - "expirationTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire." - }, - "source": { + "role": { "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." + "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": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" ], - "description": "Source of the File.", - "type": "string" - }, - "downloadUri": { - "readOnly": true, - "type": "string", - "description": "Output only. The download uri of the `File`." - }, - "sizeBytes": { - "readOnly": true, - "type": "string", - "format": "int64", - "description": "Output only. Size of the file in bytes." - }, - "updateTime": { - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "uri": { - "description": "Output only. The uri of the `File`.", - "readOnly": true, + "description": "Required. The role granted by this permission.", "type": "string" - }, - "createTime": { - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "error": { - "$ref": "#/components/schemas/Status", - "readOnly": true, - "description": "Output only. Error status if File processing failed." } } }, - "SafetySetting": { + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", + "type": "object", "properties": { - "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" - ], - "description": "Required. Controls the probability threshold at which harm is blocked.", + "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" }, - "category": { - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "description": "Required. The category for this setting.", + "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" + }, + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", "type": "string" + }, + "endIndex": { + "format": "int32", + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer" } - }, - "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" + } }, - "UrlContextMetadata": { - "description": "Metadata related to url context retrieval tool.", + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", "type": "object", "properties": { - "urlMetadata": { - "description": "List of url context.", + "values": { + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", "type": "array", "items": { - "$ref": "#/components/schemas/UrlMetadata" + "format": "float", + "type": "number" + } + }, + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", + "type": "array", + "items": { + "type": "integer", + "format": "int32" } } } }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "type": "object", "properties": { - "prebuiltVoiceConfig": { - "$ref": "#/components/schemas/PrebuiltVoiceConfig", - "description": "The configuration for the prebuilt voice to use." + "files": { + "description": "The registered files to be used when calling GenerateContent.", + "type": "array", + "items": { + "$ref": "#/components/schemas/File" + } } } }, - "Image": { - "description": "Chunk from image search.", + "CodeExecutionResult": { + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "type": "object", "properties": { - "sourceUri": { - "type": "string", - "description": "The web page URI for attribution." - }, - "imageUri": { - "type": "string", - "description": "The image asset URL." + "outcome": { + "x-enum-descriptions": [ + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "description": "Required. Outcome of the code execution.", + "type": "string" }, - "title": { - "type": "string", - "description": "The title of the web page that the image is from." + "id": { + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", + "type": "string" }, - "domain": { - "type": "string", - "description": "The root domain of the web page that the image is from, e.g. \"example.com\"." + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" } } }, - "ReviewSnippet": { - "type": "object", - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", + "VideoMetadata": { "properties": { - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "fps": { + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", + "type": "number", + "format": "double" }, - "title": { + "startOffset": { + "description": "Optional. The start offset of the video.", "type": "string", - "description": "Title of the review." + "format": "google-duration" }, - "reviewId": { - "type": "string", - "description": "The ID of the review snippet." + "endOffset": { + "format": "google-duration", + "description": "Optional. The end offset of the video.", + "type": "string" } - } + }, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "type": "object", + "deprecated": true }, - "Document": { + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "type": "object", - "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", - "readOnly": true, - "type": "string", - "format": "int64" + "tuningTask": { + "description": "Required. The tuning task that creates the tuned model.", + "$ref": "#/components/schemas/TuningTask" }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "description": { + "description": "Optional. A short description of this model.", + "type": "string" }, - "createTime": { - "description": "Output only. The Timestamp of when the `Document` was created.", + "updateTime": { + "format": "google-datetime", "readOnly": true, - "type": "string", - "format": "google-datetime" + "description": "Output only. The timestamp when this model was updated.", + "type": "string" }, - "mimeType": { - "readOnly": true, - "type": "string", - "description": "Output only. The mime type of the Document." + "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" }, - "state": { - "type": "string", - "description": "Output only. Current state of the `Document`.", - "readOnly": true, - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ], - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ] + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "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`", + "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" }, "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" + }, + "createTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created.", "type": "string", - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"" + "readOnly": true }, - "customMetadata": { - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array", - "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." - } - } - }, - "FileSearch": { - "properties": { "topK": { - "description": "Optional. The number of semantic retrieval chunks to retrieve.", - "type": "integer", - "format": "int32" + "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" }, - "fileSearchStoreNames": { + "readerProjectNumbers": { "items": { + "format": "int64", "type": "string" }, - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Optional. List of project numbers that have read access to the tuned model.", "type": "array" }, - "metadataFilter": { + "state": { + "x-enum-descriptions": [ + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." + ], + "enum": [ + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" + ], + "description": "Output only. The state of the tuned model.", "type": "string", - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks." + "readOnly": true + }, + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" + }, + "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" } - }, - "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." - }, - "TransferOwnershipResponse": { - "description": "Response from `TransferOwnership`.", - "type": "object", - "properties": {} + } }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "StreamableHttpTransport": { + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "type": "object", "properties": { - "uris": { - "items": { + "url": { + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "type": "string" + }, + "timeout": { + "description": "HTTP timeout for regular operations.", + "type": "string", + "format": "google-duration" + }, + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" + }, + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object", + "additionalProperties": { "type": "string" - }, - "type": "array", - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`." + } + }, + "sseReadTimeout": { + "format": "google-duration", + "description": "Timeout for SSE read operations.", + "type": "string" } } }, - "ListTunedModelsResponse": { + "Candidate": { + "description": "A response candidate generated from the model.", "type": "object", - "description": "Response from `ListTunedModels` containing a paginated list of Models.", "properties": { - "tunedModels": { + "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" + }, + "safetyRatings": { "items": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/SafetyRating" }, - "description": "The returned Models.", + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "type": "array" }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - } - } - }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", - "type": "object", - "properties": { - "generatedFiles": { + "groundingAttributions": { "items": { - "$ref": "#/components/schemas/GeneratedFile" + "$ref": "#/components/schemas/GroundingAttribution" }, - "description": "The list of `GeneratedFile`s.", + "readOnly": true, + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", "type": "array" }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "avgLogprobs": { + "readOnly": true, + "description": "Output only. Average log probability score of the candidate.", + "type": "number", + "format": "double" + }, + "index": { + "format": "int32", + "readOnly": true, + "description": "Output only. Index of the candidate in the list of response candidates.", + "type": "integer" + }, + "content": { + "readOnly": true, + "description": "Output only. Generated content returned from the model.", + "$ref": "#/components/schemas/Content" + }, + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "type": "integer", + "readOnly": true, + "format": "int32" + }, + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "$ref": "#/components/schemas/LogprobsResult", + "readOnly": true + }, + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "$ref": "#/components/schemas/CitationMetadata", + "readOnly": true + }, + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "$ref": "#/components/schemas/UrlContextMetadata", + "readOnly": true + }, + "finishReason": { + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ], + "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" + ], + "readOnly": true, + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", "type": "string" + }, + "groundingMetadata": { + "readOnly": true, + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "$ref": "#/components/schemas/GroundingMetadata" } } }, - "ListModelsResponse": { + "ImportFileRequest": { + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "type": "object", - "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "models": { + "customMetadata": { + "description": "Custom metadata to be associated with the file.", "type": "array", - "description": "The returned Models.", "items": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/CustomMetadata" } }, - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - } - } - }, - "TunedModelSource": { - "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" }, - "baseModel": { - "readOnly": true, - "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + "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" } - }, - "description": "Tuned model as a source for training a new model.", - "type": "object" + } }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", + "BatchStats": { + "description": "Stats about the batch.", "type": "object", "properties": { - "outcome": { - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ], - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "description": "Required. Outcome of the code execution.", + "failedRequestCount": { + "format": "int64", + "readOnly": true, + "description": "Output only. The number of requests that failed to be processed.", "type": "string" }, - "id": { + "requestCount": { + "format": "int64", + "description": "Output only. The number of requests in the batch.", "type": "string", - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." + "readOnly": true }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "successfulRequestCount": { + "format": "int64", + "readOnly": true, + "description": "Output only. The number of requests that were successfully processed.", "type": "string" + }, + "pendingRequestCount": { + "readOnly": true, + "description": "Output only. The number of requests that are still pending processing.", + "type": "string", + "format": "int64" } } }, - "FunctionResponse": { + "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": { - "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" - }, - "parts": { - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", - "type": "array", - "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } - }, - "id": { - "type": "string", - "description": "Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`." - }, - "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.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "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`." }, - "willContinue": { - "type": "boolean", - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`." + "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`." }, - "scheduling": { + "behavior": { + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", "type": "string", - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "x-enum-descriptions": [ "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + "If set, the system will wait to receive the function response before continuing the conversation.", + "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." ], "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" ] - } - }, - "type": "object", - "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction." - }, - "VideoMetadata": { - "type": "object", - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", - "deprecated": true, - "properties": { - "fps": { - "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0].", - "type": "number", - "format": "double" }, - "endOffset": { - "type": "string", - "format": "google-duration", - "description": "Optional. The end offset of the video." + "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" }, - "startOffset": { - "description": "Optional. The start offset of the video.", - "type": "string", - "format": "google-duration" - } - } - }, - "PrebuiltVoiceConfig": { - "type": "object", - "description": "The configuration for the prebuilt speaker to use.", - "properties": { - "voiceName": { - "type": "string", - "description": "The name of the preset voice to use." - } - } - }, - "FileData": { - "properties": { - "mimeType": { - "type": "string", - "description": "Optional. The IANA standard MIME type of the source data." + "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.", + "$ref": "#/components/schemas/Schema" }, - "fileUri": { - "description": "Required. URI.", + "description": { + "description": "Required. A brief description of the function.", "type": "string" + }, + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" } - }, - "type": "object", - "description": "URI based data." + } }, - "ListPermissionsResponse": { - "type": "object", - "description": "Response from `ListPermissions` containing a paginated list of permissions.", - "properties": { - "nextPageToken": { - "type": "string", - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." - }, - "permissions": { + "GroundingChunkStringList": { + "description": "A list of string values.", + "type": "object", + "properties": { + "values": { + "description": "The string values of the list.", "type": "array", - "description": "Returned permissions.", "items": { - "$ref": "#/components/schemas/Permission" + "type": "string" } } } }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "CachedContent": { + "description": "Content that has been preprocessed and can be used in subsequent request to GenerativeService. Cached content can be only used with model it was created for.", "type": "object", "properties": { - "serviceTier": { - "description": "Optional. The service tier of the request.", - "type": "string", - "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." - ], - "enum": [ - "unspecified", - "standard", - "flex", - "priority" - ] + "ttl": { + "format": "google-duration", + "description": "Input only. New TTL for this resource, input only.", + "type": "string" }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" + "updateTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. When the cache entry was last updated in UTC time.", + "type": "string" }, - "tools": { - "type": "array", - "description": "Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more.", - "items": { - "$ref": "#/components/schemas/Tool" - } + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" }, - "generationConfig": { - "$ref": "#/components/schemas/GenerationConfig", - "description": "Optional. Configuration options for model generation and outputs." + "createTime": { + "format": "google-datetime", + "readOnly": true, + "description": "Output only. Creation time of the cache entry.", + "type": "string" }, - "systemInstruction": { - "$ref": "#/components/schemas/Content", - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." + "expireTime": { + "format": "google-datetime", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", + "type": "string" }, - "cachedContent": { - "type": "string", - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`" + "name": { + "readOnly": true, + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "type": "string" }, "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, + "usageMetadata": { + "description": "Output only. Metadata on the usage of the cached content.", + "$ref": "#/components/schemas/CachedContentUsageMetadata", + "readOnly": true + }, "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.", + "description": "Optional. Input only. Immutable. The content to cache.", "type": "array", "items": { "$ref": "#/components/schemas/Content" } }, - "safetySettings": { - "items": { - "$ref": "#/components/schemas/SafetySetting" - }, + "tools": { + "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", "type": "array", - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications." - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" - } - } - }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", - "type": "object", - "properties": { - "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" + "items": { + "$ref": "#/components/schemas/Tool" + } }, - "functionCallingConfig": { - "$ref": "#/components/schemas/FunctionCallingConfig", - "description": "Optional. Function calling config." + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" }, - "retrievalConfig": { - "$ref": "#/components/schemas/RetrievalConfig", - "description": "Optional. Retrieval config." + "toolConfig": { + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", + "$ref": "#/components/schemas/ToolConfig" } } }, - "GroundingMetadata": { + "FunctionResponse": { + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "type": "object", - "description": "Metadata returned to client when grounding is enabled.", "properties": { - "retrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", - "$ref": "#/components/schemas/RetrievalMetadata" - }, - "searchEntryPoint": { - "$ref": "#/components/schemas/SearchEntryPoint", - "description": "Optional. Google search entry for the following-up web searches." + "name": { + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", + "type": "string" }, - "groundingChunks": { - "type": "array", - "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", - "items": { - "$ref": "#/components/schemas/GroundingChunk" - } + "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" }, - "imageSearchQueries": { - "type": "array", - "description": "Image search queries used for grounding.", - "items": { - "type": "string" - } + "willContinue": { + "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", + "type": "boolean" }, - "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.", + "scheduling": { + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ], + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", "type": "string" }, - "groundingSupports": { - "description": "List of grounding support.", - "type": "array", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + "response": { + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." } }, - "webSearchQueries": { - "type": "array", - "description": "Web search queries for the following-up web search.", + "parts": { "items": { - "type": "string" - } + "$ref": "#/components/schemas/FunctionResponsePart" + }, + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array" } } }, - "UrlContext": { - "properties": {}, + "EmbedContentBatch": { + "description": "A resource representing a batch of `EmbedContent` requests.", "type": "object", - "description": "Tool to support URL context retrieval." - }, - "GoogleSearch": { "properties": { - "timeRangeFilter": { - "$ref": "#/components/schemas/Interval", - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" }, - "searchTypes": { - "$ref": "#/components/schemas/SearchTypes", - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." - } - }, - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", - "type": "object" - }, - "InlinedResponses": { - "properties": { - "inlinedResponses": { - "items": { - "$ref": "#/components/schemas/InlinedResponse" - }, - "readOnly": true, - "type": "array", - "description": "Output only. The responses to the requests in the batch." - } - }, - "description": "The responses to the requests in the batch.", - "type": "object" - }, - "InlinedResponse": { - "properties": { - "error": { - "$ref": "#/components/schemas/Status", + "name": { "readOnly": true, - "description": "Output only. The error encountered while processing the request." + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "type": "string" }, - "response": { - "$ref": "#/components/schemas/GenerateContentResponse", - "description": "Output only. The response to the request.", + "output": { + "description": "Output only. The output of the batch request.", + "$ref": "#/components/schemas/EmbedContentBatchOutput", "readOnly": true }, - "metadata": { + "updateTime": { + "description": "Output only. The time at which the batch was last updated.", + "type": "string", "readOnly": true, - "type": "object", - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - } - } - }, - "type": "object", - "description": "The response to a single request in the batch." - }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", - "type": "object", - "properties": { - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "format": "google-datetime" }, - "headers": { - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - }, - "type": "object" + "displayName": { + "description": "Required. The user-defined name of this batch.", + "type": "string" }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "createTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", + "type": "string", + "readOnly": true + }, + "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" }, - "timeout": { + "state": { + "readOnly": true, + "description": "Output only. The state of the batch.", + "type": "string", + "x-enum-descriptions": [ + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." + ], + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ] + }, + "endTime": { + "description": "Output only. The time at which the batch processing completed.", "type": "string", - "format": "google-duration", - "description": "HTTP timeout for regular operations." + "readOnly": true, + "format": "google-datetime" }, - "sseReadTimeout": { - "type": "string", - "format": "google-duration", - "description": "Timeout for SSE read operations." - } - } - }, - "TransferOwnershipRequest": { - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - }, - "description": "Request to transfer the ownership of the tuned model.", - "type": "object" - }, - "AttributionSourceId": { - "properties": { - "groundingPassage": { - "$ref": "#/components/schemas/GroundingPassageId", - "description": "Identifier for an inline passage." + "batchStats": { + "description": "Output only. Stats about the batch.", + "$ref": "#/components/schemas/EmbedContentBatchStats", + "readOnly": true }, - "semanticRetrieverChunk": { - "$ref": "#/components/schemas/SemanticRetrieverChunk", - "description": "Identifier for a `Chunk` fetched via Semantic Retriever." - } - }, - "description": "Identifier for the source contributing to this attribution.", - "type": "object" - }, - "BatchEmbedContentsRequest": { - "type": "object", - "description": "Batch request to get embeddings from the model for a list of prompts.", - "properties": { - "requests": { - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "type": "array", - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputEmbedContentConfig" } } }, - "SearchEntryPoint": { + "GoogleAiGenerativelanguageV1betaSegment": { + "description": "Segment of the content.", "type": "object", - "description": "Google search entry point.", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "type": "integer", + "format": "int32" + }, + "startIndex": { + "format": "int32", + "description": "Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.", + "type": "integer" + }, + "text": { + "description": "The text corresponding to the segment from the response.", "type": "string" }, - "sdkBlob": { - "description": "Optional. Base64 encoded JSON representing array of tuple.", - "type": "string", - "format": "byte" + "endIndex": { + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer", + "format": "int32" } } }, - "UsageMetadata": { - "description": "Metadata on the generation request's token usage.", + "Model": { + "description": "Information about a Generative Language Model.", "type": "object", "properties": { - "candidatesTokensDetails": { - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were returned in the response.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "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" }, - "promptTokenCount": { - "type": "integer", - "format": "int32", - "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content." + "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" }, - "candidatesTokenCount": { - "type": "integer", + "outputTokenLimit": { "format": "int32", - "description": "Total number of tokens across all the generated response candidates." + "description": "Maximum number of output tokens available for this model.", + "type": "integer" }, - "toolUsePromptTokenCount": { - "description": "Output only. Number of tokens present in tool-use prompt(s).", - "readOnly": true, - "type": "integer", - "format": "int32" + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "cachedContentTokenCount": { - "description": "Number of tokens in the cached part of the prompt (the cached content)", + "maxTemperature": { + "format": "float", + "description": "The maximum temperature this model can use.", + "type": "number" + }, + "inputTokenLimit": { + "description": "Maximum number of input tokens allowed for this model.", "type": "integer", "format": "int32" }, - "totalTokenCount": { - "type": "integer", - "format": "int32", - "description": "Total token count for the generation request (prompt + response candidates)." + "temperature": { + "format": "float", + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model.", + "type": "number" }, - "thoughtsTokenCount": { - "readOnly": true, + "topK": { + "description": "For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter.", "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens of thoughts for thinking models." - }, - "toolUsePromptTokensDetails": { - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were processed for tool-use request inputs." + "format": "int32" }, - "promptTokensDetails": { - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "description": "Output only. List of modalities that were processed in the request input.", - "readOnly": true, - "type": "array" + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "type": "string" }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", - "readOnly": true, - "type": "array", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } + "thinking": { + "description": "Whether the model supports thinking.", + "type": "boolean" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", - "format": "int32", - "readOnly": true + "description": { + "description": "A short description of the model.", + "type": "string" }, - "responseTokensDetails": { - "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", - "type": "array", - "readOnly": true, + "supportedGenerationMethods": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - } - } - }, - "CustomLongRunningOperation": { - "type": "object", - "properties": { - "metadata": { - "type": "object", - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - }, - "name": { - "type": "string", - "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`." - }, - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" - }, - "response": { - "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." + "type": "string" }, - "type": "object" + "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" }, - "done": { - "type": "boolean", - "description": "If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available." + "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" } } }, - "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.", + "GenerateContentBatchOutput": { + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "type": "object", "properties": { - "latitude": { - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", - "type": "number", - "format": "double" + "responsesFile": { + "readOnly": true, + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", + "type": "string" }, - "longitude": { - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", - "type": "number", - "format": "double" + "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 } } }, - "GroundingChunk": { - "properties": { - "web": { - "description": "Grounding chunk from the web.", - "$ref": "#/components/schemas/Web" - }, - "image": { - "description": "Optional. Grounding chunk from image search.", - "$ref": "#/components/schemas/Image" - }, - "retrievedContext": { - "description": "Optional. Grounding chunk from context retrieved by the file search tool.", - "$ref": "#/components/schemas/RetrievedContext" - }, - "maps": { - "$ref": "#/components/schemas/Maps", - "description": "Optional. Grounding chunk from Google Maps." - } - }, - "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" - }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "type": "object", "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" + "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" } } }, - "Dataset": { - "properties": { - "examples": { - "$ref": "#/components/schemas/TuningExamples", - "description": "Optional. Inline examples with simple input/output text." - } - }, - "description": "Dataset for training or validation.", - "type": "object" - }, - "InputEmbedContentConfig": { - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "description": "The requests to be processed in the batch.", - "$ref": "#/components/schemas/InlinedEmbedContentRequests" - } - }, - "description": "Configures the input to the batch request.", - "type": "object" - }, - "RetrievalConfig": { - "description": "Retrieval config.", + "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": { - "latLng": { - "description": "Optional. The location of the user.", - "$ref": "#/components/schemas/LatLng" + "code": { + "format": "int32", + "description": "The status code, which should be an enum value of google.rpc.Code.", + "type": "integer" }, - "languageCode": { - "type": "string", - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt)." + "message": { + "description": "A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client.", + "type": "string" + }, + "details": { + "items": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", + "type": "array" } } }, - "GroundingAttribution": { + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", + "type": "object", "properties": { - "sourceId": { - "description": "Output only. Identifier for the source contributing to this attribution.", + "embeddings": { + "items": { + "$ref": "#/components/schemas/ContentEmbedding" + }, "readOnly": true, - "$ref": "#/components/schemas/AttributionSourceId" + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", + "type": "array" }, - "content": { - "description": "Grounding source content that makes up this attribution.", - "$ref": "#/components/schemas/Content" + "usageMetadata": { + "readOnly": true, + "description": "Output only. The usage metadata for the request.", + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } - }, - "type": "object", - "description": "Attribution for a source that contributed to an answer." + } }, - "GoogleSearchRetrieval": { + "ComputerUse": { + "description": "Computer Use tool type.", "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "dynamicRetrievalConfig": { - "$ref": "#/components/schemas/DynamicRetrievalConfig", - "description": "Specifies the dynamic retrieval configuration for the given source." + "environment": { + "description": "Required. The environment being operated.", + "type": "string", + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ] + }, + "excludedPredefinedFunctions": { + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", + "type": "array", + "items": { + "type": "string" + } } } }, - "ImportFileRequest": { + "ListTunedModelsResponse": { + "description": "Response from `ListTunedModels` containing a paginated list of Models.", "type": "object", - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", "properties": { - "customMetadata": { - "description": "Custom metadata to be associated with the file.", + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" + }, + "tunedModels": { + "description": "The returned Models.", "type": "array", "items": { - "$ref": "#/components/schemas/CustomMetadata" + "$ref": "#/components/schemas/TunedModel" } - }, - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", - "type": "string" - }, - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." } } }, - "CountTokensRequest": { - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", "type": "object", "properties": { - "contents": { + "candidates": { "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/LogprobsResultCandidate" }, - "type": "array", - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." - }, - "generateContentRequest": { - "$ref": "#/components/schemas/GenerateContentRequest", - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both." + "description": "Sorted by log probability in descending order.", + "type": "array" } } }, - "EmbedContentBatch": { + "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": { - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "readOnly": true, + "modelVersion": { + "description": "Output only. The model version used to generate the response.", "type": "string", - "format": "google-datetime" + "readOnly": true }, - "batchStats": { - "description": "Output only. Stats about the batch.", + "responseId": { "readOnly": true, - "$ref": "#/components/schemas/EmbedContentBatchStats" + "description": "Output only. response_id is used to identify each response.", + "type": "string" }, - "displayName": { - "type": "string", - "description": "Required. The user-defined name of this batch." + "candidates": { + "items": { + "$ref": "#/components/schemas/Candidate" + }, + "description": "Candidate responses from the model.", + "type": "array" }, - "inputConfig": { - "$ref": "#/components/schemas/InputEmbedContentConfig", - "description": "Required. Input configuration of the instances on which batch processing are performed." + "usageMetadata": { + "description": "Output only. Metadata on the generation requests' token usage.", + "$ref": "#/components/schemas/UsageMetadata", + "readOnly": true }, - "model": { - "type": "string", - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." + "promptFeedback": { + "description": "Returns the prompt's feedback related to the content filters.", + "$ref": "#/components/schemas/PromptFeedback" }, - "createTime": { - "description": "Output only. The time at which the batch was created.", + "modelStatus": { "readOnly": true, - "type": "string", - "format": "google-datetime" + "description": "Output only. The current model status of this model.", + "$ref": "#/components/schemas/ModelStatus" + } + } + }, + "GroundingMetadata": { + "description": "Metadata returned to client when grounding is enabled.", + "type": "object", + "properties": { + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "type": "array", + "items": { + "type": "string" + } }, - "endTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed." + "searchEntryPoint": { + "description": "Optional. Google search entry for the following-up web searches.", + "$ref": "#/components/schemas/SearchEntryPoint" }, - "priority": { - "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" + "groundingChunks": { + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + } }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + "webSearchQueries": { + "description": "Web search queries for the following-up web search.", + "type": "array", + "items": { + "type": "string" + } }, - "state": { - "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." - ], - "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.", + "retrievalMetadata": { + "description": "Metadata related to retrieval in the grounding flow.", + "$ref": "#/components/schemas/RetrievalMetadata" + }, + "groundingSupports": { + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + }, + "description": "List of grounding support.", + "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" + } + } + }, + "VideoFileMetadata": { + "description": "Metadata for a video `File`.", + "type": "object", + "properties": { + "videoDuration": { + "description": "Duration of the video.", + "type": "string", + "format": "google-duration" + } + } + }, + "Hyperparameters": { + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "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" + }, + "learningRate": { + "description": "Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples.", + "type": "number", + "format": "float" + }, + "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" + }, + "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" + } + } + }, + "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": { + "fileSearch": { + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", + "$ref": "#/components/schemas/FileSearch" + }, + "functionDeclarations": { + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + } + }, + "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" }, - "output": { - "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/EmbedContentBatchOutput" + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" + }, + "description": "Optional. MCP Servers to connect to.", + "type": "array" + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "codeExecution": { + "description": "Optional. Enables the model to execute code as part of generation.", + "$ref": "#/components/schemas/CodeExecution" + }, + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "googleMaps": { + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query.", + "$ref": "#/components/schemas/GoogleMaps" } - }, - "description": "A resource representing a batch of `EmbedContent` requests.", - "type": "object" + } }, - "TuningExample": { - "description": "A single example for tuning.", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "type": "object", "properties": { - "textInput": { - "type": "string", - "description": "Optional. Text model input." + "files": { + "items": { + "$ref": "#/components/schemas/File" + }, + "description": "The list of `File`s.", + "type": "array" }, - "output": { - "type": "string", - "description": "Required. The expected model output." + "nextPageToken": { + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", + "type": "string" } } }, - "Empty": { - "properties": {}, - "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", - "type": "object" - }, - "Schema": { + "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": { - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "minItems": { - "description": "Optional. Minimum number of the elements for Type.ARRAY.", - "type": "string", - "format": "int64" - }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." - }, - "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" - }, - "pattern": { - "type": "string", - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression." - }, - "minProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT." + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", + "type": "string" }, - "type": { - "description": "Required. Data type.", - "type": "string", - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" - ] + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" }, "title": { - "description": "Optional. The title of the schema.", + "description": "Title of the review.", + "type": "string" + } + } + }, + "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": { + "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" }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", - "type": "string", - "format": "int64" - }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" + "parts": { + "items": { + "$ref": "#/components/schemas/Part" + }, + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", + "type": "array" + } + } + }, + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", + "type": "object", + "properties": { + "promptTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the request input.", + "type": "array", + "readOnly": true }, - "enum": { - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "cacheTokensDetails": { + "readOnly": true, + "description": "Output only. List of modalities of the cached content in the request input.", "type": "array", "items": { - "type": "string" - } - }, - "nullable": { - "type": "boolean", - "description": "Optional. Indicates if the value may be null." - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" - }, - "maxItems": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY." - }, - "properties": { - "type": "object", - "description": "Optional. Properties of Type.OBJECT.", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "format": { - "type": "string", - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." + "totalTokenCount": { + "format": "int32", + "description": "Total token count for the generation request (prompt + response candidates).", + "type": "integer" }, - "required": { + "candidatesTokensDetails": { + "description": "Output only. List of modalities that were returned in the response.", "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", + "readOnly": true, "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "propertyOrdering": { - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", + "toolUsePromptTokensDetails": { + "description": "Output only. List of modalities that were processed for tool-use request inputs.", "type": "array", + "readOnly": true, "items": { - "type": "string" + "$ref": "#/components/schemas/ModalityTokenCount" } }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "candidatesTokenCount": { + "format": "int32", + "description": "Total number of tokens across all the generated response candidates.", + "type": "integer" }, - "maxProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT." + "cachedContentTokenCount": { + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "type": "integer", + "format": "int32" }, - "anyOf": { + "toolUsePromptTokenCount": { + "readOnly": true, + "description": "Output only. Number of tokens present in tool-use prompt(s).", + "type": "integer", + "format": "int32" + }, + "promptTokenCount": { + "description": "Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content.", + "type": "integer", + "format": "int32" + }, + "thoughtsTokenCount": { + "format": "int32", + "description": "Output only. Number of tokens of thoughts for thinking models.", + "type": "integer", + "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", + "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", - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "readOnly": true, "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/ModalityTokenCount" } } - }, - "type": "object", - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema)." + } }, - "McpServer": { - "properties": { - "streamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses.", - "$ref": "#/components/schemas/StreamableHttpTransport" - }, - "name": { - "type": "string", - "description": "The name of the 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: 5", - "type": "object" + "WebSearch": { + "description": "Standard web search for grounding and related configurations.", + "type": "object", + "properties": {} }, - "ComputerUse": { + "Web": { + "description": "Chunk from the web.", "type": "object", - "description": "Computer Use tool type.", "properties": { - "excludedPredefinedFunctions": { - "type": "array", - "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions.", - "items": { - "type": "string" - } + "uri": { + "description": "Output only. URI reference of the chunk.", + "type": "string", + "readOnly": true }, - "environment": { + "title": { + "description": "Output only. Title of the chunk.", "type": "string", - "description": "Required. The environment being operated.", - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ] + "readOnly": true } } }, - "LogprobsResultCandidate": { + "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", - "description": "Candidate for the logprobs token and score.", "properties": { - "token": { - "type": "string", - "description": "The candidate\u2019s token string value." - }, - "tokenId": { - "type": "integer", - "format": "int32", - "description": "The candidate\u2019s token id value." + "latitude": { + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0].", + "type": "number" }, - "logProbability": { - "description": "The candidate's log probability.", - "type": "number", - "format": "float" + "longitude": { + "format": "double", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "type": "number" } } }, - "BatchEmbedContentsResponse": { + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", + "type": "object", "properties": { - "embeddings": { + "urlMetadata": { + "description": "List of url context.", + "type": "array", "items": { - "$ref": "#/components/schemas/ContentEmbedding" - }, - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", - "readOnly": true, - "type": "array" - }, - "usageMetadata": { - "description": "Output only. The usage metadata for the request.", - "readOnly": true, - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "$ref": "#/components/schemas/UrlMetadata" + } } - }, - "description": "The response to a `BatchEmbedContentsRequest`.", - "type": "object" + } }, - "GroundingChunkCustomMetadata": { + "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", - "description": "User provided metadata about the GroundingFact.", "properties": { - "stringListValue": { - "$ref": "#/components/schemas/GroundingChunkStringList", - "description": "Optional. A list of string values for the metadata." - }, - "stringValue": { - "description": "Optional. The string value of the metadata.", - "type": "string" - }, - "numericValue": { - "type": "number", - "format": "float", - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." - }, - "key": { - "description": "The key of the metadata.", - "type": "string" + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", + "type": "array", + "items": { + "$ref": "#/components/schemas/ReviewSnippet" + } } } }, @@ -6430,171 +6506,95 @@ } } }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", + "InlinedResponse": { + "description": "The response to a single request in the batch.", "type": "object", "properties": { - "renderedParts": { - "items": { - "type": "integer", - "format": "int32" - }, - "readOnly": true, - "type": "array", - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source." - }, - "segment": { - "description": "Segment of the content this support belongs to.", - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment" - }, - "groundingChunkIndices": { - "items": { - "type": "integer", - "format": "int32" - }, - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "type": "array" - }, - "confidenceScores": { - "items": { - "type": "number", - "format": "float" - }, - "type": "array", - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices." - } - } - }, - "TuningSnapshot": { - "properties": { - "epoch": { - "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. The epoch this step was part of." - }, - "computeTime": { + "metadata": { "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when this metric was computed." + "description": "Output only. The metadata associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } }, - "meanLoss": { - "readOnly": true, - "type": "number", - "format": "float", - "description": "Output only. The mean loss of the training examples for this step." + "error": { + "description": "Output only. The error encountered while processing the request.", + "$ref": "#/components/schemas/Status", + "readOnly": true }, - "step": { + "response": { "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. The tuning step." - } - }, - "description": "Record for a single tuning step.", - "type": "object" - }, - "InlinedRequests": { - "type": "object", - "description": "The requests to be processed in the batch if provided as part of the batch creation request.", - "properties": { - "requests": { - "type": "array", - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } + "description": "Output only. The response to the request.", + "$ref": "#/components/schemas/GenerateContentResponse" } } }, - "DynamicRetrievalConfig": { + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", "type": "object", - "description": "Describes the options to customize dynamic retrieval.", "properties": { - "mode": { + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" + }, + "taskType": { + "description": "Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", "type": "string", - "description": "The mode of the predictor to be used in dynamic retrieval.", "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." + "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": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ] }, - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" - } - } - }, - "ExecutableCode": { - "properties": { - "language": { - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], - "type": "string", - "description": "Required. Programming language of the `code`." + "title": { + "description": "Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "type": "string" }, - "id": { - "type": "string", - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." + "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" }, - "code": { - "type": "string", - "description": "Required. The code to be executed." - } - }, - "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" - }, - "FunctionResponsePart": { - "properties": { - "inlineData": { - "$ref": "#/components/schemas/FunctionResponseBlob", - "description": "Inline media bytes." + "outputDimensionality": { + "format": "int32", + "description": "Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "type": "integer" } - }, - "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" - }, - "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": {} + } }, - "InlinedEmbedContentResponses": { + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "type": "object", - "description": "The responses to the requests in the batch.", "properties": { - "inlinedResponses": { - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "readOnly": true, + "cachedContents": { + "description": "List of cached contents.", "type": "array", - "description": "Output only. The responses to the requests in the batch." + "items": { + "$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" } } - }, - "AsyncBatchEmbedContentRequest": { - "properties": { - "batch": { - "$ref": "#/components/schemas/EmbedContentBatch", - "description": "Required. The batch to create." - } - }, - "description": "Request for an `AsyncBatchEmbedContent` operation.", - "type": "object" } } }