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 afd7f9c12..4ead89141 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 @@ -397,47 +397,47 @@ partial void ProcessBatchesUpdateEmbedContentBatchResponseContent( /// /// /// + /// + /// Stats about the batch. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Required. The user-defined name of this batch. /// + /// + /// 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. /// - /// - /// Configures the input to the batch request. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Stats about the batch. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, string? displayName = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? model = default, string? priority = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentBatch { + BatchStats = batchStats, + Output = output, DisplayName = displayName, + InputConfig = inputConfig, Model = model, Priority = priority, - InputConfig = inputConfig, - Output = output, - BatchStats = batchStats, }; return await BatchesUpdateEmbedContentBatchAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 278e24584..b84d07d54 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -397,47 +397,47 @@ partial void ProcessBatchesUpdateGenerateContentBatchResponseContent( /// /// /// + /// + /// 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. /// + /// + /// Stats about the batch. + /// /// /// Required. The user-defined name of this batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. - /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Stats about the batch. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.InputConfig? inputConfig = default, + string? model = default, string? priority = default, + global::Google.Gemini.BatchStats? batchStats = default, string? displayName = default, - string? model = default, - global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentBatch { + InputConfig = inputConfig, + Model = model, Priority = priority, + BatchStats = batchStats, DisplayName = displayName, - Model = model, - InputConfig = inputConfig, Output = output, - BatchStats = batchStats, }; 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 3c6b96ac6..54df3f3f4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsCreate.g.cs @@ -383,57 +383,57 @@ partial void ProcessCachedContentsCreateResponseContent( /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Metadata on the usage of the cached content. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? model = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { Tools = tools, - ToolConfig = toolConfig, DisplayName = displayName, + ToolConfig = toolConfig, ExpireTime = expireTime, - Model = model, - Contents = contents, - Ttl = ttl, SystemInstruction = systemInstruction, + Ttl = ttl, + Contents = contents, UsageMetadata = usageMetadata, + Model = model, }; return await CachedContentsCreateAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs index 2c0342322..656f6813d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.CachedContentsPatch.g.cs @@ -400,30 +400,30 @@ partial void ProcessCachedContentsPatchResponseContent( /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Metadata on the usage of the cached content. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -431,28 +431,28 @@ partial void ProcessCachedContentsPatchResponseContent( string cachedContentsId, string? updateMask = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? model = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.CachedContent { Tools = tools, - ToolConfig = toolConfig, DisplayName = displayName, + ToolConfig = toolConfig, ExpireTime = expireTime, - Model = model, - Contents = contents, - Ttl = ttl, SystemInstruction = systemInstruction, + Ttl = ttl, + Contents = contents, UsageMetadata = usageMetadata, + Model = model, }; 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 c431453ef..560c0dac9 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - EmailAddress = emailAddress, Role = role, + EmailAddress = emailAddress, }; 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 00dfd02df..4ba9c8ec3 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - EmailAddress = emailAddress, Role = role, + EmailAddress = emailAddress, }; 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 5bbb61e47..e2dcc52e9 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 @@ -390,32 +390,32 @@ partial void ProcessDynamicGenerateContentResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -423,30 +423,30 @@ partial void ProcessDynamicGenerateContentResponseContent( public async global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; return await DynamicGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContent.g.cs index 331af2bad..3335f088e 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 @@ -390,32 +390,32 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -423,30 +423,30 @@ partial void ProcessDynamicStreamGenerateContentResponseContent( public async global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; return await DynamicStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 82800abb5..50fdfb17a 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 @@ -363,32 +363,32 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -396,30 +396,30 @@ partial void ProcessDynamicStreamGenerateContentAsStreamResponse( public async global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; var __enumerable = DynamicStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs index bfe4ff623..16bb04edc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.FileSearchStoresImportFile.g.cs @@ -387,31 +387,31 @@ partial void ProcessFileSearchStoresImportFileResponseContent( /// Imports a `File` from File Service to a `FileSearchStore`. /// /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Custom metadata to be associated with the file. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, + string? fileName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, - string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.ImportFileRequest { + FileName = fileName, ChunkingConfig = chunkingConfig, CustomMetadata = customMetadata, - FileName = fileName, }; return await FileSearchStoresImportFileAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs index 3f49f3498..814b62012 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.MediaUploadToFileSearchStore.g.cs @@ -387,36 +387,36 @@ partial void ProcessMediaUploadToFileSearchStoreResponseContent( /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Custom metadata to be associated with the data. - /// - /// - /// Optional. Display name of the created document. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Optional. Display name of the created document. + /// + /// + /// Custom metadata to be associated with the data. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, - string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, + string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.UploadToFileSearchStoreRequest { - CustomMetadata = customMetadata, - DisplayName = displayName, ChunkingConfig = chunkingConfig, MimeType = mimeType, + DisplayName = displayName, + CustomMetadata = customMetadata, }; return await MediaUploadToFileSearchStoreAsync( 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 90f56f580..5bdec85ff 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 @@ -389,31 +389,31 @@ partial void ProcessModelsEmbedContentResponseContent( /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// /// /// Configurations for the EmbedContent request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// public async global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, + global::Google.Gemini.Content? content = default, string? model = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - global::Google.Gemini.Content? content = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.EmbedContentRequest { + Content = content, Model = model, EmbedContentConfig = embedContentConfig, - Content = content, }; return await ModelsEmbedContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsGenerateContent.g.cs index 0e661ba06..1b79f4bfa 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 @@ -390,32 +390,32 @@ partial void ProcessModelsGenerateContentResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -423,30 +423,30 @@ partial void ProcessModelsGenerateContentResponseContent( public async global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; return await ModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContent.g.cs index 3430bc631..4cdfabc14 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 @@ -390,32 +390,32 @@ partial void ProcessModelsStreamGenerateContentResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -423,30 +423,30 @@ partial void ProcessModelsStreamGenerateContentResponseContent( public async global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; return await ModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 815ae156a..d0c661017 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 @@ -363,32 +363,32 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -396,30 +396,30 @@ partial void ProcessModelsStreamGenerateContentAsStreamResponse( public async global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; var __enumerable = ModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsCreate.g.cs index 2957e42cd..f961da6b6 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 @@ -393,26 +393,26 @@ partial void ProcessTunedModelsCreateResponseContent( /// /// Tuned model as a source for training a new 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. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. 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. A short description of this model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -423,13 +423,13 @@ partial void ProcessTunedModelsCreateResponseContent( public async global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - float? topP = default, global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + int? topK = default, + float? temperature = default, string? displayName = default, string? description = default, - float? temperature = default, + float? topP = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) @@ -437,13 +437,13 @@ partial void ProcessTunedModelsCreateResponseContent( var __request = new global::Google.Gemini.TunedModel { TunedModelSource = tunedModelSource, - TopK = topK, - TopP = topP, TuningTask = tuningTask, BaseModel = baseModel, + TopK = topK, + Temperature = temperature, DisplayName = displayName, Description = description, - Temperature = temperature, + TopP = topP, ReaderProjectNumbers = readerProjectNumbers, }; 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 6ccf9b94e..739b34731 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 @@ -390,32 +390,32 @@ partial void ProcessTunedModelsGenerateContentResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -423,30 +423,30 @@ partial void ProcessTunedModelsGenerateContentResponseContent( public async global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; return await TunedModelsGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsPatch.g.cs index b931b7d04..e21ecf261 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 @@ -400,26 +400,26 @@ partial void ProcessTunedModelsPatchResponseContent( /// /// Tuned model as a source for training a new 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. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. 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. A short description of this model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -431,13 +431,13 @@ partial void ProcessTunedModelsPatchResponseContent( string tunedModelsId, string? updateMask = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - float? topP = default, global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + int? topK = default, + float? temperature = default, string? displayName = default, string? description = default, - float? temperature = default, + float? topP = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) @@ -445,13 +445,13 @@ partial void ProcessTunedModelsPatchResponseContent( var __request = new global::Google.Gemini.TunedModel { TunedModelSource = tunedModelSource, - TopK = topK, - TopP = topP, TuningTask = tuningTask, BaseModel = baseModel, + TopK = topK, + Temperature = temperature, DisplayName = displayName, Description = description, - Temperature = temperature, + TopP = topP, ReaderProjectNumbers = readerProjectNumbers, }; 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 83def6f1a..203c5ae9e 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - EmailAddress = emailAddress, Role = role, + EmailAddress = emailAddress, }; 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 81f9069f9..81df84a9a 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.Permission { GranteeType = granteeType, - EmailAddress = emailAddress, Role = role, + EmailAddress = emailAddress, }; 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 85a5b2cfd..590ce866d 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 @@ -390,32 +390,32 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -423,30 +423,30 @@ partial void ProcessTunedModelsStreamGenerateContentResponseContent( public async global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; return await TunedModelsStreamGenerateContentAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.GeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index dd8f20bdb..0d31c0f36 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 @@ -363,32 +363,32 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -396,30 +396,30 @@ partial void ProcessTunedModelsStreamGenerateContentAsStreamResponse( public async global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, [global::System.Runtime.CompilerServices.EnumeratorCancellation] global::System.Threading.CancellationToken cancellationToken = default) { var __request = new global::Google.Gemini.GenerateContentRequest { Model = model, - ServiceTier = serviceTier, - GenerationConfig = generationConfig, - ToolConfig = toolConfig, Store = store, - Tools = tools, CachedContent = cachedContent, + GenerationConfig = generationConfig, + Contents = contents, SystemInstruction = systemInstruction, + ToolConfig = toolConfig, SafetySettings = safetySettings, - Contents = contents, + Tools = tools, + ServiceTier = serviceTier, }; var __enumerable = TunedModelsStreamGenerateContentAsStreamAsync( diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateEmbedContentBatch.g.cs index 66baa45a0..6f5784fd6 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 @@ -25,36 +25,36 @@ public partial interface IGeminiClient /// /// /// + /// + /// Stats about the batch. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Required. The user-defined name of this batch. /// + /// + /// 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. /// - /// - /// Configures the input to the batch request. - /// - /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - /// - /// Stats about the batch. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateEmbedContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.EmbedContentBatchStats? batchStats = default, + global::Google.Gemini.EmbedContentBatchOutput? output = default, string? displayName = default, + global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, string? model = default, string? priority = default, - global::Google.Gemini.InputEmbedContentConfig? inputConfig = default, - global::Google.Gemini.EmbedContentBatchOutput? output = default, - global::Google.Gemini.EmbedContentBatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs index 865e332f1..2c0797927 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.BatchesUpdateGenerateContentBatch.g.cs @@ -25,36 +25,36 @@ public partial interface IGeminiClient /// /// /// + /// + /// 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. /// + /// + /// Stats about the batch. + /// /// /// Required. The user-defined name of this batch. /// - /// - /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. - /// - /// - /// Configures the input to the batch request. - /// /// /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. /// - /// - /// Stats about the batch. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task BatchesUpdateGenerateContentBatchAsync( string batchesId, string? updateMask = default, + global::Google.Gemini.InputConfig? inputConfig = default, + string? model = default, string? priority = default, + global::Google.Gemini.BatchStats? batchStats = default, string? displayName = default, - string? model = default, - global::Google.Gemini.InputConfig? inputConfig = default, global::Google.Gemini.GenerateContentBatchOutput? output = default, - global::Google.Gemini.BatchStats? batchStats = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs index d0fa60ac6..d92cf5104 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsCreate.g.cs @@ -22,43 +22,43 @@ public partial interface IGeminiClient /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Metadata on the usage of the cached content. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task CachedContentsCreateAsync( global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? model = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs index d1fa859a0..aface752a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CachedContentsPatch.g.cs @@ -28,30 +28,30 @@ public partial interface IGeminiClient /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` - /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// /// /// Input only. New TTL for this resource, input only. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Metadata on the usage of the cached content. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// @@ -59,14 +59,14 @@ public partial interface IGeminiClient string cachedContentsId, string? updateMask = default, global::System.Collections.Generic.IList? tools = default, - global::Google.Gemini.ToolConfig? toolConfig = default, string? displayName = default, + global::Google.Gemini.ToolConfig? toolConfig = default, string? expireTime = default, - string? model = default, - global::System.Collections.Generic.IList? contents = default, - string? ttl = default, global::Google.Gemini.Content? systemInstruction = default, + string? ttl = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.CachedContentUsageMetadata? usageMetadata = default, + string? model = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.CorporaPermissionsCreate.g.cs index 92284c1b8..cea39376a 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = 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 07ba825db..e70aad7d4 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = 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 11701c952..3a1758f9a 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task DynamicGenerateContentAsync( string dynamicId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContent.g.cs index 3a9b78527..ba7da4701 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task DynamicStreamGenerateContentAsync( string dynamicId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.DynamicStreamGenerateContentAsStream.g.cs index 1300b86c9..052f4c8b8 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Collections.Generic.IAsyncEnumerable DynamicStreamGenerateContentAsStreamAsync( string dynamicId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs index e142b148a..5c0e9225c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.FileSearchStoresImportFile.g.cs @@ -22,23 +22,23 @@ public partial interface IGeminiClient /// Imports a `File` from File Service to a `FileSearchStore`. /// /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Custom metadata to be associated with the file. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task FileSearchStoresImportFileAsync( string fileSearchStoresId, + string? fileName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, global::System.Collections.Generic.IList? customMetadata = default, - string? fileName = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs index 87d5e6fc2..40b7306a3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.MediaUploadToFileSearchStore.g.cs @@ -22,27 +22,27 @@ public partial interface IGeminiClient /// Uploads data to a FileSearchStore, preprocesses and chunks before storing it in a FileSearchStore Document. /// /// - /// - /// Custom metadata to be associated with the data. - /// - /// - /// Optional. Display name of the created document. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Optional. Display name of the created document. + /// + /// + /// Custom metadata to be associated with the data. + /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task MediaUploadToFileSearchStoreAsync( string fileSearchStoresId, - global::System.Collections.Generic.IList? customMetadata = default, - string? displayName = default, global::Google.Gemini.ChunkingConfig? chunkingConfig = default, string? mimeType = default, + string? displayName = default, + global::System.Collections.Generic.IList? customMetadata = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsEmbedContent.g.cs index ef3060090..d9e52129c 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 @@ -24,23 +24,23 @@ public partial interface IGeminiClient /// Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding). /// /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// /// /// Configurations for the EmbedContent request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with /// global::System.Threading.Tasks.Task ModelsEmbedContentAsync( string modelsId, + global::Google.Gemini.Content? content = default, string? model = default, global::Google.Gemini.EmbedContentConfig? embedContentConfig = default, - global::Google.Gemini.Content? content = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsGenerateContent.g.cs index b3f12ff36..a15c891ce 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task ModelsGenerateContentAsync( string modelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContent.g.cs index e41107a9d..59513983f 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task ModelsStreamGenerateContentAsync( string modelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.ModelsStreamGenerateContentAsStream.g.cs index 6e2a27959..a56ba76c6 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Collections.Generic.IAsyncEnumerable ModelsStreamGenerateContentAsStreamAsync( string modelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsCreate.g.cs index e3c094ec4..d8523df0d 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 @@ -25,26 +25,26 @@ public partial interface IGeminiClient /// /// Tuned model as a source for training a new 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. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. 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. A short description of this model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -55,13 +55,13 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsCreateAsync( string? tunedModelId = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - float? topP = default, global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + int? topK = default, + float? temperature = default, string? displayName = default, string? description = default, - float? temperature = default, + float? topP = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsGenerateContent.g.cs index 926779bf9..5094f0caf 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsGenerateContentAsync( string tunedModelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPatch.g.cs index cae2dd9f0..001dc9315 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 @@ -28,26 +28,26 @@ public partial interface IGeminiClient /// /// Tuned model as a source for training a new 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. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Tuning tasks that create tuned models. /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. 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. A short description of this model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. @@ -59,13 +59,13 @@ public partial interface IGeminiClient string tunedModelsId, string? updateMask = default, global::Google.Gemini.TunedModelSource? tunedModelSource = default, - int? topK = default, - float? topP = default, global::Google.Gemini.TuningTask? tuningTask = default, string? baseModel = default, + int? topK = default, + float? temperature = default, string? displayName = default, string? description = default, - float? temperature = default, + float? topP = default, global::System.Collections.Generic.IList? readerProjectNumbers = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsPermissionsCreate.g.cs index 10d0529a0..d2b3bb242 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = 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 8cd255655..9179736c3 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. /// - /// - /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. - /// /// /// Required. The role granted by this permission. /// + /// + /// Optional. Immutable. The email address of the user of group which this permission refers. Field is not set when permission's grantee type is EVERYONE. + /// /// 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, - string? emailAddress = default, global::Google.Gemini.PermissionRole? role = default, + string? emailAddress = 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 81d1e1c56..c6bf957c4 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Threading.Tasks.Task TunedModelsStreamGenerateContentAsync( string tunedModelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.IGeminiClient.TunedModelsStreamGenerateContentAsStream.g.cs index e42a00c63..7637bcd83 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 @@ -25,32 +25,32 @@ public partial interface IGeminiClient /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// /// Per-request overrides such as headers, query parameters, timeout, retries, and response buffering. /// The token to cancel the operation with @@ -58,15 +58,15 @@ public partial interface IGeminiClient global::System.Collections.Generic.IAsyncEnumerable TunedModelsStreamGenerateContentAsStreamAsync( string tunedModelsId, string? model = default, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, - global::Google.Gemini.GenerationConfig? generationConfig = default, - global::Google.Gemini.ToolConfig? toolConfig = default, bool? store = default, - global::System.Collections.Generic.IList? tools = default, string? cachedContent = default, + global::Google.Gemini.GenerationConfig? generationConfig = default, + global::System.Collections.Generic.IList? contents = default, global::Google.Gemini.Content? systemInstruction = default, + global::Google.Gemini.ToolConfig? toolConfig = default, global::System.Collections.Generic.IList? safetySettings = default, - global::System.Collections.Generic.IList? contents = default, + global::System.Collections.Generic.IList? tools = default, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier = default, global::Google.Gemini.AutoSDKRequestOptions? requestOptions = default, global::System.Threading.CancellationToken cancellationToken = default); } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs index 3c3462f49..6075e6de3 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContext.g.cs @@ -13,425 +13,425 @@ namespace Google.Gemini DefaultIgnoreCondition = global::System.Text.Json.Serialization.JsonIgnoreCondition.WhenWritingNull, Converters = new global::System.Type[] { - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), - typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.DocumentStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.CandidateFinishReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateNullableJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter), typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ThinkingConfigThinkingLevelNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionResponseSchedulingNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileSourceNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ExecutableCodeLanguageNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter), - typeof(global::Google.Gemini.JsonConverters.SchemaTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolCallToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.GenerationConfigResponseModalitieNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ModalityTokenCountModalityNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.EmbedContentRequestTaskTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.CodeExecutionResultOutcomeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter), - typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.FunctionCallingConfigModeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetyRatingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ToolResponseToolTypeNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.TunedModelStateNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GeneratedFileStateNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionGranteeTypeNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleJsonConverter), - typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.PermissionRoleNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryJsonConverter), - typeof(global::Google.Gemini.JsonConverters.UrlMetadataUrlRetrievalStatusNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingCategoryNullableJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdJsonConverter), - typeof(global::Google.Gemini.JsonConverters.ComputerUseEnvironmentNullableJsonConverter), + typeof(global::Google.Gemini.JsonConverters.SafetySettingThresholdNullableJsonConverter), 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.InlinedEmbedContentRequests))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileData))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(string))] + [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.InlinedRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(object))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.StringList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImportFileRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] [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.GroundingChunkCustomMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ContentEmbedding))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbeddingUsageMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCount))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRating))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] - [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.DynamicRetrievalConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(float))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContext))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CitationSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Operation))] - [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.GoogleAiGenerativelanguageV1betaSegment))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchTypes))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WebSearch))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.WhiteSpaceConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelSource))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FunctionResponse))] - [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.GoogleSearchRetrieval))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievalMetadata))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContentUsageMetadata))] - [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.SafetySetting))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SearchEntryPoint))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(byte[]))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] - [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.SemanticRetrieverChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CountTokensResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Hyperparameters))] + [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.InlinedResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Status))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListTunedModelsResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModel))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(bool))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SpeechConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CachedContent))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Content))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.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.ModelStatus))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModelStatusModelStage), TypeInfoPropertyName = "ModelStatusModelStage2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Interval))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySetting))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Tool))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentRequestServiceTier), TypeInfoPropertyName = "GenerateContentRequestServiceTier2")] + [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.ToolCall))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] + [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.GroundingAttribution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.AttributionSourceId))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Web))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RetrievedContext))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequests))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedEmbedContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunkStringList))] + [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.UsageMetadata))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCode))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.RetrievalMetadata))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UrlContextMetadata))] [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.EmbedContentBatchOutput))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PrebuiltVoiceConfig))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningSnapshot))] + [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::System.Collections.Generic.Dictionary))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SchemaType), TypeInfoPropertyName = "SchemaType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExample))] + [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.GoogleSearch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.DynamicRetrievalConfigMode), TypeInfoPropertyName = "DynamicRetrievalConfigMode2")] + [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.EmbedContentBatch))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchStats))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchOutput))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentBatchState), TypeInfoPropertyName = "EmbedContentBatchState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InputEmbedContentConfig))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GroundingChunk))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Image))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [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.ReviewSnippet))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [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::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ThinkingConfigThinkingLevel), TypeInfoPropertyName = "ThinkingConfigThinkingLevel2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSource), TypeInfoPropertyName = "FileSource2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileState), TypeInfoPropertyName = "FileState2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Dataset))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TuningExamples))] - [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.ExecutableCodeLanguage), TypeInfoPropertyName = "ExecutableCodeLanguage2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.LogprobsResultCandidate))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TopCandidates))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CodeExecution))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.EmbedContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CustomLongRunningOperation))] + [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.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ImageConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListCorporaResponse))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFileSearchStoresResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.FileSearchStore))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::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.SchemaType), TypeInfoPropertyName = "SchemaType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.InlinedResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolCallToolType), TypeInfoPropertyName = "ToolCallToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ReviewSnippet))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.UploadToFileSearchStoreRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ModalityTokenCountModality), TypeInfoPropertyName = "ModalityTokenCountModality2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerateContentResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Corpus))] + [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::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedback))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ListGeneratedFilesResponse))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GeneratedFile))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::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.EmbedContentRequestTaskType), TypeInfoPropertyName = "EmbedContentRequestTaskType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] - [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.ListTunedModelsResponse))] - [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.FunctionCallingConfig))] [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [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.GenerationConfigMediaResolution), TypeInfoPropertyName = "GenerationConfigMediaResolution2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.GenerationConfigResponseModalitie), TypeInfoPropertyName = "GenerationConfigResponseModalitie2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Model))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.PromptFeedbackBlockReason), TypeInfoPropertyName = "PromptFeedbackBlockReason2")] + [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.ListModelsResponse))] + [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::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.FunctionCallingConfigMode), TypeInfoPropertyName = "FunctionCallingConfigMode2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ToolResponseToolType), TypeInfoPropertyName = "ToolResponseToolType2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] - [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.GeneratedFileState), TypeInfoPropertyName = "GeneratedFileState2")] - [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.UrlMetadataUrlRetrievalStatus), TypeInfoPropertyName = "UrlMetadataUrlRetrievalStatus2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.ComputerUseEnvironment), TypeInfoPropertyName = "ComputerUseEnvironment2")] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.Empty))] [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::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] - [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.List))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingProbability), TypeInfoPropertyName = "SafetyRatingProbability2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetyRatingCategory), TypeInfoPropertyName = "SafetyRatingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.CreateFileResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.RegisterFilesRequest))] + [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.RegisterFilesResponse))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchGenerateContentRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TransferOwnershipRequest))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [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.TuningTask))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::System.Collections.Generic.IList))] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.TunedModelState), TypeInfoPropertyName = "TunedModelState2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.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.SafetySettingCategory), TypeInfoPropertyName = "SafetySettingCategory2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.SafetySettingThreshold), TypeInfoPropertyName = "SafetySettingThreshold2")] + [global::System.Text.Json.Serialization.JsonSerializable(typeof(global::Google.Gemini.BatchEmbedContentsResponse))] + [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))] 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 bb0e8646b..8ac9010cd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.JsonSerializerContextTypes.g.cs @@ -28,67 +28,67 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequests? Type0 { get; set; } + public global::Google.Gemini.FileData? Type0 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type1 { get; set; } + public string? Type1 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentRequest? Type2 { get; set; } + public global::Google.Gemini.ChunkingConfig? Type2 { get; set; } /// /// /// - public global::Google.Gemini.RetrievedContext? Type3 { get; set; } + public global::Google.Gemini.WhiteSpaceConfig? Type3 { get; set; } /// /// /// - public string? Type4 { get; set; } + public global::Google.Gemini.InlinedRequest? Type4 { get; set; } /// /// /// - public int? Type5 { get; set; } + public global::Google.Gemini.GenerateContentRequest? Type5 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type6 { get; set; } + public object? Type6 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkCustomMetadata? Type7 { get; set; } + public global::Google.Gemini.StringList? Type7 { get; set; } /// /// /// - public global::Google.Gemini.UsageMetadata? Type8 { get; set; } + public global::System.Collections.Generic.IList? Type8 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type9 { get; set; } + public global::Google.Gemini.ImportFileRequest? Type9 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCount? Type10 { get; set; } + public global::System.Collections.Generic.IList? Type10 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRating? Type11 { get; set; } + public global::Google.Gemini.CustomMetadata? Type11 { get; set; } /// /// /// - public bool? Type12 { get; set; } + public global::Google.Gemini.CitationSource? Type12 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingCategory? Type13 { get; set; } + public int? Type13 { get; set; } /// /// /// - public global::Google.Gemini.SafetyRatingProbability? Type14 { get; set; } + public global::Google.Gemini.ContentEmbedding? Type14 { get; set; } /// /// /// - public global::Google.Gemini.DynamicRetrievalConfig? Type15 { get; set; } + public global::System.Collections.Generic.IList? Type15 { get; set; } /// /// /// @@ -96,992 +96,992 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::Google.Gemini.DynamicRetrievalConfigMode? Type17 { get; set; } + public global::System.Collections.Generic.IList? Type17 { get; set; } /// /// /// - public global::Google.Gemini.UrlContext? Type18 { get; set; } + public global::Google.Gemini.EmbeddingUsageMetadata? Type18 { get; set; } /// /// /// - public global::Google.Gemini.CitationSource? Type19 { get; set; } + public global::System.Collections.Generic.IList? Type19 { get; set; } /// /// /// - public global::Google.Gemini.Operation? Type20 { get; set; } + public global::Google.Gemini.ModalityTokenCount? Type20 { get; set; } /// /// /// - public global::Google.Gemini.Status? Type21 { get; set; } + public global::Google.Gemini.SemanticRetrieverChunk? Type21 { get; set; } /// /// /// - public object? Type22 { get; set; } + public global::Google.Gemini.CountTokensResponse? Type22 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type23 { get; set; } + public global::Google.Gemini.Hyperparameters? Type23 { get; set; } /// /// /// - public global::Google.Gemini.SearchTypes? Type24 { get; set; } + public global::Google.Gemini.InlinedRequests? Type24 { get; set; } /// /// /// - public global::Google.Gemini.ImageSearch? Type25 { get; set; } + public global::System.Collections.Generic.IList? Type25 { get; set; } /// /// /// - public global::Google.Gemini.WebSearch? Type26 { get; set; } + public global::Google.Gemini.InlinedResponse? Type26 { get; set; } /// /// /// - public global::Google.Gemini.WhiteSpaceConfig? Type27 { get; set; } + public global::Google.Gemini.Status? Type27 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelSource? Type28 { get; set; } + public global::Google.Gemini.GenerateContentResponse? Type28 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponse? Type29 { get; set; } + public global::Google.Gemini.ListTunedModelsResponse? Type29 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type30 { get; set; } + public global::System.Collections.Generic.IList? Type30 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponsePart? Type31 { get; set; } + public global::Google.Gemini.TunedModel? Type31 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseScheduling? Type32 { get; set; } + public bool? Type32 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearchRetrieval? Type33 { get; set; } + public global::Google.Gemini.GenerationConfig? Type33 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalMetadata? Type34 { get; set; } + public global::System.Collections.Generic.IList? Type34 { get; set; } /// /// /// - public global::Google.Gemini.CachedContentUsageMetadata? Type35 { get; set; } + public global::Google.Gemini.Content? Type35 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclaration? Type36 { get; set; } + public global::Google.Gemini.ToolConfig? Type36 { get; set; } /// /// /// - public global::Google.Gemini.FunctionDeclarationBehavior? Type37 { get; set; } + public global::System.Collections.Generic.IList? Type37 { get; set; } /// /// /// - public global::Google.Gemini.Schema? Type38 { get; set; } + public global::Google.Gemini.SafetySetting? Type38 { get; set; } /// /// /// - public global::Google.Gemini.SafetySetting? Type39 { get; set; } + public global::System.Collections.Generic.IList? Type39 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingCategory? Type40 { get; set; } + public global::Google.Gemini.Tool? Type40 { get; set; } /// /// /// - public global::Google.Gemini.SafetySettingThreshold? Type41 { get; set; } + public global::Google.Gemini.GenerateContentRequestServiceTier? Type41 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResultCandidate? Type42 { get; set; } + public global::Google.Gemini.InlinedResponses? Type42 { get; set; } /// /// /// - public global::Google.Gemini.SearchEntryPoint? Type43 { get; set; } + public global::System.Collections.Generic.IList? Type43 { get; set; } /// /// /// - public byte[]? Type44 { get; set; } + public global::Google.Gemini.ToolCall? Type44 { get; set; } /// /// /// - public global::Google.Gemini.Web? Type45 { get; set; } + public global::Google.Gemini.ToolCallToolType? Type45 { get; set; } /// /// /// - public global::Google.Gemini.CitationMetadata? Type46 { get; set; } + public global::Google.Gemini.Maps? Type46 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type47 { get; set; } + public global::Google.Gemini.PlaceAnswerSources? Type47 { get; set; } /// /// /// - public global::Google.Gemini.SemanticRetrieverChunk? Type48 { get; set; } + public global::Google.Gemini.GroundingAttribution? Type48 { get; set; } /// /// /// - public global::Google.Gemini.Hyperparameters? Type49 { get; set; } + public global::Google.Gemini.AttributionSourceId? Type49 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfig? Type50 { get; set; } + public global::Google.Gemini.GroundingChunk? Type50 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigMediaResolution? Type51 { get; set; } + public global::Google.Gemini.Web? Type51 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type52 { get; set; } + public global::Google.Gemini.RetrievedContext? Type52 { get; set; } /// /// /// - public global::Google.Gemini.GenerationConfigResponseModalitie? Type53 { get; set; } + public global::Google.Gemini.Image? Type53 { get; set; } /// /// /// - public global::Google.Gemini.ImageConfig? Type54 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequests? Type54 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfig? Type55 { get; set; } + public global::System.Collections.Generic.IList? Type55 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type56 { get; set; } + public global::Google.Gemini.InlinedEmbedContentRequest? Type56 { get; set; } /// /// /// - public global::Google.Gemini.SpeechConfig? Type57 { get; set; } + public global::Google.Gemini.GroundingChunkStringList? Type57 { get; set; } /// /// /// - public global::Google.Gemini.CachedContent? Type58 { get; set; } + public global::Google.Gemini.UrlMetadata? Type58 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type59 { get; set; } + public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type59 { get; set; } /// /// /// - public global::Google.Gemini.Tool? Type60 { get; set; } + public global::Google.Gemini.UsageMetadata? Type60 { get; set; } /// /// /// - public global::Google.Gemini.ToolConfig? Type61 { get; set; } + public global::Google.Gemini.ExecutableCode? Type61 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type62 { get; set; } + public global::Google.Gemini.ExecutableCodeLanguage? Type62 { get; set; } /// /// /// - public global::Google.Gemini.Content? Type63 { get; set; } + public global::Google.Gemini.BatchEmbedContentsRequest? Type63 { get; set; } /// /// /// - public global::Google.Gemini.ListPermissionsResponse? Type64 { get; set; } + public global::System.Collections.Generic.IList? Type64 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type65 { get; set; } + public global::Google.Gemini.EmbedContentRequest? Type65 { get; set; } /// /// /// - public global::Google.Gemini.Permission? Type66 { get; set; } + public global::Google.Gemini.RetrievalMetadata? Type66 { get; set; } /// /// /// - public global::Google.Gemini.MultiSpeakerVoiceConfig? Type67 { get; set; } + public global::Google.Gemini.UrlContextMetadata? Type67 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type68 { get; set; } + public global::System.Collections.Generic.IList? Type68 { get; set; } /// /// /// - public global::Google.Gemini.SpeakerVoiceConfig? Type69 { get; set; } + public global::Google.Gemini.RetrievalConfig? Type69 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatus? Type70 { get; set; } + public global::Google.Gemini.LatLng? Type70 { get; set; } /// /// /// - public global::Google.Gemini.ModelStatusModelStage? Type71 { get; set; } + public global::Google.Gemini.Empty? Type71 { get; set; } /// /// /// - public global::Google.Gemini.Interval? Type72 { get; set; } + public global::Google.Gemini.UrlContext? Type72 { get; set; } /// /// /// - public global::Google.Gemini.UrlContextMetadata? Type73 { get; set; } + public global::Google.Gemini.VideoMetadata? Type73 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type74 { get; set; } + public double? Type74 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadata? Type75 { get; set; } + public global::Google.Gemini.GroundingChunkCustomMetadata? Type75 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type76 { get; set; } + public global::Google.Gemini.CreateFileRequest? Type76 { get; set; } /// /// /// - public global::Google.Gemini.Part? Type77 { get; set; } + public global::Google.Gemini.File? Type77 { get; set; } /// /// /// - public global::Google.Gemini.FileSearch? Type78 { get; set; } + public global::Google.Gemini.Interval? Type78 { get; set; } /// /// /// - public global::Google.Gemini.TuningSnapshot? Type79 { get; set; } + public global::Google.Gemini.TunedModelSource? Type79 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponses? Type80 { get; set; } + public global::Google.Gemini.Document? Type80 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type81 { get; set; } + public global::Google.Gemini.DocumentState? Type81 { get; set; } /// /// /// - public global::Google.Gemini.InlinedEmbedContentResponse? Type82 { get; set; } + public global::Google.Gemini.ImageSearch? Type82 { get; set; } /// /// /// - public global::Google.Gemini.ImportFileRequest? Type83 { get; set; } + public global::Google.Gemini.Candidate? Type83 { get; set; } /// /// /// - public global::Google.Gemini.ChunkingConfig? Type84 { get; set; } + public global::System.Collections.Generic.IList? Type84 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type85 { get; set; } + public global::Google.Gemini.LogprobsResult? Type85 { get; set; } /// /// /// - public global::Google.Gemini.CustomMetadata? Type86 { get; set; } + public global::Google.Gemini.CandidateFinishReason? Type86 { get; set; } /// /// /// - public global::Google.Gemini.TunedModel? Type87 { get; set; } + public global::Google.Gemini.CitationMetadata? Type87 { get; set; } /// /// /// - public global::Google.Gemini.TunedModelState? Type88 { get; set; } + public global::Google.Gemini.GroundingMetadata? Type88 { get; set; } /// /// /// - public global::Google.Gemini.TuningTask? Type89 { get; set; } + public global::System.Collections.Generic.IList? Type89 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipResponse? Type90 { get; set; } + public global::Google.Gemini.SafetyRating? Type90 { get; set; } /// /// /// - public global::Google.Gemini.AttributionSourceId? Type91 { get; set; } + public global::System.Collections.Generic.IList? Type91 { get; set; } /// /// /// - public global::Google.Gemini.GroundingPassageId? Type92 { get; set; } + public global::Google.Gemini.CachedContent? Type92 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileRequest? Type93 { get; set; } + public global::Google.Gemini.CachedContentUsageMetadata? Type93 { get; set; } /// /// /// - public global::Google.Gemini.File? Type94 { get; set; } + public global::Google.Gemini.StreamableHttpTransport? Type94 { get; set; } /// /// /// - public global::Google.Gemini.StringList? Type95 { get; set; } + public global::System.Collections.Generic.Dictionary? Type95 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type96 { get; set; } + public global::Google.Gemini.GoogleMaps? Type96 { get; set; } /// /// /// - public global::Google.Gemini.Maps? Type97 { get; set; } + public global::Google.Gemini.FileState? Type97 { get; set; } /// /// /// - public global::Google.Gemini.PlaceAnswerSources? Type98 { get; set; } + public byte[]? Type98 { get; set; } /// /// /// - public global::Google.Gemini.FunctionResponseBlob? Type99 { get; set; } + public global::Google.Gemini.FileSource? Type99 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResult? Type100 { get; set; } + public global::Google.Gemini.VideoFileMetadata? Type100 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecutionResultOutcome? Type101 { get; set; } + public global::Google.Gemini.Part? Type101 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchStats? Type102 { get; set; } + public global::Google.Gemini.CodeExecutionResult? Type102 { get; set; } /// /// /// - public global::Google.Gemini.GoogleSearch? Type103 { get; set; } + public global::Google.Gemini.FunctionCall? Type103 { get; set; } /// /// /// - public global::Google.Gemini.Corpus? Type104 { get; set; } + public global::Google.Gemini.FunctionResponse? Type104 { get; set; } /// /// /// - public global::Google.Gemini.BatchStats? Type105 { get; set; } + public global::Google.Gemini.Blob? Type105 { get; set; } /// /// /// - public global::Google.Gemini.Model? Type106 { get; set; } + public global::Google.Gemini.ToolResponse? Type106 { get; set; } /// /// /// - public global::Google.Gemini.TuningExample? Type107 { get; set; } + public global::Google.Gemini.FunctionResponsePart? Type107 { get; set; } /// /// /// - public global::Google.Gemini.GroundingAttribution? Type108 { get; set; } + public global::Google.Gemini.FunctionResponseBlob? Type108 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequests? Type109 { get; set; } + public global::Google.Gemini.FileSearch? Type109 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type110 { get; set; } + public global::Google.Gemini.McpServer? Type110 { get; set; } /// /// /// - public global::Google.Gemini.InlinedRequest? Type111 { get; set; } + public global::Google.Gemini.Operation? Type111 { get; set; } /// /// /// - public global::Google.Gemini.CreateFileResponse? Type112 { get; set; } + public global::Google.Gemini.ToolResponseToolType? Type112 { get; set; } /// /// /// - public global::Google.Gemini.ListModelsResponse? Type113 { get; set; } + public global::Google.Gemini.PrebuiltVoiceConfig? Type113 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type114 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponses? Type114 { get; set; } /// /// /// - public global::Google.Gemini.VoiceConfig? Type115 { get; set; } + public global::System.Collections.Generic.IList? Type115 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCode? Type116 { get; set; } + public global::Google.Gemini.InlinedEmbedContentResponse? Type116 { get; set; } /// /// /// - public global::Google.Gemini.FileData? Type117 { get; set; } + public global::Google.Gemini.ModalityTokenCountModality? Type117 { get; set; } /// /// /// - public global::Google.Gemini.ToolCall? Type118 { get; set; } + public global::Google.Gemini.FunctionCallingConfig? Type118 { get; set; } /// /// /// - public global::Google.Gemini.VideoMetadata? Type119 { get; set; } + public global::Google.Gemini.SpeakerVoiceConfig? Type119 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponse? Type120 { get; set; } + public global::Google.Gemini.VoiceConfig? Type120 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCall? Type121 { get; set; } + public global::Google.Gemini.ListFileSearchStoresResponse? Type121 { get; set; } /// /// /// - public global::Google.Gemini.Blob? Type122 { get; set; } + public global::System.Collections.Generic.IList? Type122 { get; set; } /// /// /// - public global::Google.Gemini.Document? Type123 { get; set; } + public global::Google.Gemini.FileSearchStore? Type123 { get; set; } /// /// /// - public global::Google.Gemini.DocumentState? Type124 { get; set; } + public global::Google.Gemini.GenerateContentBatchOutput? Type124 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensRequest? Type125 { get; set; } + public global::Google.Gemini.SpeechConfig? Type125 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequest? Type126 { get; set; } + public global::Google.Gemini.MultiSpeakerVoiceConfig? Type126 { get; set; } /// /// /// - public global::Google.Gemini.GoogleMaps? Type127 { get; set; } + public global::Google.Gemini.InputConfig? Type127 { get; set; } /// /// /// - public global::Google.Gemini.LatLng? Type128 { get; set; } + public global::System.Collections.Generic.IList? Type128 { get; set; } /// /// /// - public double? Type129 { get; set; } + public global::System.Collections.Generic.IList? Type129 { get; set; } /// /// /// - public global::Google.Gemini.VideoFileMetadata? Type130 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type130 { get; set; } /// /// /// - public global::Google.Gemini.StreamableHttpTransport? Type131 { get; set; } + public global::Google.Gemini.SearchEntryPoint? Type131 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type132 { get; set; } + public global::Google.Gemini.ThinkingConfig? Type132 { get; set; } /// /// /// - public global::Google.Gemini.RetrievalConfig? Type133 { get; set; } + public global::Google.Gemini.ThinkingConfigThinkingLevel? Type133 { get; set; } /// /// /// - public global::Google.Gemini.Candidate? Type134 { get; set; } + public global::Google.Gemini.GroundingPassageId? Type134 { get; set; } /// /// /// - public global::Google.Gemini.LogprobsResult? Type135 { get; set; } + public global::Google.Gemini.ListGeneratedFilesResponse? Type135 { get; set; } /// /// /// - public global::Google.Gemini.CandidateFinishReason? Type136 { get; set; } + public global::System.Collections.Generic.IList? Type136 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type137 { get; set; } + public global::Google.Gemini.GeneratedFile? Type137 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type138 { get; set; } + public global::Google.Gemini.ComputerUse? Type138 { get; set; } /// /// /// - public global::Google.Gemini.GroundingMetadata? Type139 { get; set; } + public global::Google.Gemini.ComputerUseEnvironment? Type139 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentResponse? Type140 { get; set; } + public global::Google.Gemini.ListOperationsResponse? Type140 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatch? Type141 { get; set; } + public global::System.Collections.Generic.IList? Type141 { get; set; } /// /// /// - public global::Google.Gemini.InputConfig? Type142 { get; set; } + public global::Google.Gemini.SearchTypes? Type142 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchOutput? Type143 { get; set; } + public global::Google.Gemini.WebSearch? Type143 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentBatchState? Type144 { get; set; } + public global::Google.Gemini.BatchStats? Type144 { get; set; } /// /// /// - public global::Google.Gemini.CustomLongRunningOperation? Type145 { get; set; } + public global::Google.Gemini.GoogleAiGenerativelanguageV1betaSegment? Type145 { get; set; } /// /// /// - public global::Google.Gemini.CodeExecution? Type146 { get; set; } + public global::Google.Gemini.ListDocumentsResponse? Type146 { get; set; } /// /// /// - public global::Google.Gemini.ListCachedContentsResponse? Type147 { get; set; } + public global::System.Collections.Generic.IList? Type147 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type148 { get; set; } + public global::Google.Gemini.CountTokensRequest? Type148 { get; set; } /// /// /// - public global::Google.Gemini.ContentEmbedding? Type149 { get; set; } + public global::Google.Gemini.InputEmbedContentConfig? Type149 { get; set; } /// /// /// - public global::Google.Gemini.EmbeddingUsageMetadata? Type150 { get; set; } + public global::Google.Gemini.UploadToFileSearchStoreRequest? Type150 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponses? Type151 { get; set; } + public global::Google.Gemini.EmbedContentConfig? Type151 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesRequest? Type152 { get; set; } + public global::Google.Gemini.EmbedContentConfigTaskType? Type152 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunkStringList? Type153 { get; set; } + public global::Google.Gemini.TuningSnapshot? Type153 { get; set; } /// /// /// - public global::Google.Gemini.ListDocumentsResponse? Type154 { get; set; } + public global::Google.Gemini.Schema? Type154 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type155 { get; set; } + public global::System.Collections.Generic.IList? Type155 { get; set; } /// /// /// - public global::Google.Gemini.CountTokensResponse? Type156 { get; set; } + public global::System.Collections.Generic.Dictionary? Type156 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type157 { get; set; } + public global::Google.Gemini.SchemaType? Type157 { get; set; } /// /// /// - public global::Google.Gemini.McpServer? Type158 { get; set; } + public global::Google.Gemini.GeneratedFileState? Type158 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUse? Type159 { get; set; } + public global::Google.Gemini.Dataset? Type159 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type160 { get; set; } + public global::Google.Gemini.TuningExamples? Type160 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedback? Type161 { get; set; } + public global::Google.Gemini.TuningExample? Type161 { get; set; } /// /// /// - public global::Google.Gemini.PromptFeedbackBlockReason? Type162 { get; set; } + public global::Google.Gemini.GoogleSearchRetrieval? Type162 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfig? Type163 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfig? Type163 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentConfigTaskType? Type164 { get; set; } + public global::Google.Gemini.GoogleSearch? Type164 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchOutput? Type165 { get; set; } + public global::Google.Gemini.DynamicRetrievalConfigMode? Type165 { get; set; } /// /// /// - public global::Google.Gemini.PrebuiltVoiceConfig? Type166 { get; set; } + public global::Google.Gemini.GenerateContentBatch? Type166 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatch? Type167 { get; set; } + public global::Google.Gemini.GenerateContentBatchState? Type167 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentBatchState? Type168 { get; set; } + public global::Google.Gemini.EmbedContentBatch? Type168 { get; set; } /// /// /// - public global::Google.Gemini.InputEmbedContentConfig? Type169 { get; set; } + public global::Google.Gemini.EmbedContentBatchStats? Type169 { get; set; } /// /// /// - public global::Google.Gemini.GroundingChunk? Type170 { get; set; } + public global::Google.Gemini.EmbedContentBatchOutput? Type170 { get; set; } /// /// /// - public global::Google.Gemini.Image? Type171 { get; set; } + public global::Google.Gemini.EmbedContentBatchState? Type171 { get; set; } /// /// /// - public global::Google.Gemini.TopCandidates? Type172 { get; set; } + public global::Google.Gemini.FunctionResponseScheduling? Type172 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type173 { get; set; } + public global::System.Collections.Generic.IList? Type173 { get; set; } /// /// /// - public global::Google.Gemini.RegisterFilesResponse? Type174 { get; set; } + public global::Google.Gemini.ReviewSnippet? Type174 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type175 { get; set; } + public global::System.Collections.Generic.IList? Type175 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type176 { get; set; } + public global::Google.Gemini.LogprobsResultCandidate? Type176 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type177 { get; set; } + public global::System.Collections.Generic.IList? Type177 { get; set; } /// /// /// - public global::Google.Gemini.ThinkingConfigThinkingLevel? Type178 { get; set; } + public global::Google.Gemini.TopCandidates? Type178 { get; set; } /// /// /// - public global::Google.Gemini.FileSource? Type179 { get; set; } + public global::Google.Gemini.CodeExecution? Type179 { get; set; } /// /// /// - public global::Google.Gemini.FileState? Type180 { get; set; } + public global::Google.Gemini.EmbedContentResponse? Type180 { get; set; } /// /// /// - public global::Google.Gemini.Dataset? Type181 { get; set; } + public global::Google.Gemini.CustomLongRunningOperation? Type181 { get; set; } /// /// /// - public global::Google.Gemini.TuningExamples? Type182 { get; set; } + public global::Google.Gemini.ModelStatus? Type182 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsResponse? Type183 { get; set; } + public global::Google.Gemini.ModelStatusModelStage? Type183 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type184 { get; set; } + public global::Google.Gemini.EmbedContentRequestTaskType? Type184 { get; set; } /// /// /// - public global::Google.Gemini.ExecutableCodeLanguage? Type185 { get; set; } + public global::System.Collections.Generic.IList? Type185 { get; set; } /// /// /// - public global::Google.Gemini.ListCorporaResponse? Type186 { get; set; } + public global::Google.Gemini.ImageConfig? Type186 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type187 { get; set; } + public global::Google.Gemini.ListCorporaResponse? Type187 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? 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.Corpus? Type189 { get; set; } /// /// /// - public global::Google.Gemini.GoogleAiGenerativelanguageV1betaGroundingSupport? Type190 { get; set; } + public global::Google.Gemini.FunctionDeclaration? Type190 { get; set; } /// /// /// - public global::Google.Gemini.ListFileSearchStoresResponse? Type191 { get; set; } + public global::Google.Gemini.FunctionDeclarationBehavior? Type191 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type192 { get; set; } + public global::System.Collections.Generic.IList? Type192 { get; set; } /// /// /// - public global::Google.Gemini.FileSearchStore? Type193 { get; set; } + public global::Google.Gemini.PromptFeedback? Type193 { get; set; } /// /// /// - public global::System.Collections.Generic.Dictionary? Type194 { get; set; } + public global::System.Collections.Generic.IList? Type194 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type195 { get; set; } + public global::System.Collections.Generic.IList? Type195 { get; set; } /// /// /// - public global::Google.Gemini.SchemaType? Type196 { get; set; } + public global::Google.Gemini.GenerationConfigMediaResolution? Type196 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type197 { get; set; } + public global::System.Collections.Generic.IList? Type197 { get; set; } /// /// /// - public global::Google.Gemini.InlinedResponse? Type198 { get; set; } + public global::Google.Gemini.GenerationConfigResponseModalitie? Type198 { get; set; } /// /// /// - public global::Google.Gemini.ListFilesResponse? Type199 { get; set; } + public global::Google.Gemini.Model? Type199 { get; set; } /// /// /// - public global::Google.Gemini.ToolCallToolType? Type200 { get; set; } + public global::Google.Gemini.PromptFeedbackBlockReason? Type200 { get; set; } /// /// /// - public global::Google.Gemini.ReviewSnippet? Type201 { get; set; } + public global::Google.Gemini.CodeExecutionResultOutcome? Type201 { get; set; } /// /// /// - public global::Google.Gemini.UploadToFileSearchStoreRequest? Type202 { get; set; } + public global::System.Collections.Generic.IList? Type202 { get; set; } /// /// /// - public global::Google.Gemini.ModalityTokenCountModality? Type203 { get; set; } + public global::Google.Gemini.ListModelsResponse? Type203 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentResponse? Type204 { get; set; } + public global::System.Collections.Generic.IList? Type204 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type205 { get; set; } + public global::Google.Gemini.ListFilesResponse? Type205 { get; set; } /// /// /// - public global::Google.Gemini.ListGeneratedFilesResponse? Type206 { get; set; } + public global::System.Collections.Generic.IList? Type206 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type207 { get; set; } + public global::System.Collections.Generic.IList? Type207 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFile? Type208 { get; set; } + public global::System.Collections.Generic.IList? Type208 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type209 { get; set; } + public global::System.Collections.Generic.IList? Type209 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequest? Type210 { get; set; } + public global::Google.Gemini.FunctionCallingConfigMode? Type210 { get; set; } /// /// /// - public global::Google.Gemini.EmbedContentRequestTaskType? Type211 { get; set; } + public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type211 { get; set; } /// /// /// - public global::Google.Gemini.TransferOwnershipRequest? Type212 { get; set; } + public global::Google.Gemini.SafetyRatingProbability? Type212 { get; set; } /// /// /// - public global::Google.Gemini.BatchGenerateContentRequest? Type213 { get; set; } + public global::Google.Gemini.SafetyRatingCategory? Type213 { get; set; } /// /// /// - public global::Google.Gemini.PermissionGranteeType? Type214 { get; set; } + public global::Google.Gemini.TransferOwnershipResponse? Type214 { get; set; } /// /// /// - public global::Google.Gemini.PermissionRole? Type215 { get; set; } + public global::Google.Gemini.CreateFileResponse? Type215 { get; set; } /// /// /// - public global::Google.Gemini.ListTunedModelsResponse? Type216 { get; set; } + public global::Google.Gemini.RegisterFilesRequest? Type216 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type217 { get; set; } + public global::Google.Gemini.ListPermissionsResponse? Type217 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type218 { get; set; } + public global::System.Collections.Generic.IList? Type218 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfig? Type219 { get; set; } + public global::Google.Gemini.Permission? Type219 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type220 { get; set; } + public global::Google.Gemini.RegisterFilesResponse? Type220 { get; set; } /// /// /// - public global::Google.Gemini.ListOperationsResponse? Type221 { get; set; } + public global::Google.Gemini.BatchGenerateContentRequest? Type221 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type222 { get; set; } + public global::Google.Gemini.TransferOwnershipRequest? Type222 { get; set; } /// /// /// - public global::Google.Gemini.FunctionCallingConfigMode? Type223 { get; set; } + public global::System.Collections.Generic.IList? Type223 { get; set; } /// /// /// - public global::Google.Gemini.ToolResponseToolType? Type224 { get; set; } + public global::Google.Gemini.ListCachedContentsResponse? Type224 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type225 { get; set; } + public global::System.Collections.Generic.IList? Type225 { get; set; } /// /// /// - public global::Google.Gemini.BatchEmbedContentsRequest? Type226 { get; set; } + public global::Google.Gemini.TuningTask? Type226 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type227 { get; set; } + public global::System.Collections.Generic.IList? Type227 { get; set; } /// /// /// - public global::Google.Gemini.GeneratedFileState? Type228 { get; set; } + public global::Google.Gemini.TunedModelState? Type228 { get; set; } /// /// /// - public global::Google.Gemini.GenerateContentRequestServiceTier? Type229 { get; set; } + public global::Google.Gemini.PermissionGranteeType? Type229 { get; set; } /// /// /// - public global::System.Collections.Generic.IList? Type230 { get; set; } + public global::Google.Gemini.PermissionRole? Type230 { get; set; } /// /// /// - public global::Google.Gemini.UrlMetadataUrlRetrievalStatus? Type231 { get; set; } + public global::Google.Gemini.SafetySettingCategory? Type231 { get; set; } /// /// /// - public global::Google.Gemini.ComputerUseEnvironment? Type232 { get; set; } + public global::Google.Gemini.SafetySettingThreshold? Type232 { get; set; } /// /// /// - public global::Google.Gemini.Empty? Type233 { get; set; } + public global::Google.Gemini.BatchEmbedContentsResponse? Type233 { get; set; } /// /// /// - public global::Google.Gemini.AsyncBatchEmbedContentRequest? Type234 { get; set; } + public global::System.Collections.Generic.IList? Type234 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType0 { get; set; } + public global::System.Collections.Generic.List? ListType0 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType1 { get; set; } + public global::System.Collections.Generic.List? ListType1 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType2 { get; set; } + public global::System.Collections.Generic.List? ListType2 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType3 { get; set; } + public global::System.Collections.Generic.List? ListType3 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType4 { get; set; } + public global::System.Collections.Generic.List? ListType4 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType5 { get; set; } + public global::System.Collections.Generic.List? ListType5 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType6 { get; set; } + public global::System.Collections.Generic.List? ListType6 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType7 { get; set; } + public global::System.Collections.Generic.List? ListType7 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType8 { get; set; } + public global::System.Collections.Generic.List? ListType8 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType9 { get; set; } + public global::System.Collections.Generic.List? ListType9 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType10 { get; set; } + public global::System.Collections.Generic.List? ListType10 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType11 { get; set; } + public global::System.Collections.Generic.List? ListType11 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType12 { get; set; } + public global::System.Collections.Generic.List? ListType12 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType13 { get; set; } + public global::System.Collections.Generic.List? ListType13 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType14 { get; set; } + public global::System.Collections.Generic.List? ListType14 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType15 { get; set; } + public global::System.Collections.Generic.List? ListType15 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType16 { get; set; } + public global::System.Collections.Generic.List? ListType16 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType17 { get; set; } + public global::System.Collections.Generic.List? ListType17 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType18 { get; set; } + public global::System.Collections.Generic.List? ListType18 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType19 { get; set; } + public global::System.Collections.Generic.List? ListType19 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType20 { get; set; } + public global::System.Collections.Generic.List? ListType20 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType21 { get; set; } + public global::System.Collections.Generic.List? ListType21 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType22 { get; set; } + public global::System.Collections.Generic.List? ListType22 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType23 { get; set; } + public global::System.Collections.Generic.List? ListType23 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType24 { get; set; } + public global::System.Collections.Generic.List? ListType24 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType25 { get; set; } + public global::System.Collections.Generic.List? ListType25 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType26 { get; set; } + public global::System.Collections.Generic.List? ListType26 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType27 { get; set; } + public global::System.Collections.Generic.List? ListType27 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType28 { get; set; } + public global::System.Collections.Generic.List? ListType28 { get; set; } /// /// /// @@ -1089,39 +1089,39 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - public global::System.Collections.Generic.List? ListType30 { get; set; } + public global::System.Collections.Generic.List? ListType30 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType31 { get; set; } + public global::System.Collections.Generic.List? ListType31 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType32 { get; set; } + public global::System.Collections.Generic.List? ListType32 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType33 { get; set; } + public global::System.Collections.Generic.List? ListType33 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType34 { get; set; } + public global::System.Collections.Generic.List? ListType34 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType35 { get; set; } + public global::System.Collections.Generic.List? ListType35 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType36 { get; set; } + public global::System.Collections.Generic.List? ListType36 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType37 { get; set; } + public global::System.Collections.Generic.List? ListType37 { get; set; } /// /// /// - public global::System.Collections.Generic.List? ListType38 { get; set; } + public global::System.Collections.Generic.List? ListType38 { get; set; } /// /// /// @@ -1129,22 +1129,22 @@ public sealed partial class JsonSerializerContextTypes /// /// /// - 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 aafee3b8d..1ebf359da 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class BatchStats { - /// - /// Output only. The number of requests that are still pending processing.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] - public string? PendingRequestCount { get; set; } - /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -29,6 +22,13 @@ public sealed partial class BatchStats [global::System.Text.Json.Serialization.JsonPropertyName("successfulRequestCount")] public string? SuccessfulRequestCount { get; set; } + /// + /// Output only. The number of requests that are still pending processing.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("pendingRequestCount")] + public string? PendingRequestCount { get; set; } + /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -45,10 +45,6 @@ public sealed partial class BatchStats /// /// Initializes a new instance of the class. /// - /// - /// Output only. The number of requests that are still pending processing.
- /// Included only in responses - /// /// /// Output only. The number of requests in the batch.
/// Included only in responses @@ -57,6 +53,10 @@ 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 are still pending processing.
+ /// Included only in responses + /// /// /// Output only. The number of requests that failed to be processed.
/// Included only in responses @@ -65,14 +65,14 @@ public sealed partial class BatchStats [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public BatchStats( - string? pendingRequestCount, string? requestCount, string? successfulRequestCount, + string? pendingRequestCount, string? failedRequestCount) { - this.PendingRequestCount = pendingRequestCount; this.RequestCount = requestCount; this.SuccessfulRequestCount = successfulRequestCount; + this.PendingRequestCount = pendingRequestCount; this.FailedRequestCount = failedRequestCount; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs index b67ea9274..99565ceeb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Blob.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Blob { - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } - /// /// Raw bytes for media formats. /// [global::System.Text.Json.Serialization.JsonPropertyName("data")] public byte[]? Data { get; set; } + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// + [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] + public string? MimeType { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Blob /// /// Initializes a new instance of the class. /// - /// - /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // - /// /// /// Raw bytes for media formats. /// + /// + /// The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). // + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Blob( - string? mimeType, - byte[]? data) + byte[]? data, + string? mimeType) { - this.MimeType = mimeType; this.Data = data; + this.MimeType = mimeType; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs index 9ab4cb6b5..cb7a7af52 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CachedContent.g.cs @@ -15,11 +15,10 @@ public sealed partial class CachedContent public global::System.Collections.Generic.IList? Tools { get; set; } /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -34,12 +33,6 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] public string? CreateTime { 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; } - /// /// Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input. /// @@ -47,16 +40,16 @@ public sealed partial class CachedContent public string? ExpireTime { get; set; } /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("model")] - public string? Model { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] + public global::Google.Gemini.Content? SystemInstruction { get; set; } /// - /// Optional. Input only. Immutable. The content to cache. + /// Input only. New TTL for this resource, input only. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [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}`
@@ -66,16 +59,10 @@ public sealed partial class CachedContent public string? Name { get; set; } /// - /// Input only. New TTL for this resource, input only. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("ttl")] - public string? Ttl { get; set; } - - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. Input only. Immutable. The content to cache. /// - [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] - public global::Google.Gemini.Content? SystemInstruction { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } /// /// Metadata on the usage of the cached content. @@ -83,6 +70,19 @@ public sealed partial class CachedContent [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] public global::Google.Gemini.CachedContentUsageMetadata? UsageMetadata { get; set; } + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + + /// + /// 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; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -95,9 +95,8 @@ public sealed partial class CachedContent /// /// Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response /// - /// - /// Output only. When the cache entry was last updated in UTC time.
- /// Included only in responses + /// + /// Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters. /// /// /// The Tool configuration containing parameters for specifying `Tool` use in the request. @@ -106,60 +105,61 @@ public sealed partial class CachedContent /// Output only. Creation time of the cache entry.
/// Included only in responses /// - /// - /// 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. /// - /// - /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - /// - /// Optional. Input only. Immutable. The content to cache. + /// + /// Input only. New TTL for this resource, input only. /// /// /// Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
/// Included only in responses /// - /// - /// Input only. New TTL for this resource, input only. - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Optional. Input only. Immutable. The content to cache. /// /// /// Metadata on the usage of the cached content. /// + /// + /// Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}` + /// + /// + /// Output only. When the cache entry was last updated in UTC time.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CachedContent( global::System.Collections.Generic.IList? tools, - string? updateTime, + string? displayName, global::Google.Gemini.ToolConfig? toolConfig, string? createTime, - string? displayName, string? expireTime, - string? model, - global::System.Collections.Generic.IList? contents, - string? name, - string? ttl, global::Google.Gemini.Content? systemInstruction, - global::Google.Gemini.CachedContentUsageMetadata? usageMetadata) + string? ttl, + string? name, + global::System.Collections.Generic.IList? contents, + global::Google.Gemini.CachedContentUsageMetadata? usageMetadata, + string? model, + string? updateTime) { this.Tools = tools; - this.UpdateTime = updateTime; + this.DisplayName = displayName; this.ToolConfig = toolConfig; this.CreateTime = createTime; - this.DisplayName = displayName; this.ExpireTime = expireTime; - this.Model = model; - this.Contents = contents; - this.Name = name; - this.Ttl = ttl; this.SystemInstruction = systemInstruction; + this.Ttl = ttl; + this.Name = name; + this.Contents = contents; this.UsageMetadata = usageMetadata; + this.Model = model; + this.UpdateTime = updateTime; } /// 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 a5dddc075..14132f6e2 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 @@ -9,43 +9,44 @@ namespace Google.Gemini public sealed partial class Candidate { /// - /// Logprobs Result + /// Output only. Index of the candidate in the list of response candidates.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] - public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("index")] + public int? Index { get; set; } /// - /// Metadata related to url context retrieval tool. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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("urlContextMetadata")] - public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { 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. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
+ /// Output only. Average log probability score of the candidate.
/// 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("avgLogprobs")] + public double? AvgLogprobs { get; set; } /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] + public string? FinishMessage { get; set; } /// - /// A collection of source attributions for a piece of content. + /// Logprobs Result /// - [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] - public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobsResult")] + public global::Google.Gemini.LogprobsResult? LogprobsResult { get; set; } /// /// Output only. Token count for this candidate.
@@ -55,24 +56,24 @@ public sealed partial class Candidate public int? TokenCount { get; set; } /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses + /// Metadata related to url context retrieval tool. /// - [global::System.Text.Json.Serialization.JsonPropertyName("avgLogprobs")] - public double? AvgLogprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("urlContextMetadata")] + public global::Google.Gemini.UrlContextMetadata? UrlContextMetadata { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. 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("content")] - public global::Google.Gemini.Content? Content { 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; } /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
- /// Included only in responses + /// A collection of source attributions for a piece of content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("finishMessage")] - public string? FinishMessage { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("citationMetadata")] + public global::Google.Gemini.CitationMetadata? CitationMetadata { get; set; } /// /// Metadata returned to client when grounding is enabled. @@ -81,11 +82,10 @@ public sealed partial class Candidate public global::Google.Gemini.GroundingMetadata? GroundingMetadata { get; set; } /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// - [global::System.Text.Json.Serialization.JsonPropertyName("index")] - public int? Index { get; set; } + [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 @@ -96,77 +96,77 @@ public sealed partial class Candidate /// /// Initializes a new instance of the class. /// - /// - /// Logprobs Result - /// - /// - /// Metadata related to url context retrieval tool. - /// - /// - /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
+ /// + /// Output only. Index of the candidate in the list of response candidates.
/// Included only in responses /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
/// Included only in responses /// - /// - /// List of ratings for the safety of a response candidate. There is at most one rating per category. + /// + /// Output only. Average log probability score of the candidate.
+ /// Included only in responses /// - /// - /// A collection of source attributions for a piece of content. + /// + /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// Included only in responses + /// + /// + /// Logprobs Result /// /// /// Output only. Token count for this candidate.
/// Included only in responses /// - /// - /// Output only. Average log probability score of the candidate.
- /// Included only in responses - /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// + /// Metadata related to url context retrieval tool. /// - /// - /// Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.
+ /// + /// Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
/// Included only in responses /// + /// + /// A collection of source attributions for a piece of content. + /// /// /// Metadata returned to client when grounding is enabled. /// - /// - /// Output only. Index of the candidate in the list of response candidates.
- /// Included only in responses + /// + /// List of ratings for the safety of a response candidate. There is at most one rating per category. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Candidate( + int? index, + global::Google.Gemini.Content? content, + global::System.Collections.Generic.IList? groundingAttributions, + double? avgLogprobs, + string? finishMessage, global::Google.Gemini.LogprobsResult? logprobsResult, + int? tokenCount, global::Google.Gemini.UrlContextMetadata? urlContextMetadata, global::Google.Gemini.CandidateFinishReason? finishReason, - global::System.Collections.Generic.IList? groundingAttributions, - global::System.Collections.Generic.IList? safetyRatings, global::Google.Gemini.CitationMetadata? citationMetadata, - int? tokenCount, - double? avgLogprobs, - global::Google.Gemini.Content? content, - string? finishMessage, global::Google.Gemini.GroundingMetadata? groundingMetadata, - int? index) + global::System.Collections.Generic.IList? safetyRatings) { + this.Index = index; + this.Content = content; + this.GroundingAttributions = groundingAttributions; + this.AvgLogprobs = avgLogprobs; + this.FinishMessage = finishMessage; this.LogprobsResult = logprobsResult; + this.TokenCount = tokenCount; this.UrlContextMetadata = urlContextMetadata; this.FinishReason = finishReason; - this.GroundingAttributions = groundingAttributions; - this.SafetyRatings = safetyRatings; this.CitationMetadata = citationMetadata; - this.TokenCount = tokenCount; - this.AvgLogprobs = avgLogprobs; - this.Content = content; - this.FinishMessage = finishMessage; this.GroundingMetadata = groundingMetadata; - this.Index = index; + this.SafetyRatings = safetyRatings; } /// 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 d7f0bac25..25761f507 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CitationSource.g.cs @@ -20,18 +20,18 @@ public sealed partial class CitationSource [global::System.Text.Json.Serialization.JsonPropertyName("startIndex")] public int? StartIndex { get; set; } - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("license")] - public string? License { get; set; } - /// /// Optional. End of the attributed segment, exclusive. /// [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] public int? EndIndex { get; set; } + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("license")] + public string? License { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -47,25 +47,25 @@ public sealed partial class CitationSource /// /// Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes. /// - /// - /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. - /// /// /// Optional. End of the attributed segment, exclusive. /// + /// + /// Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CitationSource( string? uri, int? startIndex, - string? license, - int? endIndex) + int? endIndex, + string? license) { this.Uri = uri; this.StartIndex = startIndex; - this.License = license; this.EndIndex = endIndex; + this.License = license; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs index 1669c1ec4..c36154c68 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CodeExecutionResult.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class CodeExecutionResult { + /// + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("id")] + public string? Id { get; set; } + /// /// Required. Outcome of the code execution. /// @@ -21,12 +27,6 @@ public sealed partial class CodeExecutionResult [global::System.Text.Json.Serialization.JsonPropertyName("output")] public string? Output { get; set; } - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("id")] - public string? Id { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -36,26 +36,26 @@ public sealed partial class CodeExecutionResult /// /// Initializes a new instance of the class. /// + /// + /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. + /// /// /// Required. Outcome of the code execution. /// /// /// Optional. Contains stdout when code execution is successful, stderr or other description otherwise. /// - /// - /// Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CodeExecutionResult( + string? id, global::Google.Gemini.CodeExecutionResultOutcome? outcome, - string? output, - string? id) + string? output) { + this.Id = id; this.Outcome = outcome; this.Output = output; - this.Id = id; } /// 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 ded964d79..11fa487e0 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. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses @@ -35,6 +28,13 @@ public sealed partial class Corpus [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] public string? UpdateTime { get; set; } + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// + [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. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the "corpora/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`
/// Included only in responses @@ -59,19 +55,23 @@ public sealed partial class Corpus /// Output only. The Timestamp of when the `Corpus` was last updated.
/// Included only in responses /// + /// + /// Output only. The Timestamp of when the `Corpus` was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Corpus( - string? createTime, string? name, string? displayName, - string? updateTime) + string? updateTime, + string? createTime) { - this.CreateTime = createTime; this.Name = name; this.DisplayName = displayName; this.UpdateTime = updateTime; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CountTokensResponse.g.cs index 387bd46b8..af9906bc4 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 @@ -8,12 +8,6 @@ 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). /// @@ -21,18 +15,24 @@ public sealed partial class CountTokensResponse public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed in the cached content.
+ /// 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; } + + /// + /// Output only. List of modalities that were processed in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] + public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -43,33 +43,33 @@ public sealed partial class CountTokensResponse /// /// Initializes a new instance of the class. /// - /// - /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. - /// /// /// Number of tokens in the cached part of the prompt (the cached content). /// - /// - /// Output only. List of modalities that were processed in the request input.
- /// Included only in responses - /// /// /// Output only. List of modalities that were processed in the cached content.
/// Included only in responses /// + /// + /// The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative. + /// + /// + /// Output only. List of modalities that were processed in the request input.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CountTokensResponse( - int? totalTokens, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? cacheTokensDetails) + global::System.Collections.Generic.IList? cacheTokensDetails, + int? totalTokens, + global::System.Collections.Generic.IList? promptTokensDetails) { - this.TotalTokens = totalTokens; this.CachedContentTokenCount = cachedContentTokenCount; - this.PromptTokensDetails = promptTokensDetails; this.CacheTokensDetails = cacheTokensDetails; + this.TotalTokens = totalTokens; + this.PromptTokensDetails = promptTokensDetails; } /// 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 ce1b0172b..49410e4f8 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 { /// - /// 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`. @@ -33,10 +33,10 @@ public sealed partial class CustomLongRunningOperation 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 `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("done")] - public bool? Done { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,8 +47,8 @@ public sealed partial class CustomLongRunningOperation /// /// Initializes a new instance of the class. /// - /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// 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`. @@ -59,24 +59,24 @@ 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. /// - /// - /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. + /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomLongRunningOperation( - global::Google.Gemini.Status? error, + bool? done, object? response, string? name, object? metadata, - bool? done) + global::Google.Gemini.Status? error) { - this.Error = error; + this.Done = done; this.Response = response; this.Name = name; this.Metadata = metadata; - this.Done = done; + this.Error = error; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs index 9b5764482..69be9a709 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.CustomMetadata.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class CustomMetadata { - /// - /// Required. The key of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("key")] - public string? Key { get; set; } - - /// - /// The string value of the metadata to store. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] - public string? StringValue { get; set; } - /// /// User provided string values assigned to a single metadata key. /// @@ -32,6 +20,18 @@ public sealed partial class CustomMetadata [global::System.Text.Json.Serialization.JsonPropertyName("numericValue")] public float? NumericValue { get; set; } + /// + /// Required. The key of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("key")] + public string? Key { get; set; } + + /// + /// The string value of the metadata to store. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("stringValue")] + public string? StringValue { get; set; } + /// /// 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. /// - /// - /// Required. The key of the metadata to store. - /// - /// - /// The string value of the metadata to store. - /// /// /// User provided string values assigned to a single metadata key. /// /// /// The numeric value of the metadata to store. /// + /// + /// Required. The key of the metadata to store. + /// + /// + /// The string value of the metadata to store. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public CustomMetadata( - string? key, - string? stringValue, global::Google.Gemini.StringList? stringListValue, - float? numericValue) + float? numericValue, + string? key, + string? stringValue) { - this.Key = key; - this.StringValue = stringValue; this.StringListValue = stringListValue; this.NumericValue = numericValue; + this.Key = key; + this.StringValue = stringValue; } /// 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 fc06e9e95..b2d99ebf1 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 @@ -8,13 +8,6 @@ namespace Google.Gemini /// public sealed partial class Document { - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - /// /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// @@ -22,11 +15,16 @@ public sealed partial class Document public string? Name { 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. Current state of the `Document`.
@@ -51,16 +49,18 @@ public sealed partial class Document public string? MimeType { get; set; } /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// Output only. The Timestamp of when the `Document` was created.
+ /// 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("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -71,16 +71,14 @@ public sealed partial class Document /// /// Initializes a new instance of the class. /// - /// - /// Output only. The Timestamp of when the `Document` was created.
- /// Included only in responses - /// /// /// Immutable. Identifier. The `Document` resource name. The ID (name excluding the "fileSearchStores/*/documents/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c` /// - /// - /// Output only. The Timestamp of when the `Document` was last updated.
- /// Included only in responses + /// + /// 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. Current state of the `Document`.
@@ -94,33 +92,35 @@ public sealed partial class Document /// Output only. The mime type of the Document.
/// Included only in responses /// - /// - /// Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: "Semantic Retriever Documentation" + /// + /// Output only. The Timestamp of when the `Document` was last updated.
+ /// Included only in responses /// - /// - /// Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`. + /// + /// Output only. The Timestamp of when the `Document` was created.
+ /// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Document( - string? createTime, string? name, - string? updateTime, + string? displayName, + global::System.Collections.Generic.IList? customMetadata, global::Google.Gemini.DocumentState? state, string? sizeBytes, string? mimeType, - string? displayName, - global::System.Collections.Generic.IList? customMetadata) + string? updateTime, + string? createTime) { - this.CreateTime = createTime; this.Name = name; - this.UpdateTime = updateTime; + this.DisplayName = displayName; + this.CustomMetadata = customMetadata; this.State = state; this.SizeBytes = sizeBytes; this.MimeType = mimeType; - this.DisplayName = displayName; - this.CustomMetadata = customMetadata; + this.UpdateTime = updateTime; + this.CreateTime = createTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs index 26462678a..a57fba7a2 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.DynamicRetrievalConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class DynamicRetrievalConfig { - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] - public float? DynamicThreshold { get; set; } - /// /// The mode of the predictor to be used in dynamic retrieval. /// @@ -21,6 +15,12 @@ public sealed partial class DynamicRetrievalConfig [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.DynamicRetrievalConfigModeJsonConverter))] public global::Google.Gemini.DynamicRetrievalConfigMode? Mode { get; set; } + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("dynamicThreshold")] + public float? DynamicThreshold { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class DynamicRetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. - /// /// /// The mode of the predictor to be used in dynamic retrieval. /// + /// + /// The threshold to be used in dynamic retrieval. If not set, a system default value is used. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public DynamicRetrievalConfig( - float? dynamicThreshold, - global::Google.Gemini.DynamicRetrievalConfigMode? mode) + global::Google.Gemini.DynamicRetrievalConfigMode? mode, + float? dynamicThreshold) { - this.DynamicThreshold = dynamicThreshold; this.Mode = mode; + this.DynamicThreshold = dynamicThreshold; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentBatch.g.cs index 13eaa28e7..34d8efc98 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 @@ -8,12 +8,37 @@ namespace Google.Gemini /// public sealed partial class EmbedContentBatch { + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + + /// + /// Stats about the batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] + public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } + /// /// Required. The user-defined name of this batch. /// [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] public string? DisplayName { get; set; } + /// + /// Configures the input to the batch request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -28,31 +53,17 @@ public sealed partial class EmbedContentBatch public string? UpdateTime { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } - - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] - public global::Google.Gemini.EmbedContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] + public string? EndTime { get; set; } /// - /// Configures the input to the batch request. + /// 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("inputConfig")] - public global::Google.Gemini.InputEmbedContentConfig? InputConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("priority")] + public string? Priority { get; set; } /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
@@ -62,23 +73,12 @@ public sealed partial class EmbedContentBatch public string? Name { get; set; } /// - /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.EmbedContentBatchOutput? Output { get; set; } - - /// - /// 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; } - - /// - /// Stats about the batch. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchStats")] - public global::Google.Gemini.EmbedContentBatchStats? BatchStats { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentBatchStateJsonConverter))] + public global::Google.Gemini.EmbedContentBatchState? State { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -89,9 +89,22 @@ public sealed partial class EmbedContentBatch /// /// Initializes a new instance of the class. /// + /// + /// Output only. The time at which the batch was created.
+ /// Included only in responses + /// + /// + /// Stats about the batch. + /// + /// + /// The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field. + /// /// /// Required. The user-defined name of this batch. /// + /// + /// Configures the input to the batch request. + /// /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// @@ -99,61 +112,48 @@ public sealed partial class EmbedContentBatch /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. The time at which the batch processing completed.
/// Included only in responses /// - /// - /// Configures the input to the batch request. + /// + /// 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 /// - /// - /// 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.
+ /// + /// Output only. The state of the batch.
/// Included only in responses /// - /// - /// Stats about the batch. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentBatch( + string? createTime, + global::Google.Gemini.EmbedContentBatchStats? batchStats, + global::Google.Gemini.EmbedContentBatchOutput? output, string? displayName, + global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? model, string? updateTime, + string? endTime, string? priority, - string? createTime, - global::Google.Gemini.EmbedContentBatchState? state, - global::Google.Gemini.InputEmbedContentConfig? inputConfig, string? name, - global::Google.Gemini.EmbedContentBatchOutput? output, - string? endTime, - global::Google.Gemini.EmbedContentBatchStats? batchStats) + global::Google.Gemini.EmbedContentBatchState? state) { + this.CreateTime = createTime; + this.BatchStats = batchStats; + this.Output = output; this.DisplayName = displayName; + this.InputConfig = inputConfig; this.Model = model; this.UpdateTime = updateTime; + this.EndTime = endTime; this.Priority = priority; - this.CreateTime = createTime; - this.State = state; - this.InputConfig = inputConfig; this.Name = name; - this.Output = output; - this.EndTime = endTime; - this.BatchStats = batchStats; + this.State = state; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs index 52a788362..b1645617d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentConfig.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class EmbedContentConfig { + /// + /// Optional. The task type of the embedding. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] + public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } + /// /// Optional. Whether to enable OCR for document content. /// @@ -15,11 +22,10 @@ public sealed partial class EmbedContentConfig public bool? DocumentOcr { get; set; } /// - /// Optional. The task type of the embedding. + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// - [global::System.Text.Json.Serialization.JsonPropertyName("taskType")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.EmbedContentConfigTaskTypeJsonConverter))] - public global::Google.Gemini.EmbedContentConfigTaskType? TaskType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] + public bool? AutoTruncate { get; set; } /// /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. @@ -27,12 +33,6 @@ public sealed partial class EmbedContentConfig [global::System.Text.Json.Serialization.JsonPropertyName("outputDimensionality")] public int? OutputDimensionality { get; set; } - /// - /// Optional. Whether to extract audio from video content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] - public bool? AudioTrackExtraction { get; set; } - /// /// Optional. The title for the text. /// @@ -40,10 +40,10 @@ public sealed partial class EmbedContentConfig public string? Title { get; set; } /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// Optional. Whether to extract audio from video content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("autoTruncate")] - public bool? AutoTruncate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("audioTrackExtraction")] + public bool? AudioTrackExtraction { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,41 +54,41 @@ public sealed partial class EmbedContentConfig /// /// Initializes a new instance of the class. /// + /// + /// Optional. The task type of the embedding. + /// /// /// Optional. Whether to enable OCR for document content. /// - /// - /// Optional. The task type of the embedding. + /// + /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. /// /// /// Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. /// - /// - /// Optional. Whether to extract audio from video content. - /// /// /// Optional. The title for the text. /// - /// - /// Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length. + /// + /// Optional. Whether to extract audio from video content. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentConfig( - bool? documentOcr, global::Google.Gemini.EmbedContentConfigTaskType? taskType, + bool? documentOcr, + bool? autoTruncate, int? outputDimensionality, - bool? audioTrackExtraction, string? title, - bool? autoTruncate) + bool? audioTrackExtraction) { - this.DocumentOcr = documentOcr; this.TaskType = taskType; + this.DocumentOcr = documentOcr; + this.AutoTruncate = autoTruncate; this.OutputDimensionality = outputDimensionality; - this.AudioTrackExtraction = audioTrackExtraction; this.Title = title; - this.AutoTruncate = autoTruncate; + this.AudioTrackExtraction = audioTrackExtraction; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs index d2f3aa00d..ee5f5a94f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.EmbedContentRequest.g.cs @@ -11,23 +11,10 @@ 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; } - - /// - /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - [global::System.Obsolete("This property marked as deprecated.")] - public string? Title { get; set; } - - /// - /// Configurations for the EmbedContent request. + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// - [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] - public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("content")] + public global::Google.Gemini.Content? Content { get; set; } /// /// Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`). @@ -37,6 +24,12 @@ public sealed partial class EmbedContentRequest [global::System.Obsolete("This property marked as deprecated.")] public global::Google.Gemini.EmbedContentRequestTaskType? TaskType { get; set; } + /// + /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("model")] + public string? Model { get; set; } + /// /// Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`). /// @@ -45,10 +38,17 @@ public sealed partial class EmbedContentRequest public int? OutputDimensionality { get; set; } /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval. /// - [global::System.Text.Json.Serialization.JsonPropertyName("content")] - public global::Google.Gemini.Content? Content { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + [global::System.Obsolete("This property marked as deprecated.")] + public string? Title { get; set; } + + /// + /// Configurations for the EmbedContent request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("embedContentConfig")] + public global::Google.Gemini.EmbedContentConfig? EmbedContentConfig { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,26 +59,26 @@ public sealed partial class EmbedContentRequest /// /// Initializes a new instance of the class. /// + /// + /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. + /// /// /// Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}` /// /// /// Configurations for the EmbedContent request. /// - /// - /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public EmbedContentRequest( + global::Google.Gemini.Content? content, string? model, - global::Google.Gemini.EmbedContentConfig? embedContentConfig, - global::Google.Gemini.Content? content) + global::Google.Gemini.EmbedContentConfig? embedContentConfig) { + this.Content = content; this.Model = model; this.EmbedContentConfig = embedContentConfig; - this.Content = content; } /// 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 88a9d644c..5e2afd6a3 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 @@ -9,18 +9,25 @@ namespace Google.Gemini public sealed partial class File { /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// 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.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] - public string? ExpirationTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FileStateJsonConverter))] + public global::Google.Gemini.FileState? State { get; set; } /// - /// Output only. The uri of the `File`.
+ /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] + public byte[]? Sha256Hash { get; set; } /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" @@ -29,23 +36,11 @@ public sealed partial class File public string? DisplayName { 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; } - - /// - /// 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. MIME type of the file.
+ /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] - public string? MimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("expirationTime")] + public string? ExpirationTime { get; set; } /// /// Source of the File. @@ -55,18 +50,18 @@ public sealed partial class File public global::Google.Gemini.FileSource? Source { get; set; } /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// Output only. Size of the file in bytes.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] + public string? SizeBytes { get; set; } /// - /// Output only. The timestamp of when the `File` was created.
+ /// Output only. The download uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] + public string? DownloadUri { get; set; } /// /// Metadata for a video `File`. @@ -75,33 +70,38 @@ public sealed partial class File public global::Google.Gemini.VideoFileMetadata? VideoMetadata { get; set; } /// - /// Output only. The download uri of the `File`.
+ /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("downloadUri")] - public string? DownloadUri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } + + /// + /// Output only. The uri of the `File`.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sha256Hash")] - public byte[]? Sha256Hash { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Output only. Processing state of the File.
+ /// Output only. MIME type of the file.
/// 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("mimeType")] + public string? MimeType { get; set; } /// - /// Output only. Size of the file in bytes.
+ /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("sizeBytes")] - public string? SizeBytes { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -112,90 +112,90 @@ public sealed partial class File /// /// Initializes a new instance of the class. /// - /// - /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
+ /// + /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` + /// + /// + /// Output only. Processing state of the File.
/// Included only in responses /// - /// - /// Output only. The uri of the `File`.
+ /// + /// Output only. SHA-256 hash of the uploaded bytes.
/// Included only in responses /// /// /// Optional. The human-readable display name for the `File`. The display name must be no more than 512 characters in length, including spaces. Example: "Welcome Image" /// - /// - /// 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). - /// - /// - /// Immutable. Identifier. The `File` resource name. The ID (name excluding the "files/" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456` - /// - /// - /// Output only. MIME type of the file.
+ /// + /// Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
/// Included only in responses /// /// /// Source of the File. /// - /// - /// Output only. The timestamp of when the `File` was last updated.
+ /// + /// Output only. Size of the file in bytes.
/// Included only in responses /// - /// - /// Output only. The timestamp of when the `File` was created.
+ /// + /// Output only. The download uri of the `File`.
/// Included only in responses /// /// /// Metadata for a video `File`. /// - /// - /// Output only. The download uri of the `File`.
+ /// + /// Output only. The timestamp of when the `File` was last updated.
/// Included only in responses /// - /// - /// Output only. SHA-256 hash of the uploaded bytes.
+ /// + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// + /// + /// Output only. The uri of the `File`.
/// Included only in responses /// - /// - /// Output only. Processing state of the File.
+ /// + /// Output only. MIME type of the file.
/// Included only in responses /// - /// - /// Output only. Size of the file in bytes.
+ /// + /// Output only. The timestamp of when the `File` was created.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public File( - string? expirationTime, - string? uri, - string? displayName, - global::Google.Gemini.Status? error, string? name, - string? mimeType, + global::Google.Gemini.FileState? state, + byte[]? sha256Hash, + string? displayName, + string? expirationTime, global::Google.Gemini.FileSource? source, - string? updateTime, - string? createTime, - global::Google.Gemini.VideoFileMetadata? videoMetadata, + string? sizeBytes, string? downloadUri, - byte[]? sha256Hash, - global::Google.Gemini.FileState? state, - string? sizeBytes) + global::Google.Gemini.VideoFileMetadata? videoMetadata, + string? updateTime, + global::Google.Gemini.Status? error, + string? uri, + string? mimeType, + string? createTime) { - this.ExpirationTime = expirationTime; - this.Uri = uri; - this.DisplayName = displayName; - this.Error = error; this.Name = name; - this.MimeType = mimeType; + this.State = state; + this.Sha256Hash = sha256Hash; + this.DisplayName = displayName; + this.ExpirationTime = expirationTime; this.Source = source; + this.SizeBytes = sizeBytes; + this.DownloadUri = downloadUri; + this.VideoMetadata = videoMetadata; this.UpdateTime = updateTime; + this.Error = error; + this.Uri = uri; + this.MimeType = mimeType; this.CreateTime = createTime; - this.VideoMetadata = videoMetadata; - this.DownloadUri = downloadUri; - this.Sha256Hash = sha256Hash; - this.State = state; - this.SizeBytes = sizeBytes; } /// 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 5a2f47ebf..87015398f 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 @@ -9,45 +9,45 @@ namespace Google.Gemini public sealed partial class FileSearchStore { /// - /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
+ /// Output only. The Timestamp of when the `FileSearchStore` was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } /// - /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
+ /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] + public string? ActiveDocumentsCount { get; set; } /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
+ /// Output only. The number of documents in the `FileSearchStore` that have failed processing.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] + public string? FailedDocumentsCount { 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 Timestamp of when the `FileSearchStore` was last updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
+ /// 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("pendingDocumentsCount")] - public string? PendingDocumentsCount { 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.
- /// Included only in responses + /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - [global::System.Text.Json.Serialization.JsonPropertyName("failedDocumentsCount")] - public string? FailedDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } /// /// Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`.
@@ -57,11 +57,11 @@ public sealed partial class FileSearchStore public string? SizeBytes { get; set; } /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("activeDocumentsCount")] - public string? ActiveDocumentsCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("pendingDocumentsCount")] + public string? PendingDocumentsCount { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -72,6 +72,18 @@ public sealed partial class FileSearchStore /// /// Initializes a new instance of the class. /// + /// + /// 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. The number of documents in the `FileSearchStore` that have failed processing.
+ /// Included only in responses + /// /// /// Output only. The Timestamp of when the `FileSearchStore` was last updated.
/// Included only in responses @@ -80,50 +92,38 @@ public sealed partial class FileSearchStore /// Output only. Immutable. Identifier. The `FileSearchStore` resource name. It is an ID (name excluding the "fileSearchStores/" prefix) that can contain up to 40 characters that are lowercase alphanumeric or dashes (-). It is output only. The unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/my-awesome-file-search-store-123a456b789c` If `display_name` is not provided, the name will be randomly generated.
/// Included only in responses /// - /// - /// Output only. The Timestamp of when the `FileSearchStore` was created.
- /// Included only in responses - /// /// /// Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: "Docs on Semantic Retriever" /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are being processed.
- /// Included only in responses - /// - /// - /// Output only. The 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 /// - /// - /// Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.
+ /// + /// Output only. The number of documents in the `FileSearchStore` that are being processed.
/// Included only in responses /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FileSearchStore( + string? createTime, + string? activeDocumentsCount, + string? failedDocumentsCount, string? updateTime, string? name, - string? createTime, string? displayName, - string? pendingDocumentsCount, - string? failedDocumentsCount, string? sizeBytes, - string? activeDocumentsCount) + string? pendingDocumentsCount) { + this.CreateTime = createTime; + this.ActiveDocumentsCount = activeDocumentsCount; + this.FailedDocumentsCount = failedDocumentsCount; this.UpdateTime = updateTime; this.Name = name; - this.CreateTime = createTime; this.DisplayName = displayName; - this.PendingDocumentsCount = pendingDocumentsCount; - this.FailedDocumentsCount = failedDocumentsCount; this.SizeBytes = sizeBytes; - this.ActiveDocumentsCount = activeDocumentsCount; + this.PendingDocumentsCount = pendingDocumentsCount; } /// 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 310f34cc6..f79aead3e 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionCall.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class FunctionCall { - /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// Optional. The function parameters and values in JSON object format. /// [global::System.Text.Json.Serialization.JsonPropertyName("args")] public object? Args { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// @@ -35,12 +35,12 @@ 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. The function parameters and values in JSON object format. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// /// /// Optional. Unique identifier of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`. /// @@ -48,12 +48,12 @@ public sealed partial class FunctionCall [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionCall( - string? name, object? args, + string? name, string? id) { - this.Name = name; this.Args = args; + this.Name = name; this.Id = id; } 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 b061bc0c6..935adae02 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionDeclaration.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class FunctionDeclaration { /// - /// 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. 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("responseJsonSchema")] - public object? ResponseJsonSchema { 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). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("response")] + public global::Google.Gemini.Schema? Response { get; set; } /// /// Required. A brief description of the function. @@ -27,29 +33,23 @@ public sealed partial class FunctionDeclaration public object? ParametersJsonSchema { get; set; } /// - /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// 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("behavior")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] - public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { get; set; } /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public global::Google.Gemini.Schema? Response { get; set; } - - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] + public global::Google.Gemini.Schema? Parameters { get; set; } /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parameters")] - public global::Google.Gemini.Schema? Parameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("behavior")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.FunctionDeclarationBehaviorJsonConverter))] + public global::Google.Gemini.FunctionDeclarationBehavior? Behavior { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -60,8 +60,11 @@ public sealed partial class FunctionDeclaration /// /// Initializes a new instance of the class. /// - /// - /// 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. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Required. A brief description of the function. @@ -69,37 +72,34 @@ 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. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. - /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). - /// - /// - /// Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128. + /// + /// Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`. /// /// /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// + /// + /// Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public FunctionDeclaration( - object? responseJsonSchema, + string? name, + global::Google.Gemini.Schema? response, string? description, object? parametersJsonSchema, - global::Google.Gemini.FunctionDeclarationBehavior? behavior, - global::Google.Gemini.Schema? response, - string? name, - global::Google.Gemini.Schema? parameters) + object? responseJsonSchema, + global::Google.Gemini.Schema? parameters, + global::Google.Gemini.FunctionDeclarationBehavior? behavior) { - this.ResponseJsonSchema = responseJsonSchema; + this.Name = name; + this.Response = response; this.Description = description; this.ParametersJsonSchema = parametersJsonSchema; - this.Behavior = behavior; - this.Response = response; - this.Name = name; + this.ResponseJsonSchema = responseJsonSchema; this.Parameters = parameters; + this.Behavior = behavior; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs index 19bcffc80..08e28326a 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.FunctionResponse.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class FunctionResponse { /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("parts")] - public global::System.Collections.Generic.IList? Parts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] + public bool? WillContinue { get; set; } /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. @@ -20,6 +20,12 @@ public sealed partial class FunctionResponse [global::System.Text.Json.Serialization.JsonPropertyName("id")] public string? Id { get; set; } + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// 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. /// @@ -34,16 +40,10 @@ public sealed partial class FunctionResponse public global::Google.Gemini.FunctionResponseScheduling? Scheduling { get; set; } /// - /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. /// - [global::System.Text.Json.Serialization.JsonPropertyName("willContinue")] - public bool? WillContinue { get; set; } + [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 @@ -54,41 +54,41 @@ public sealed partial class FunctionResponse /// /// Initializes a new instance of the class. /// - /// - /// Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types. + /// + /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. /// /// /// Optional. The identifier of the function call this response is for. Populated by the client to match the corresponding function call `id`. /// + /// + /// Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. + /// /// /// 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. 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 name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128. - /// - /// - /// Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`. + /// + /// Optional. 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( - global::System.Collections.Generic.IList? parts, + bool? willContinue, string? id, + string? name, object? response, global::Google.Gemini.FunctionResponseScheduling? scheduling, - string? name, - bool? willContinue) + global::System.Collections.Generic.IList? parts) { - this.Parts = parts; + this.WillContinue = willContinue; this.Id = id; + this.Name = name; this.Response = response; this.Scheduling = scheduling; - this.Name = name; - this.WillContinue = willContinue; + 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 9fc94d8f8..6f16faf7a 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 @@ -16,23 +16,10 @@ public sealed partial class GenerateContentBatch public string? UpdateTime { get; set; } /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("priority")] - public string? Priority { get; set; } - - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } - - /// - /// Required. The user-defined name of this batch. + /// Configures the input to the batch request. /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] + public global::Google.Gemini.InputConfig? InputConfig { get; set; } /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. @@ -40,12 +27,6 @@ public sealed partial class GenerateContentBatch [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { get; set; } - /// - /// Configures the input to the batch request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputConfig")] - public global::Google.Gemini.InputConfig? InputConfig { get; set; } - /// /// Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.
/// Included only in responses @@ -54,10 +35,12 @@ public sealed partial class GenerateContentBatch public string? Name { get; set; } /// - /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// Output only. The state of the batch.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("output")] - public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("state")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] + public global::Google.Gemini.GenerateContentBatchState? State { get; set; } /// /// Output only. The time at which the batch processing completed.
@@ -66,6 +49,12 @@ public sealed partial class GenerateContentBatch [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; } + /// /// Stats about the batch. /// @@ -73,12 +62,23 @@ public sealed partial class GenerateContentBatch public global::Google.Gemini.BatchStats? BatchStats { get; set; } /// - /// Output only. The state of the batch.
+ /// Output only. The time at which the batch was created.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("state")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentBatchStateJsonConverter))] - public global::Google.Gemini.GenerateContentBatchState? State { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] + public string? CreateTime { get; set; } + + /// + /// Required. The user-defined name of this batch. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("output")] + public global::Google.Gemini.GenerateContentBatchOutput? Output { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -93,67 +93,67 @@ public sealed partial class GenerateContentBatch /// Output only. The time at which the batch was last updated.
/// Included only in responses /// - /// - /// Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0. - /// - /// - /// Output only. The time at which the batch was created.
- /// Included only in responses - /// - /// - /// 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}`. /// - /// - /// Configures the input to the batch request. - /// /// /// 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 `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// + /// Output only. The state of the batch.
+ /// 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. + /// /// /// Stats about the batch. /// - /// - /// Output only. The state of the batch.
+ /// + /// Output only. The time at which the batch was created.
/// Included only in responses /// + /// + /// Required. The user-defined name of this batch. + /// + /// + /// The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentBatch( string? updateTime, - string? priority, - string? createTime, - string? displayName, - string? model, global::Google.Gemini.InputConfig? inputConfig, + string? model, string? name, - global::Google.Gemini.GenerateContentBatchOutput? output, + global::Google.Gemini.GenerateContentBatchState? state, string? endTime, + string? priority, global::Google.Gemini.BatchStats? batchStats, - global::Google.Gemini.GenerateContentBatchState? state) + string? createTime, + string? displayName, + global::Google.Gemini.GenerateContentBatchOutput? output) { this.UpdateTime = updateTime; - this.Priority = priority; - this.CreateTime = createTime; - this.DisplayName = displayName; - this.Model = model; this.InputConfig = inputConfig; + this.Model = model; this.Name = name; - this.Output = output; + this.State = state; this.EndTime = endTime; + this.Priority = priority; this.BatchStats = batchStats; - this.State = state; + this.CreateTime = createTime; + this.DisplayName = displayName; + this.Output = output; } /// 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 34444a6f9..dfb79b979 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 @@ -14,49 +14,42 @@ public sealed partial class GenerateContentRequest [global::System.Text.Json.Serialization.JsonPropertyName("model")] public string? Model { get; set; } - /// - /// Optional. The service tier of the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] - public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } - - /// - /// 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; } - - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] - public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } - /// /// 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; } - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tools")] - public global::System.Collections.Generic.IList? Tools { get; set; } - /// /// 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; } + /// + /// 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; } + + /// + /// 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("contents")] + public global::System.Collections.Generic.IList? Contents { get; set; } + /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// [global::System.Text.Json.Serialization.JsonPropertyName("systemInstruction")] public global::Google.Gemini.Content? SystemInstruction { get; set; } + /// + /// The Tool configuration containing parameters for specifying `Tool` use in the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolConfig")] + public global::Google.Gemini.ToolConfig? ToolConfig { get; set; } + /// /// 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. /// @@ -64,10 +57,17 @@ public sealed partial class GenerateContentRequest public global::System.Collections.Generic.IList? SafetySettings { get; set; } /// - /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. /// - [global::System.Text.Json.Serialization.JsonPropertyName("contents")] - public global::System.Collections.Generic.IList? Contents { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tools")] + public global::System.Collections.Generic.IList? Tools { get; set; } + + /// + /// Optional. The service tier of the request. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("serviceTier")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerateContentRequestServiceTierJsonConverter))] + public global::Google.Gemini.GenerateContentRequestServiceTier? ServiceTier { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -81,58 +81,58 @@ public sealed partial class GenerateContentRequest /// /// Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`. /// - /// - /// Optional. The service tier of the request. - /// - /// - /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. - /// - /// - /// The Tool configuration containing parameters for specifying `Tool` use in the request. - /// /// /// Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config. /// - /// - /// Optional. A list of `Tools` the `Model` may use to generate the next response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the `Model`. Supported `Tool`s are `Function` and `code_execution`. Refer to the [Function calling](https://ai.google.dev/gemini-api/docs/function-calling) and the [Code execution](https://ai.google.dev/gemini-api/docs/code-execution) guides to learn more. - /// /// /// Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}` /// + /// + /// Configuration options for model generation and outputs. Not all parameters are configurable for every model. + /// + /// + /// Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request. + /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `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. /// - /// - /// 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. + /// + /// + /// Optional. The service tier of the request. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentRequest( string? model, - global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier, - global::Google.Gemini.GenerationConfig? generationConfig, - global::Google.Gemini.ToolConfig? toolConfig, bool? store, - global::System.Collections.Generic.IList? tools, string? cachedContent, + global::Google.Gemini.GenerationConfig? generationConfig, + global::System.Collections.Generic.IList? contents, global::Google.Gemini.Content? systemInstruction, + global::Google.Gemini.ToolConfig? toolConfig, global::System.Collections.Generic.IList? safetySettings, - global::System.Collections.Generic.IList? contents) + global::System.Collections.Generic.IList? tools, + global::Google.Gemini.GenerateContentRequestServiceTier? serviceTier) { this.Model = model; - this.ServiceTier = serviceTier; - this.GenerationConfig = generationConfig; - this.ToolConfig = toolConfig; this.Store = store; - this.Tools = tools; this.CachedContent = cachedContent; + this.GenerationConfig = generationConfig; + this.Contents = contents; this.SystemInstruction = systemInstruction; + this.ToolConfig = toolConfig; this.SafetySettings = safetySettings; - this.Contents = contents; + this.Tools = tools; + this.ServiceTier = serviceTier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs index 246306521..117c48683 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerateContentResponse.g.cs @@ -9,10 +9,11 @@ namespace Google.Gemini public sealed partial class GenerateContentResponse { /// - /// Metadata on the generation request's token usage. + /// Output only. The model version used to generate the response.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] - public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] + public string? ModelVersion { get; set; } /// /// Output only. response_id is used to identify each response.
@@ -22,10 +23,10 @@ public sealed partial class GenerateContentResponse public string? ResponseId { get; set; } /// - /// Candidate responses from the model. + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// - [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] - public global::System.Collections.Generic.IList? Candidates { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] + public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. @@ -34,17 +35,16 @@ public sealed partial class GenerateContentResponse public global::Google.Gemini.PromptFeedback? PromptFeedback { get; set; } /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// Candidate responses from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelVersion")] - public string? ModelVersion { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("candidates")] + public global::System.Collections.Generic.IList? Candidates { get; set; } /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// Metadata on the generation request's token usage. /// - [global::System.Text.Json.Serialization.JsonPropertyName("modelStatus")] - public global::Google.Gemini.ModelStatus? ModelStatus { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("usageMetadata")] + public global::Google.Gemini.UsageMetadata? UsageMetadata { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -55,43 +55,43 @@ public sealed partial class GenerateContentResponse /// /// Initializes a new instance of the class. /// - /// - /// Metadata on the generation request's token usage. + /// + /// 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. + /// + /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. /// /// /// A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`. /// - /// - /// Output only. The model version used to generate the response.
- /// Included only in responses + /// + /// Candidate responses from the model. /// - /// - /// The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable. + /// + /// Metadata on the generation request's token usage. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerateContentResponse( - global::Google.Gemini.UsageMetadata? usageMetadata, + string? modelVersion, string? responseId, - global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.ModelStatus? modelStatus, global::Google.Gemini.PromptFeedback? promptFeedback, - string? modelVersion, - global::Google.Gemini.ModelStatus? modelStatus) + global::System.Collections.Generic.IList? candidates, + global::Google.Gemini.UsageMetadata? usageMetadata) { - this.UsageMetadata = usageMetadata; - this.ResponseId = responseId; - this.Candidates = candidates; - this.PromptFeedback = promptFeedback; this.ModelVersion = modelVersion; + this.ResponseId = responseId; this.ModelStatus = modelStatus; + this.PromptFeedback = promptFeedback; + this.Candidates = candidates; + this.UsageMetadata = usageMetadata; } /// 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 f270d8490..9f40d539e 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 +8,18 @@ namespace Google.Gemini /// public sealed partial class GeneratedFile { - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("name")] - public string? Name { get; set; } - /// /// MIME type of the generatedFile. /// [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -43,12 +43,12 @@ public sealed partial class GeneratedFile /// /// Initializes a new instance of the class. /// - /// - /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` - /// /// /// MIME type of the generatedFile. /// + /// + /// Identifier. The name of the generated file. Example: `generatedFiles/abc-123` + /// /// /// Output only. The state of the GeneratedFile.
/// Included only in responses @@ -60,13 +60,13 @@ public sealed partial class GeneratedFile [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GeneratedFile( - string? name, string? mimeType, + string? name, global::Google.Gemini.GeneratedFileState? state, global::Google.Gemini.Status? error) { - this.Name = name; this.MimeType = mimeType; + this.Name = name; this.State = state; this.Error = error; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs index 58464b0d3..7bb92621b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GenerationConfig.g.cs @@ -9,23 +9,10 @@ namespace Google.Gemini public sealed partial class GenerationConfig { /// - /// Optional. If specified, the media resolution specified will be used. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("mediaResolution")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.GenerationConfigMediaResolutionJsonConverter))] - public global::Google.Gemini.GenerationConfigMediaResolution? MediaResolution { get; set; } - - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] - public global::System.Collections.Generic.IList? ResponseModalities { get; set; } - - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] - public string? ResponseMimeType { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("seed")] + public int? Seed { get; set; } /// /// Optional. If true, export the logprobs results in response. @@ -34,10 +21,10 @@ public sealed partial class GenerationConfig public bool? ResponseLogprobs { get; set; } /// - /// Config for image generation features. + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] - public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] + public global::Google.Gemini.Schema? ResponseSchema { 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) @@ -46,52 +33,53 @@ public sealed partial class GenerationConfig public int? CandidateCount { get; set; } /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] - public int? MaxOutputTokens { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] + public global::System.Collections.Generic.IList? StopSequences { 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. If specified, the media resolution specified will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("responseSchema")] - public global::Google.Gemini.Schema? ResponseSchema { 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; } /// - /// Config for thinking features. + /// 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("thinkingConfig")] - public global::Google.Gemini.ThinkingConfig? ThinkingConfig { 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. 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("presencePenalty")] - public float? PresencePenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// Config for thinking features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("stopSequences")] - public global::System.Collections.Generic.IList? StopSequences { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingConfig")] + public global::Google.Gemini.ThinkingConfig? ThinkingConfig { get; set; } /// - /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. + /// Optional. 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("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] + public int? Logprobs { get; set; } /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. /// - [global::System.Text.Json.Serialization.JsonPropertyName("seed")] - public int? Seed { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxOutputTokens")] + public int? MaxOutputTokens { 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. + /// Config for image generation features. /// - [global::System.Text.Json.Serialization.JsonPropertyName("frequencyPenalty")] - public float? FrequencyPenalty { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("imageConfig")] + public global::Google.Gemini.ImageConfig? ImageConfig { get; set; } /// /// Optional. Enables enhanced civic answers. It may not be available for all models. @@ -100,34 +88,46 @@ public sealed partial class GenerationConfig public bool? EnableEnhancedCivicAnswers { get; set; } /// - /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// 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("responseJsonSchema")] - public object? ResponseJsonSchema { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// - /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// Config for speech generation and transcription. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] + public global::Google.Gemini.SpeechConfig? SpeechConfig { 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. 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("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseMimeType")] + public string? ResponseMimeType { get; set; } /// - /// Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. + /// Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary. /// - [global::System.Text.Json.Serialization.JsonPropertyName("logprobs")] - public int? Logprobs { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("presencePenalty")] + public float? PresencePenalty { get; set; } /// - /// Config for speech generation and transcription. + /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. /// - [global::System.Text.Json.Serialization.JsonPropertyName("speechConfig")] - public global::Google.Gemini.SpeechConfig? SpeechConfig { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("responseModalities")] + public global::System.Collections.Generic.IList? ResponseModalities { get; set; } + + /// + /// Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } + + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("responseJsonSchema")] + public object? ResponseJsonSchema { 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. If specified, the media resolution specified will be used. - /// - /// - /// Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text. - /// - /// - /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. + /// + /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. /// /// /// Optional. If true, export the logprobs results in response. /// - /// - /// Config for image generation features. + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// /// /// Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family) /// - /// - /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. 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. + /// + /// + /// Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// /// /// Config for thinking features. /// - /// - /// Optional. 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. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. /// - /// - /// Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response. + /// + /// Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function. + /// + /// + /// Config for image generation features. + /// + /// + /// Optional. Enables enhanced civic answers. It may not be available for all models. /// /// /// Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0]. /// - /// - /// Optional. Seed used in decoding. If not set, the request uses a randomly generated seed. + /// + /// Config for speech generation and transcription. /// - /// - /// Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit. + /// + /// Optional. MIME type of the generated candidate text. Supported MIME types are: `text/plain`: (default) Text output. `application/json`: JSON response in the response candidates. `text/x.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https://ai.google.dev/gemini-api/docs/prompting_with_media#plain_text_formats) for a list of all supported text MIME types. /// - /// - /// Optional. Enables enhanced civic answers. It may not be available for all models. + /// + /// Optional. 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. 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. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests. /// - /// - /// Optional. The maximum 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. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20]. - /// - /// - /// Config for speech generation and transcription. + /// + /// Optional. An internal detail. Use `responseJsonSchema` rather than this field. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GenerationConfig( - global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, - global::System.Collections.Generic.IList? responseModalities, - string? responseMimeType, + int? seed, bool? responseLogprobs, - global::Google.Gemini.ImageConfig? imageConfig, - int? candidateCount, - int? maxOutputTokens, global::Google.Gemini.Schema? responseSchema, - global::Google.Gemini.ThinkingConfig? thinkingConfig, - float? presencePenalty, + int? candidateCount, global::System.Collections.Generic.IList? stopSequences, - float? temperature, - int? seed, + global::Google.Gemini.GenerationConfigMediaResolution? mediaResolution, float? frequencyPenalty, - bool? enableEnhancedCivicAnswers, - object? responseJsonSchema, - int? topK, float? topP, + global::Google.Gemini.ThinkingConfig? thinkingConfig, int? logprobs, - global::Google.Gemini.SpeechConfig? speechConfig) + int? maxOutputTokens, + global::Google.Gemini.ImageConfig? imageConfig, + bool? enableEnhancedCivicAnswers, + float? temperature, + global::Google.Gemini.SpeechConfig? speechConfig, + string? responseMimeType, + float? presencePenalty, + global::System.Collections.Generic.IList? responseModalities, + int? topK, + object? responseJsonSchema) { - this.MediaResolution = mediaResolution; - this.ResponseModalities = responseModalities; - this.ResponseMimeType = responseMimeType; + this.Seed = seed; this.ResponseLogprobs = responseLogprobs; - this.ImageConfig = imageConfig; - this.CandidateCount = candidateCount; - this.MaxOutputTokens = maxOutputTokens; this.ResponseSchema = responseSchema; - this.ThinkingConfig = thinkingConfig; - this.PresencePenalty = presencePenalty; + this.CandidateCount = candidateCount; this.StopSequences = stopSequences; - this.Temperature = temperature; - this.Seed = seed; + this.MediaResolution = mediaResolution; this.FrequencyPenalty = frequencyPenalty; - this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; - this.ResponseJsonSchema = responseJsonSchema; - this.TopK = topK; this.TopP = topP; + this.ThinkingConfig = thinkingConfig; this.Logprobs = logprobs; + this.MaxOutputTokens = maxOutputTokens; + this.ImageConfig = imageConfig; + this.EnableEnhancedCivicAnswers = enableEnhancedCivicAnswers; + this.Temperature = temperature; this.SpeechConfig = speechConfig; + this.ResponseMimeType = responseMimeType; + this.PresencePenalty = presencePenalty; + this.ResponseModalities = responseModalities; + this.TopK = topK; + this.ResponseJsonSchema = responseJsonSchema; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaGroundingSupport.g.cs index 480a15ce9..a0bc26056 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 +8,13 @@ namespace Google.Gemini /// public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport { + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] + public global::System.Collections.Generic.IList? RenderedParts { get; set; } + /// /// Segment of the content. /// @@ -20,13 +27,6 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport [global::System.Text.Json.Serialization.JsonPropertyName("confidenceScores")] public global::System.Collections.Generic.IList? ConfidenceScores { get; set; } - /// - /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("renderedParts")] - public global::System.Collections.Generic.IList? RenderedParts { get; set; } - /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// @@ -42,16 +42,16 @@ public sealed partial class GoogleAiGenerativelanguageV1betaGroundingSupport /// /// Initializes a new instance of the class. /// + /// + /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
+ /// Included only in responses + /// /// /// Segment of the content. /// /// /// Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices. /// - /// - /// Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.
- /// Included only in responses - /// /// /// Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order). /// @@ -59,14 +59,14 @@ 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? confidenceScores, - global::System.Collections.Generic.IList? renderedParts, global::System.Collections.Generic.IList? groundingChunkIndices) { + this.RenderedParts = renderedParts; this.Segment = segment; this.ConfidenceScores = confidenceScores; - this.RenderedParts = renderedParts; this.GroundingChunkIndices = groundingChunkIndices; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs index 2ff0b2c8e..06a377fbc 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GoogleAiGenerativelanguageV1betaSegment.g.cs @@ -9,16 +9,10 @@ namespace Google.Gemini public sealed partial class GoogleAiGenerativelanguageV1betaSegment { /// - /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] - public int? EndIndex { get; set; } - - /// - /// The text corresponding to the segment from the response. + /// The index of a Part object within its parent Content object. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] + public int? PartIndex { get; set; } /// /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. @@ -27,10 +21,16 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment public int? StartIndex { get; set; } /// - /// The index of a Part object within its parent Content object. + /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// - [global::System.Text.Json.Serialization.JsonPropertyName("partIndex")] - public int? PartIndex { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("endIndex")] + public int? EndIndex { get; set; } + + /// + /// The text corresponding to the segment from the response. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class GoogleAiGenerativelanguageV1betaSegment /// /// Initializes a new instance of the class. /// + /// + /// The index of a Part object within its parent Content object. + /// + /// + /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. + /// /// /// End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero. /// /// /// The text corresponding to the segment from the response. /// - /// - /// Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero. - /// - /// - /// The index of a Part object within its parent Content object. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GoogleAiGenerativelanguageV1betaSegment( - int? endIndex, - string? text, + int? partIndex, int? startIndex, - int? partIndex) + int? endIndex, + string? text) { + this.PartIndex = partIndex; + this.StartIndex = startIndex; this.EndIndex = endIndex; this.Text = text; - this.StartIndex = startIndex; - this.PartIndex = partIndex; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs index 26223c8fd..fadfe83a1 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingAttribution.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class GroundingAttribution { - /// - /// Identifier for the source contributing to this attribution. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] - public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } - /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// [global::System.Text.Json.Serialization.JsonPropertyName("content")] public global::Google.Gemini.Content? Content { get; set; } + /// + /// Identifier for the source contributing to this attribution. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("sourceId")] + public global::Google.Gemini.AttributionSourceId? SourceId { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class GroundingAttribution /// /// Initializes a new instance of the class. /// - /// - /// Identifier for the source contributing to this attribution. - /// /// /// The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn. /// + /// + /// Identifier for the source contributing to this attribution. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingAttribution( - global::Google.Gemini.AttributionSourceId? sourceId, - global::Google.Gemini.Content? content) + global::Google.Gemini.Content? content, + global::Google.Gemini.AttributionSourceId? sourceId) { - this.SourceId = sourceId; this.Content = content; + this.SourceId = sourceId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs index f33a82f52..ac519a572 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.GroundingChunk.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class GroundingChunk { /// - /// Chunk from image search. + /// Chunk from the web. /// - [global::System.Text.Json.Serialization.JsonPropertyName("image")] - public global::Google.Gemini.Image? Image { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("web")] + public global::Google.Gemini.Web? Web { get; set; } /// /// Chunk from context retrieved by the file search tool. @@ -21,16 +21,16 @@ public sealed partial class GroundingChunk public global::Google.Gemini.RetrievedContext? RetrievedContext { get; set; } /// - /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. + /// Chunk from image search. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maps")] - public global::Google.Gemini.Maps? Maps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("image")] + public global::Google.Gemini.Image? Image { get; set; } /// - /// Chunk from the web. + /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("web")] - public global::Google.Gemini.Web? Web { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maps")] + public global::Google.Gemini.Maps? Maps { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class GroundingChunk /// /// Initializes a new instance of the class. /// - /// - /// Chunk from image search. + /// + /// Chunk from the web. /// /// /// Chunk from context retrieved by the file search tool. /// + /// + /// Chunk from image search. + /// /// /// A grounding chunk from Google Maps. A Maps chunk corresponds to a single place. /// - /// - /// Chunk from the web. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingChunk( - global::Google.Gemini.Image? image, + global::Google.Gemini.Web? web, global::Google.Gemini.RetrievedContext? retrievedContext, - global::Google.Gemini.Maps? maps, - global::Google.Gemini.Web? web) + global::Google.Gemini.Image? image, + global::Google.Gemini.Maps? maps) { - this.Image = image; + this.Web = web; this.RetrievedContext = retrievedContext; + this.Image = image; this.Maps = maps; - this.Web = web; } /// 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 7144e6105..3cbf9abe8 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 { /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// Metadata related to retrieval in the grounding flow. /// - [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] - public global::System.Collections.Generic.IList? GroundingChunks { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] + public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } /// /// Web search queries for the following-up web search. @@ -21,22 +21,16 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? WebSearchQueries { get; set; } /// - /// Google search entry point. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] - public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } - - /// - /// List of grounding support. + /// 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("groundingSupports")] - public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] + public string? GoogleMapsWidgetContextToken { get; set; } /// - /// Metadata related to retrieval in the grounding flow. + /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalMetadata")] - public global::Google.Gemini.RetrievalMetadata? RetrievalMetadata { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingChunks")] + public global::System.Collections.Generic.IList? GroundingChunks { get; set; } /// /// Image search queries used for grounding. @@ -45,10 +39,16 @@ public sealed partial class GroundingMetadata public global::System.Collections.Generic.IList? ImageSearchQueries { get; set; } /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// List of grounding support. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMapsWidgetContextToken")] - public string? GoogleMapsWidgetContextToken { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("groundingSupports")] + public global::System.Collections.Generic.IList? GroundingSupports { get; set; } + + /// + /// Google search entry point. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("searchEntryPoint")] + public global::Google.Gemini.SearchEntryPoint? SearchEntryPoint { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -59,46 +59,46 @@ public sealed partial class GroundingMetadata /// /// Initializes a new instance of the class. /// - /// - /// List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses. + /// + /// Metadata related to retrieval in the grounding flow. /// /// /// Web search queries for the following-up web search. /// - /// - /// Google search entry point. - /// - /// - /// List of grounding support. + /// + /// 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 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. /// - /// - /// Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled. + /// + /// List of grounding support. + /// + /// + /// Google search entry point. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingMetadata( - global::System.Collections.Generic.IList? groundingChunks, - global::System.Collections.Generic.IList? webSearchQueries, - global::Google.Gemini.SearchEntryPoint? searchEntryPoint, - global::System.Collections.Generic.IList? groundingSupports, global::Google.Gemini.RetrievalMetadata? retrievalMetadata, + global::System.Collections.Generic.IList? webSearchQueries, + string? googleMapsWidgetContextToken, + global::System.Collections.Generic.IList? groundingChunks, global::System.Collections.Generic.IList? imageSearchQueries, - string? googleMapsWidgetContextToken) + global::System.Collections.Generic.IList? groundingSupports, + global::Google.Gemini.SearchEntryPoint? searchEntryPoint) { - this.GroundingChunks = groundingChunks; - this.WebSearchQueries = webSearchQueries; - this.SearchEntryPoint = searchEntryPoint; - this.GroundingSupports = groundingSupports; this.RetrievalMetadata = retrievalMetadata; - this.ImageSearchQueries = imageSearchQueries; + this.WebSearchQueries = webSearchQueries; this.GoogleMapsWidgetContextToken = googleMapsWidgetContextToken; + this.GroundingChunks = groundingChunks; + this.ImageSearchQueries = imageSearchQueries; + this.GroundingSupports = groundingSupports; + this.SearchEntryPoint = searchEntryPoint; } /// 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 29ecf6d1f..6d7ea670d 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. 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; } /// - /// 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; } /// /// 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. 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 /// + /// + /// Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public GroundingPassageId( - string? passageId, - int? partIndex) + int? partIndex, + string? passageId) { - this.PassageId = passageId; this.PartIndex = partIndex; + this.PassageId = passageId; } /// 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 63f644120..a8ada957d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Hyperparameters.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Hyperparameters { /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// - [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] - public int? BatchSize { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] + public float? LearningRateMultiplier { get; set; } /// /// Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used. @@ -21,16 +21,16 @@ public sealed partial class Hyperparameters public int? EpochCount { get; set; } /// - /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. + /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] - public float? LearningRate { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("batchSize")] + public int? BatchSize { get; set; } /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. + /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - [global::System.Text.Json.Serialization.JsonPropertyName("learningRateMultiplier")] - public float? LearningRateMultiplier { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("learningRate")] + public float? LearningRate { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -41,31 +41,31 @@ public sealed partial class Hyperparameters /// /// Initializes a new instance of the class. /// - /// - /// Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples. + /// + /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. /// /// /// Immutable. The 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. + /// /// /// Optional. Immutable. The learning rate hyperparameter for tuning. If not set, a default of 0.001 or 0.0002 will be calculated based on the number of training examples. /// - /// - /// Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Hyperparameters( - int? batchSize, + float? learningRateMultiplier, int? epochCount, - float? learningRate, - float? learningRateMultiplier) + int? batchSize, + float? learningRate) { - this.BatchSize = batchSize; + this.LearningRateMultiplier = learningRateMultiplier; this.EpochCount = epochCount; + this.BatchSize = batchSize; this.LearningRate = learningRate; - this.LearningRateMultiplier = learningRateMultiplier; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs index 84e2562f8..5ed82a68d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImageConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ImageConfig { - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] - public string? AspectRatio { get; set; } - /// /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. /// [global::System.Text.Json.Serialization.JsonPropertyName("imageSize")] public string? ImageSize { get; set; } + /// + /// 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. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("aspectRatio")] + public string? AspectRatio { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ImageConfig /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// /// /// Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`. /// + /// + /// 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. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImageConfig( - string? aspectRatio, - string? imageSize) + string? imageSize, + string? aspectRatio) { - this.AspectRatio = aspectRatio; this.ImageSize = imageSize; + this.AspectRatio = aspectRatio; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs index 16ecdeeba..d42bb5341 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ImportFileRequest.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ImportFileRequest { + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -20,12 +26,6 @@ public sealed partial class ImportFileRequest [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ImportFileRequest /// /// Initializes a new instance of the class. /// + /// + /// Required. The name of the `File` to import. Example: `files/abc-123` + /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Custom metadata to be associated with the file. /// - /// - /// Required. The name of the `File` to import. Example: `files/abc-123` - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ImportFileRequest( + string? fileName, global::Google.Gemini.ChunkingConfig? chunkingConfig, - global::System.Collections.Generic.IList? customMetadata, - string? fileName) + global::System.Collections.Generic.IList? customMetadata) { + this.FileName = fileName; this.ChunkingConfig = chunkingConfig; this.CustomMetadata = customMetadata; - this.FileName = fileName; } /// 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 d67554e5e..4edfdb2b4 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 @@ -8,13 +8,6 @@ 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). /// @@ -27,6 +20,13 @@ 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) + global::Google.Gemini.GenerateContentResponse? response, + object? metadata) { - this.Metadata = metadata; this.Error = error; this.Response = response; + this.Metadata = metadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs index 01a06fc30..c37f2158f 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class InputConfig { - /// - /// The name of the `File` containing the input requests. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] - public string? FileName { get; set; } - /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// [global::System.Text.Json.Serialization.JsonPropertyName("requests")] public global::Google.Gemini.InlinedRequests? Requests { get; set; } + /// + /// The name of the `File` containing the input requests. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileName")] + public string? FileName { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class InputConfig /// /// Initializes a new instance of the class. /// - /// - /// The name of the `File` containing the input requests. - /// /// /// The requests to be processed in the batch if provided as part of the batch creation request. /// + /// + /// The name of the `File` containing the input requests. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public InputConfig( - string? fileName, - global::Google.Gemini.InlinedRequests? requests) + global::Google.Gemini.InlinedRequests? requests, + string? fileName) { - this.FileName = fileName; this.Requests = requests; + this.FileName = fileName; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.InputEmbedContentConfig.g.cs index d91125c9f..acc98cfe5 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.Interval.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs index d5800e1d6..0ba65b3e8 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Interval.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class Interval { - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } - /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// [global::System.Text.Json.Serialization.JsonPropertyName("endTime")] public string? EndTime { get; set; } + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class Interval /// /// Initializes a new instance of the class. /// - /// - /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. - /// /// /// Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end. /// + /// + /// Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Interval( - string? startTime, - string? endTime) + string? endTime, + string? startTime) { - this.StartTime = startTime; this.EndTime = endTime; + this.StartTime = startTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs index d54084716..8f9cc3b2c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LatLng.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LatLng { - /// - /// The latitude in degrees. It must be in the range [-90.0, +90.0]. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] - public double? Latitude { get; set; } - /// /// The longitude in degrees. It must be in the range [-180.0, +180.0]. /// [global::System.Text.Json.Serialization.JsonPropertyName("longitude")] public double? Longitude { get; set; } + /// + /// The latitude in degrees. It must be in the range [-90.0, +90.0]. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("latitude")] + public double? Latitude { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class LatLng /// /// Initializes a new instance of the class. /// - /// - /// The latitude in degrees. It must be in the range [-90.0, +90.0]. - /// /// /// The longitude in degrees. It must be in the range [-180.0, +180.0]. /// + /// + /// The latitude in degrees. It must be in the range [-90.0, +90.0]. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LatLng( - double? latitude, - double? longitude) + double? longitude, + double? latitude) { - this.Latitude = latitude; this.Longitude = longitude; + this.Latitude = latitude; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs index 6b112b840..d8960e0af 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListCachedContentsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListCachedContentsResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// List of cached contents. /// [global::System.Text.Json.Serialization.JsonPropertyName("cachedContents")] public global::System.Collections.Generic.IList? CachedContents { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListCachedContentsResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. - /// /// /// List of cached contents. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListCachedContentsResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? cachedContents) + global::System.Collections.Generic.IList? cachedContents, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.CachedContents = cachedContents; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs index b64b02ebd..841ed8850 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListFileSearchStoresResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListFileSearchStoresResponse { - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// The returned rag_stores. /// [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStores")] public global::System.Collections.Generic.IList? FileSearchStores { get; set; } + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListFileSearchStoresResponse /// /// Initializes a new instance of the class. /// - /// - /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. - /// /// /// The returned rag_stores. /// + /// + /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListFileSearchStoresResponse( - string? nextPageToken, - global::System.Collections.Generic.IList? fileSearchStores) + global::System.Collections.Generic.IList? fileSearchStores, + string? nextPageToken) { - this.NextPageToken = nextPageToken; this.FileSearchStores = fileSearchStores; + this.NextPageToken = nextPageToken; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs index 040a93da8..1c3748085 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListModelsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListModelsResponse { - /// - /// The returned Models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("models")] - public global::System.Collections.Generic.IList? Models { get; set; } - /// /// A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. /// [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] public string? NextPageToken { get; set; } + /// + /// The returned Models. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("models")] + public global::System.Collections.Generic.IList? Models { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class ListModelsResponse /// /// Initializes a new instance of the class. /// - /// - /// 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 ListModelsResponse( - global::System.Collections.Generic.IList? models, - string? nextPageToken) + string? nextPageToken, + global::System.Collections.Generic.IList? models) { - this.Models = models; this.NextPageToken = nextPageToken; + this.Models = models; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs index ade5a8ecf..35553f7f9 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ListOperationsResponse.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class ListOperationsResponse { - /// - /// The standard List next-page token. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] - public string? NextPageToken { get; set; } - /// /// A list of operations that matches the specified filter in the request. /// [global::System.Text.Json.Serialization.JsonPropertyName("operations")] public global::System.Collections.Generic.IList? Operations { get; set; } + /// + /// The standard List next-page token. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("nextPageToken")] + public string? NextPageToken { get; set; } + /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// @@ -35,12 +35,12 @@ public sealed partial class ListOperationsResponse /// /// Initializes a new instance of the class. /// - /// - /// The standard List next-page token. - /// /// /// A list of operations that matches the specified filter in the request. /// + /// + /// The standard List next-page token. + /// /// /// Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations. /// @@ -48,12 +48,12 @@ public sealed partial class ListOperationsResponse [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ListOperationsResponse( - string? nextPageToken, global::System.Collections.Generic.IList? operations, + string? nextPageToken, global::System.Collections.Generic.IList? unreachable) { - this.NextPageToken = nextPageToken; this.Operations = operations; + this.NextPageToken = nextPageToken; this.Unreachable = unreachable; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs index 296ff44e1..d717cd002 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResult.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class LogprobsResult { - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] - public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } - /// /// Sum of log probabilities for all tokens. /// [global::System.Text.Json.Serialization.JsonPropertyName("logProbabilitySum")] public float? LogProbabilitySum { get; set; } + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("chosenCandidates")] + public global::System.Collections.Generic.IList? ChosenCandidates { get; set; } + /// /// Length = total number of decoding steps. /// @@ -35,12 +35,12 @@ public sealed partial class LogprobsResult /// /// Initializes a new instance of the class. /// - /// - /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. - /// /// /// Sum of log probabilities for all tokens. /// + /// + /// Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. + /// /// /// Length = total number of decoding steps. /// @@ -48,12 +48,12 @@ public sealed partial class LogprobsResult [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResult( - global::System.Collections.Generic.IList? chosenCandidates, float? logProbabilitySum, + global::System.Collections.Generic.IList? chosenCandidates, global::System.Collections.Generic.IList? topCandidates) { - this.ChosenCandidates = chosenCandidates; this.LogProbabilitySum = logProbabilitySum; + this.ChosenCandidates = chosenCandidates; this.TopCandidates = topCandidates; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs index 4bd42faa4..5c9ddd1b0 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.LogprobsResultCandidate.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class LogprobsResultCandidate { /// - /// The candidate’s token id value. + /// The candidate’s token string value. /// - [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] - public int? TokenId { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("token")] + public string? Token { get; set; } /// /// The candidate's log probability. @@ -21,10 +21,10 @@ public sealed partial class LogprobsResultCandidate public float? LogProbability { get; set; } /// - /// The candidate’s token string value. + /// The candidate’s token id value. /// - [global::System.Text.Json.Serialization.JsonPropertyName("token")] - public string? Token { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tokenId")] + public int? TokenId { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -35,26 +35,26 @@ public sealed partial class LogprobsResultCandidate /// /// Initializes a new instance of the class. /// - /// - /// The candidate’s token id value. + /// + /// The candidate’s token string value. /// /// /// The candidate's log probability. /// - /// - /// The candidate’s token string value. + /// + /// The candidate’s token id value. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public LogprobsResultCandidate( - int? tokenId, + string? token, float? logProbability, - string? token) + int? tokenId) { - this.TokenId = tokenId; - this.LogProbability = logProbability; this.Token = token; + this.LogProbability = logProbability; + this.TokenId = tokenId; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs index 37f0a2bab..bca418340 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Maps.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class Maps { /// - /// URI reference of the place. + /// Title of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("uri")] - public string? Uri { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. @@ -21,22 +21,22 @@ public sealed partial class Maps public string? PlaceId { get; set; } /// - /// Title of the place. + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] + public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } /// - /// Text description of the place answer. + /// URI reference of the place. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("uri")] + public string? Uri { get; set; } /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// Text description of the place answer. /// - [global::System.Text.Json.Serialization.JsonPropertyName("placeAnswerSources")] - public global::Google.Gemini.PlaceAnswerSources? PlaceAnswerSources { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class Maps /// /// Initializes a new instance of the class. /// - /// - /// URI reference of the place. + /// + /// Title of the place. /// /// /// The ID of the place, in `places/{place_id}` format. A user can use this ID to look up that place. /// - /// - /// Title of the place. + /// + /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. + /// + /// + /// URI reference of the place. /// /// /// Text description of the place answer. /// - /// - /// Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: "does Bar Foo have Wifi" or "is Foo Bar wheelchair accessible?"). Currently we only support review snippets as sources. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Maps( - string? uri, - string? placeId, string? title, - string? text, - global::Google.Gemini.PlaceAnswerSources? placeAnswerSources) + string? placeId, + global::Google.Gemini.PlaceAnswerSources? placeAnswerSources, + string? uri, + string? text) { - this.Uri = uri; - this.PlaceId = placeId; this.Title = title; - this.Text = text; + this.PlaceId = placeId; this.PlaceAnswerSources = placeAnswerSources; + this.Uri = uri; + this.Text = text; } /// 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 41d99a984..91820a605 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Model.g.cs @@ -9,22 +9,10 @@ namespace Google.Gemini public sealed partial class Model { /// - /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topK")] - public int? TopK { get; set; } - - /// - /// Whether the model supports thinking. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] - public bool? Thinking { 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. + /// Maximum number of input tokens allowed for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] + public int? InputTokenLimit { 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` @@ -33,16 +21,16 @@ public sealed partial class Model public string? Name { get; set; } /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - [global::System.Text.Json.Serialization.JsonPropertyName("version")] - public string? Version { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topK")] + public int? TopK { get; set; } /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] - public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// 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. @@ -57,16 +45,22 @@ public sealed partial class Model public string? Description { get; set; } /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// Maximum number of output tokens available for this model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] + public int? OutputTokenLimit { get; set; } /// - /// The maximum temperature this model can use. + /// 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("maxTemperature")] - public float? MaxTemperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } + + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + [global::System.Text.Json.Serialization.JsonPropertyName("version")] + public string? Version { get; set; } /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` @@ -75,16 +69,22 @@ public sealed partial class Model public string? BaseModelId { get; set; } /// - /// Maximum number of input tokens allowed for this model. + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - [global::System.Text.Json.Serialization.JsonPropertyName("inputTokenLimit")] - public int? InputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("supportedGenerationMethods")] + public global::System.Collections.Generic.IList? SupportedGenerationMethods { get; set; } /// - /// Maximum number of output tokens available for this model. + /// Whether the model supports thinking. /// - [global::System.Text.Json.Serialization.JsonPropertyName("outputTokenLimit")] - public int? OutputTokenLimit { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinking")] + public bool? Thinking { get; set; } + + /// + /// The maximum temperature this model can use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("maxTemperature")] + public float? MaxTemperature { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -95,23 +95,17 @@ public sealed partial class Model /// /// Initializes a new instance of the class. /// - /// - /// 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. - /// - /// - /// 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. + /// + /// 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` /// - /// - /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) + /// + /// For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. If empty, indicates the model doesn't use top-k sampling, and `top_k` isn't allowed as a generation parameter. /// - /// - /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. + /// + /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. /// /// /// 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. @@ -119,52 +113,58 @@ public sealed partial class Model /// /// A short description of the model. /// - /// - /// Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model. + /// + /// Maximum number of output tokens available for this model. /// - /// - /// The maximum temperature this model can use. + /// + /// For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model. + /// + /// + /// Required. The version number of the model. This represents the major version (`1.0` or `1.5`) /// /// /// Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash` /// - /// - /// Maximum number of input tokens allowed for this model. + /// + /// The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`. /// - /// - /// Maximum number of output tokens available for this model. + /// + /// Whether the model supports thinking. + /// + /// + /// The maximum temperature this model can use. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Model( - int? topK, - bool? thinking, - float? topP, + int? inputTokenLimit, string? name, - string? version, - global::System.Collections.Generic.IList? supportedGenerationMethods, + int? topK, + float? temperature, string? displayName, string? description, - float? temperature, - float? maxTemperature, + int? outputTokenLimit, + float? topP, + string? version, string? baseModelId, - int? inputTokenLimit, - int? outputTokenLimit) + global::System.Collections.Generic.IList? supportedGenerationMethods, + bool? thinking, + float? maxTemperature) { + this.InputTokenLimit = inputTokenLimit; + this.Name = name; this.TopK = topK; - this.Thinking = thinking; + this.Temperature = temperature; + this.DisplayName = displayName; + this.Description = description; + this.OutputTokenLimit = outputTokenLimit; this.TopP = topP; - this.Name = name; this.Version = version; + this.BaseModelId = baseModelId; this.SupportedGenerationMethods = supportedGenerationMethods; - this.DisplayName = displayName; - this.Description = description; - this.Temperature = temperature; + this.Thinking = thinking; this.MaxTemperature = maxTemperature; - this.BaseModelId = baseModelId; - this.InputTokenLimit = inputTokenLimit; - this.OutputTokenLimit = outputTokenLimit; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs index ad41b18b6..10303d151 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ModelStatus.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class ModelStatus { + /// + /// A message explaining the model status. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("message")] + public string? Message { get; set; } + /// /// The stage of the underlying model. /// @@ -15,12 +21,6 @@ public sealed partial class ModelStatus [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.ModelStatusModelStageJsonConverter))] public global::Google.Gemini.ModelStatusModelStage? ModelStage { get; set; } - /// - /// 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. /// @@ -36,12 +36,12 @@ public sealed partial class ModelStatus /// /// Initializes a new instance of the class. /// - /// - /// The stage of the underlying model. - /// /// /// A message explaining the model status. /// + /// + /// The stage of the underlying model. + /// /// /// The time at which the model will be retired. /// @@ -49,12 +49,12 @@ public sealed partial class ModelStatus [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ModelStatus( - global::Google.Gemini.ModelStatusModelStage? modelStage, string? message, + global::Google.Gemini.ModelStatusModelStage? modelStage, string? retirementTime) { - this.ModelStage = modelStage; this.Message = message; + this.ModelStage = modelStage; this.RetirementTime = retirementTime; } diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Operation.g.cs index f49b19f51..37eed342f 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 @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Operation { /// - /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. /// - [global::System.Text.Json.Serialization.JsonPropertyName("error")] - public global::Google.Gemini.Status? Error { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("metadata")] + public object? Metadata { get; set; } /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. + /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - [global::System.Text.Json.Serialization.JsonPropertyName("response")] - public object? Response { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("error")] + public global::Google.Gemini.Status? Error { get; set; } /// /// 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. @@ -33,10 +33,10 @@ public sealed partial class Operation public string? Name { get; set; } /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// The 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("metadata")] - public object? Metadata { 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 Operation /// /// Initializes a new instance of the class. /// + /// + /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// /// /// The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors). /// - /// - /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. - /// /// /// If the value is `false`, it means the operation is still in progress. If `true`, the operation is completed, and either `error` or `response` is available. /// /// /// The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`. /// - /// - /// Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any. + /// + /// The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Operation( + object? metadata, global::Google.Gemini.Status? error, - object? response, bool? done, string? name, - object? metadata) + object? response) { + this.Metadata = metadata; this.Error = error; - this.Response = response; this.Done = done; this.Name = name; - 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 ad9f905cf..35f8db575 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 @@ -11,16 +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 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. + /// Optional. An opaque signature for the thought so it can be reused in subsequent requests. /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] - public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thoughtSignature")] + public byte[]? ThoughtSignature { 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. @@ -29,10 +29,16 @@ public sealed partial class Part public global::Google.Gemini.ExecutableCode? ExecutableCode { get; set; } /// - /// Inline text. + /// URI based data. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] + public global::Google.Gemini.FileData? FileData { 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; } /// /// 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. @@ -41,10 +47,10 @@ public sealed partial class Part public object? PartMetadata { get; set; } /// - /// URI based data. + /// Optional. Indicates if the part is thought from the model. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileData")] - public global::Google.Gemini.FileData? FileData { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thought")] + public bool? Thought { 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`. @@ -53,10 +59,10 @@ public sealed partial class Part public global::Google.Gemini.ToolCall? ToolCall { get; set; } /// - /// Optional. Indicates if the part is thought from the model. + /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thought")] - public bool? Thought { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionCall")] + public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } /// /// Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content. @@ -66,22 +72,10 @@ public sealed partial class Part public global::Google.Gemini.VideoMetadata? VideoMetadata { 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; } - - /// - /// 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("functionCall")] - public global::Google.Gemini.FunctionCall? FunctionCall { get; set; } - - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// - [global::System.Text.Json.Serialization.JsonPropertyName("codeExecutionResult")] - public global::Google.Gemini.CodeExecutionResult? CodeExecutionResult { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("functionResponse")] + public global::Google.Gemini.FunctionResponse? FunctionResponse { get; set; } /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. @@ -89,6 +83,12 @@ public sealed partial class Part [global::System.Text.Json.Serialization.JsonPropertyName("inlineData")] public global::Google.Gemini.Blob? InlineData { get; set; } + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("toolResponse")] + public global::Google.Gemini.ToolResponse? ToolResponse { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -98,71 +98,71 @@ public sealed partial class Part /// /// Initializes a new instance of the class. /// + /// + /// Inline text. + /// /// /// 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. - /// /// /// 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. - /// - /// - /// Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams. - /// /// /// URI based data. /// - /// - /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. + /// + /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// + /// 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. Indicates if the part is thought from the model. /// - /// - /// 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`. + /// + /// A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`. /// /// /// A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values. /// - /// - /// Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used. + /// + /// The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction. /// /// /// Raw media bytes. Text should not be sent as raw bytes, use the 'text' field. /// + /// + /// The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Part( + string? text, byte[]? thoughtSignature, - global::Google.Gemini.FunctionResponse? functionResponse, global::Google.Gemini.ExecutableCode? executableCode, - string? text, - object? partMetadata, global::Google.Gemini.FileData? fileData, - global::Google.Gemini.ToolCall? toolCall, + global::Google.Gemini.CodeExecutionResult? codeExecutionResult, + object? partMetadata, bool? thought, - global::Google.Gemini.ToolResponse? toolResponse, + global::Google.Gemini.ToolCall? toolCall, global::Google.Gemini.FunctionCall? functionCall, - global::Google.Gemini.CodeExecutionResult? codeExecutionResult, - global::Google.Gemini.Blob? inlineData) + global::Google.Gemini.FunctionResponse? functionResponse, + global::Google.Gemini.Blob? inlineData, + global::Google.Gemini.ToolResponse? toolResponse) { + this.Text = text; this.ThoughtSignature = thoughtSignature; - this.FunctionResponse = functionResponse; this.ExecutableCode = executableCode; - this.Text = text; - this.PartMetadata = partMetadata; this.FileData = fileData; - this.ToolCall = toolCall; + this.CodeExecutionResult = codeExecutionResult; + this.PartMetadata = partMetadata; this.Thought = thought; - this.ToolResponse = toolResponse; + this.ToolCall = toolCall; this.FunctionCall = functionCall; - this.CodeExecutionResult = codeExecutionResult; + this.FunctionResponse = functionResponse; this.InlineData = inlineData; + this.ToolResponse = toolResponse; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Permission.g.cs index 9a41c0152..5c53ffdac 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. /// @@ -23,10 +16,11 @@ public sealed partial class Permission 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. + /// 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("emailAddress")] - public string? EmailAddress { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } /// /// Required. The role granted by this permission. @@ -35,6 +29,12 @@ 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. + /// /// /// 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. /// - /// - /// Required. The role granted by this permission. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Permission( - string? name, global::Google.Gemini.PermissionGranteeType? granteeType, - string? emailAddress, - global::Google.Gemini.PermissionRole? role) + string? name, + global::Google.Gemini.PermissionRole? role, + string? emailAddress) { - this.Name = name; this.GranteeType = granteeType; - this.EmailAddress = emailAddress; + this.Name = name; this.Role = role; + this.EmailAddress = emailAddress; } /// 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 f7e526d8a..458cc7a70 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.PromptFeedback.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class PromptFeedback { - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] - public global::System.Collections.Generic.IList? SafetyRatings { get; set; } - /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// @@ -21,6 +15,12 @@ public sealed partial class PromptFeedback [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.PromptFeedbackBlockReasonJsonConverter))] public global::Google.Gemini.PromptFeedbackBlockReason? BlockReason { get; set; } + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("safetyRatings")] + public global::System.Collections.Generic.IList? SafetyRatings { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -30,21 +30,21 @@ public sealed partial class PromptFeedback /// /// Initializes a new instance of the class. /// - /// - /// Ratings for safety of the prompt. There is at most one rating per category. - /// /// /// Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. /// + /// + /// Ratings for safety of the prompt. There is at most one rating per category. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public PromptFeedback( - global::System.Collections.Generic.IList? safetyRatings, - global::Google.Gemini.PromptFeedbackBlockReason? blockReason) + global::Google.Gemini.PromptFeedbackBlockReason? blockReason, + global::System.Collections.Generic.IList? safetyRatings) { - this.SafetyRatings = safetyRatings; this.BlockReason = blockReason; + this.SafetyRatings = safetyRatings; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs index 1d723d03b..3dcf1c7b7 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievalConfig.g.cs @@ -8,18 +8,18 @@ namespace Google.Gemini /// public sealed partial class RetrievalConfig { - /// - /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] - public global::Google.Gemini.LatLng? LatLng { get; set; } - /// /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). /// [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } + /// + /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("latLng")] + public global::Google.Gemini.LatLng? LatLng { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -29,21 +29,21 @@ public sealed partial class RetrievalConfig /// /// Initializes a new instance of the class. /// - /// - /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. - /// /// /// Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt). /// + /// + /// An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievalConfig( - global::Google.Gemini.LatLng? latLng, - string? languageCode) + string? languageCode, + global::Google.Gemini.LatLng? latLng) { - this.LatLng = latLng; this.LanguageCode = languageCode; + this.LatLng = latLng; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.RetrievedContext.g.cs index eb7de27c0..4e7ea93ce 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 @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class RetrievedContext { /// - /// Optional. Text of the chunk. + /// Optional. User-provided metadata about the retrieved context. /// - [global::System.Text.Json.Serialization.JsonPropertyName("text")] - public string? Text { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] + public string? FileSearchStore { get; set; } /// /// Optional. Page number of the retrieved context, if applicable. @@ -26,12 +32,6 @@ public sealed partial class RetrievedContext [global::System.Text.Json.Serialization.JsonPropertyName("title")] public string? Title { get; set; } - /// - /// Optional. User-provided metadata about the retrieved context. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// @@ -39,10 +39,10 @@ public sealed partial class RetrievedContext public string? MediaId { get; set; } /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// Optional. Text of the chunk. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearchStore")] - public string? FileSearchStore { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("text")] + public string? Text { get; set; } /// /// Optional. URI reference of the semantic retrieval document. @@ -59,8 +59,11 @@ public sealed partial class RetrievedContext /// /// Initializes a new instance of the class. /// - /// - /// Optional. Text of the chunk. + /// + /// Optional. User-provided metadata about the retrieved context. + /// + /// + /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` /// /// /// Optional. Page number of the retrieved context, if applicable. @@ -68,14 +71,11 @@ public sealed partial class RetrievedContext /// /// Optional. Title of the document. /// - /// - /// Optional. User-provided metadata about the retrieved context. - /// /// /// Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id} /// - /// - /// Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123` + /// + /// Optional. Text of the chunk. /// /// /// Optional. URI reference of the semantic retrieval document. @@ -84,20 +84,20 @@ public sealed partial class RetrievedContext [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public RetrievedContext( - string? text, + global::System.Collections.Generic.IList? customMetadata, + string? fileSearchStore, int? pageNumber, string? title, - global::System.Collections.Generic.IList? customMetadata, string? mediaId, - string? fileSearchStore, + string? text, string? uri) { - this.Text = text; + this.CustomMetadata = customMetadata; + this.FileSearchStore = fileSearchStore; this.PageNumber = pageNumber; this.Title = title; - this.CustomMetadata = customMetadata; this.MediaId = mediaId; - this.FileSearchStore = fileSearchStore; + this.Text = text; this.Uri = uri; } 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 1575df9d2..4d10712f5 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 @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class SafetyRating { + /// + /// Required. The probability of harm for this content. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("probability")] + [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] + public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } + /// /// Was this content blocked because of this rating? /// @@ -21,13 +28,6 @@ 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; } - /// - /// Required. The probability of harm for this content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("probability")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SafetyRatingProbabilityJsonConverter))] - public global::Google.Gemini.SafetyRatingProbability? Probability { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -37,26 +37,26 @@ public sealed partial class SafetyRating /// /// Initializes a new instance of the class. /// + /// + /// Required. The probability of harm for this content. + /// /// /// Was this content blocked because of this rating? /// /// /// Required. The category for this rating. /// - /// - /// Required. The probability of harm for this content. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SafetyRating( + global::Google.Gemini.SafetyRatingProbability? probability, bool? blocked, - global::Google.Gemini.SafetyRatingCategory? category, - global::Google.Gemini.SafetyRatingProbability? probability) + global::Google.Gemini.SafetyRatingCategory? category) { + this.Probability = probability; this.Blocked = blocked; this.Category = category; - this.Probability = probability; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs index dbc2a7d37..1b55843c4 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Schema.g.cs @@ -9,16 +9,16 @@ namespace Google.Gemini public sealed partial class Schema { /// - /// Optional. Indicates if the value may be null. + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] - public bool? Nullable { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("enum")] + public global::System.Collections.Generic.IList? Enum { get; set; } /// - /// Optional. Properties of Type.OBJECT. + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// - [global::System.Text.Json.Serialization.JsonPropertyName("properties")] - public global::System.Collections.Generic.Dictionary? Properties { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("format")] + public string? Format { get; set; } /// /// Optional. Example of the object. Will only populated when the object is the root. @@ -27,41 +27,40 @@ public sealed partial class Schema public object? Example { get; set; } /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// Optional. Indicates if the value may be null. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] - public string? MinLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("nullable")] + public bool? Nullable { get; set; } /// - /// Optional. The value should be validated against any (one or more) of the subschemas in the list. + /// Optional. Required properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] - public global::System.Collections.Generic.IList? AnyOf { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("required")] + public global::System.Collections.Generic.IList? Required { get; set; } /// - /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} + /// Optional. The value should be validated against any (one or more) of the subschemas in the list. /// - [global::System.Text.Json.Serialization.JsonPropertyName("enum")] - public global::System.Collections.Generic.IList? Enum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("anyOf")] + public global::System.Collections.Generic.IList? AnyOf { get; set; } /// - /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER + /// Optional. Properties of Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] - public double? Maximum { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("properties")] + public global::System.Collections.Generic.Dictionary? Properties { get; set; } /// - /// Optional. Maximum length of the Type.STRING + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] - public string? MaxLength { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("items")] + public global::Google.Gemini.Schema? Items { get; set; } /// - /// Required. Data type. + /// Optional. Minimum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("type")] - [global::System.Text.Json.Serialization.JsonConverter(typeof(global::Google.Gemini.JsonConverters.SchemaTypeJsonConverter))] - public global::Google.Gemini.SchemaType? Type { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] + public string? MinItems { get; set; } /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER @@ -70,34 +69,40 @@ public sealed partial class Schema public double? Minimum { get; set; } /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minItems")] - public string? MinItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("default")] + public object? Default { 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. 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("items")] - public global::Google.Gemini.Schema? Items { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("description")] + public string? Description { get; set; } /// - /// Optional. Required properties of Type.OBJECT. + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - [global::System.Text.Json.Serialization.JsonPropertyName("required")] - public global::System.Collections.Generic.IList? Required { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maximum")] + public double? Maximum { get; set; } /// - /// Optional. The title of the schema. + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("title")] - public string? Title { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minLength")] + public string? MinLength { get; set; } /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// Optional. Minimum number of the properties for Type.OBJECT. /// - [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] - public string? MaxItems { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] + public string? MinProperties { get; set; } + + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] + public string? Pattern { get; set; } /// /// Optional. Maximum number of the properties for Type.OBJECT. @@ -106,16 +111,16 @@ public sealed partial class Schema public string? MaxProperties { get; set; } /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// Optional. The title of the schema. /// - [global::System.Text.Json.Serialization.JsonPropertyName("format")] - public string? Format { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("title")] + public string? Title { get; set; } /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// Optional. Maximum number of the elements for Type.ARRAY. /// - [global::System.Text.Json.Serialization.JsonPropertyName("default")] - public object? Default { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxItems")] + public string? MaxItems { 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. @@ -124,22 +129,17 @@ 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("description")] - public string? Description { get; set; } - - /// - /// Optional. Minimum number of the properties for Type.OBJECT. + /// Required. Data type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("minProperties")] - public string? MinProperties { 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. Pattern of the Type.STRING to restrict a string to a regular expression. + /// Optional. Maximum length of the Type.STRING /// - [global::System.Text.Json.Serialization.JsonPropertyName("pattern")] - public string? Pattern { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("maxLength")] + public string? MaxLength { 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. Indicates if the value may be null. + /// + /// Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:["EAST", NORTH", "SOUTH", "WEST"]} /// - /// - /// Optional. Properties of Type.OBJECT. + /// + /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. /// /// /// Optional. Example of the object. Will only populated when the object is the root. /// - /// - /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING + /// + /// Optional. Indicates if the value may be null. + /// + /// + /// Optional. Required properties of Type.OBJECT. /// /// /// 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. Maximum value of the Type.INTEGER and Type.NUMBER + /// + /// Optional. Properties of Type.OBJECT. /// - /// - /// Optional. Maximum length of the Type.STRING + /// + /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). /// - /// - /// Required. Data type. + /// + /// Optional. Minimum number of the elements for Type.ARRAY. /// /// /// Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. Minimum number of the elements for Type.ARRAY. + /// + /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. /// - /// - /// The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema). + /// + /// Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown. /// - /// - /// Optional. Required properties of Type.OBJECT. + /// + /// Optional. Maximum value of the Type.INTEGER and Type.NUMBER /// - /// - /// Optional. The title of the schema. + /// + /// Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING /// - /// - /// Optional. Maximum number of the elements for Type.ARRAY. + /// + /// Optional. Minimum number of the properties for Type.OBJECT. + /// + /// + /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. /// /// /// Optional. Maximum number of the properties for Type.OBJECT. /// - /// - /// Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality. + /// + /// Optional. The title of the schema. /// - /// - /// Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors. + /// + /// Optional. Maximum number of the elements for Type.ARRAY. /// /// /// 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. Minimum number of the properties for Type.OBJECT. + /// + /// Required. Data type. /// - /// - /// Optional. Pattern of the Type.STRING to restrict a string to a regular expression. + /// + /// Optional. Maximum length of the Type.STRING /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Schema( - bool? nullable, - global::System.Collections.Generic.Dictionary? properties, + global::System.Collections.Generic.IList? @enum, + string? format, object? example, - string? minLength, + bool? nullable, + global::System.Collections.Generic.IList? required, global::System.Collections.Generic.IList? anyOf, - global::System.Collections.Generic.IList? @enum, - double? maximum, - string? maxLength, - global::Google.Gemini.SchemaType? type, - double? minimum, - string? minItems, + global::System.Collections.Generic.Dictionary? properties, global::Google.Gemini.Schema? items, - global::System.Collections.Generic.IList? required, - string? title, - string? maxItems, - string? maxProperties, - string? format, + string? minItems, + double? minimum, object? @default, - global::System.Collections.Generic.IList? propertyOrdering, string? description, + double? maximum, + string? minLength, string? minProperties, - string? pattern) + string? pattern, + string? maxProperties, + string? title, + string? maxItems, + global::System.Collections.Generic.IList? propertyOrdering, + global::Google.Gemini.SchemaType? type, + string? maxLength) { - this.Nullable = nullable; - this.Properties = properties; + this.Enum = @enum; + this.Format = format; this.Example = example; - this.MinLength = minLength; + this.Nullable = nullable; + this.Required = required; this.AnyOf = anyOf; - this.Enum = @enum; - this.Maximum = maximum; - this.MaxLength = maxLength; - this.Type = type; - this.Minimum = minimum; - this.MinItems = minItems; + this.Properties = properties; this.Items = items; - this.Required = required; - this.Title = title; - this.MaxItems = maxItems; - this.MaxProperties = maxProperties; - this.Format = format; + this.MinItems = minItems; + this.Minimum = minimum; this.Default = @default; - this.PropertyOrdering = propertyOrdering; this.Description = description; + this.Maximum = maximum; + this.MinLength = minLength; this.MinProperties = minProperties; this.Pattern = pattern; + this.MaxProperties = maxProperties; + this.Title = title; + this.MaxItems = maxItems; + this.PropertyOrdering = propertyOrdering; + this.Type = type; + this.MaxLength = maxLength; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs index 24d94e406..45f30e57d 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SemanticRetrieverChunk.g.cs @@ -9,18 +9,18 @@ namespace Google.Gemini public sealed partial class SemanticRetrieverChunk { /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("source")] - public string? Source { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] + public string? Chunk { get; set; } /// - /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
+ /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("chunk")] - public string? Chunk { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("source")] + public string? Source { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -31,23 +31,23 @@ public sealed partial class SemanticRetrieverChunk /// /// Initializes a new instance of the class. /// - /// - /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
- /// Included only in responses - /// /// /// Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`
/// Included only in responses /// + /// + /// Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SemanticRetrieverChunk( - string? source, - string? chunk) + string? chunk, + string? source) { - this.Source = source; this.Chunk = chunk; + this.Source = source; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs index bef80e26e..3c8418594 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.SpeechConfig.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class SpeechConfig { + /// + /// The configuration for the multi-speaker setup. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] + public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } + /// /// The configuration for the voice to use. /// @@ -20,12 +26,6 @@ public sealed partial class SpeechConfig [global::System.Text.Json.Serialization.JsonPropertyName("languageCode")] public string? LanguageCode { get; set; } - /// - /// The configuration for the multi-speaker setup. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("multiSpeakerVoiceConfig")] - public global::Google.Gemini.MultiSpeakerVoiceConfig? MultiSpeakerVoiceConfig { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class SpeechConfig /// /// Initializes a new instance of the class. /// + /// + /// The configuration for the multi-speaker setup. + /// /// /// The configuration for the voice to use. /// /// /// Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`. /// - /// - /// The configuration for the multi-speaker setup. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public SpeechConfig( + global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig, global::Google.Gemini.VoiceConfig? voiceConfig, - string? languageCode, - global::Google.Gemini.MultiSpeakerVoiceConfig? multiSpeakerVoiceConfig) + string? languageCode) { + this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; this.VoiceConfig = voiceConfig; this.LanguageCode = languageCode; - this.MultiSpeakerVoiceConfig = multiSpeakerVoiceConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Status.g.cs index 7afcb1083..08b874895 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 @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class Status { - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("details")] - public global::System.Collections.Generic.IList? Details { get; set; } - /// /// The status code, which should be an enum value of google.rpc.Code. /// @@ -26,6 +20,12 @@ public sealed partial class Status [global::System.Text.Json.Serialization.JsonPropertyName("message")] public string? Message { get; set; } + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("details")] + public global::System.Collections.Generic.IList? Details { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class Status /// /// Initializes a new instance of the class. /// - /// - /// A list of messages that carry the error details. There is a common set of message types for APIs to use. - /// /// /// The status code, which should be an enum value of google.rpc.Code. /// /// /// A developer-facing error message, which should be in English. Any user-facing error message should be localized and sent in the google.rpc.Status.details field, or localized by the client. /// + /// + /// A list of messages that carry the error details. There is a common set of message types for APIs to use. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Status( - global::System.Collections.Generic.IList? details, int? code, - string? message) + string? message, + global::System.Collections.Generic.IList? details) { - this.Details = details; 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 64b6dbf3d..cab01a0cb 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.StreamableHttpTransport.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class StreamableHttpTransport { /// - /// Timeout for SSE read operations. + /// HTTP timeout for regular operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] - public string? SseReadTimeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] + public string? Timeout { get; set; } /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. @@ -21,22 +21,22 @@ public sealed partial class StreamableHttpTransport public global::System.Collections.Generic.Dictionary? Headers { get; set; } /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// Whether to close the client session when the transport closes. /// - [global::System.Text.Json.Serialization.JsonPropertyName("url")] - public string? Url { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] + public bool? TerminateOnClose { get; set; } /// - /// HTTP timeout for regular operations. + /// Timeout for SSE read operations. /// - [global::System.Text.Json.Serialization.JsonPropertyName("timeout")] - public string? Timeout { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("sseReadTimeout")] + public string? SseReadTimeout { get; set; } /// - /// Whether to close the client session when the transport closes. + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" /// - [global::System.Text.Json.Serialization.JsonPropertyName("terminateOnClose")] - public bool? TerminateOnClose { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("url")] + public string? Url { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -47,36 +47,36 @@ public sealed partial class StreamableHttpTransport /// /// Initializes a new instance of the class. /// - /// - /// Timeout for SSE read operations. + /// + /// HTTP timeout for regular operations. /// /// /// Optional: Fields for authentication headers, timeouts, etc., if needed. /// - /// - /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" - /// - /// - /// HTTP timeout for regular operations. - /// /// /// Whether to close the client session when the transport closes. /// + /// + /// Timeout for SSE read operations. + /// + /// + /// The full URL for the MCPServer endpoint. Example: "https://api.example.com/mcp" + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public StreamableHttpTransport( - string? sseReadTimeout, - global::System.Collections.Generic.Dictionary? headers, - string? url, string? timeout, - bool? terminateOnClose) + global::System.Collections.Generic.Dictionary? headers, + bool? terminateOnClose, + string? sseReadTimeout, + string? url) { - this.SseReadTimeout = sseReadTimeout; - this.Headers = headers; - this.Url = url; this.Timeout = timeout; + this.Headers = headers; this.TerminateOnClose = terminateOnClose; + this.SseReadTimeout = sseReadTimeout; + this.Url = url; } /// 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 0f2df624d..b60b285bd 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ThinkingConfig.g.cs @@ -9,10 +9,10 @@ namespace Google.Gemini public sealed partial class ThinkingConfig { /// - /// The number of thoughts tokens that the model should generate. + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// - [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] - public int? ThinkingBudget { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] + public bool? IncludeThoughts { get; set; } /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error. @@ -22,10 +22,10 @@ public sealed partial class ThinkingConfig public global::Google.Gemini.ThinkingConfigThinkingLevel? ThinkingLevel { get; set; } /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("includeThoughts")] - public bool? IncludeThoughts { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("thinkingBudget")] + public int? ThinkingBudget { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -36,26 +36,26 @@ public sealed partial class ThinkingConfig /// /// Initializes a new instance of the class. /// - /// - /// The number of thoughts tokens that the model should generate. + /// + /// Indicates whether to include thoughts in the response. If true, thoughts are returned only when available. /// /// /// Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. 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. + /// + /// The number of thoughts tokens that the model should generate. /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ThinkingConfig( - int? thinkingBudget, + bool? includeThoughts, global::Google.Gemini.ThinkingConfigThinkingLevel? thinkingLevel, - bool? includeThoughts) + int? thinkingBudget) { - this.ThinkingBudget = thinkingBudget; - this.ThinkingLevel = thinkingLevel; this.IncludeThoughts = includeThoughts; + this.ThinkingLevel = thinkingLevel; + this.ThinkingBudget = thinkingBudget; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs index 426344862..c5a155190 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.Tool.g.cs @@ -9,10 +9,16 @@ namespace Google.Gemini public sealed partial class Tool { /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// Computer Use tool type. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] - public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("computerUse")] + public global::Google.Gemini.ComputerUse? ComputerUse { get; set; } + + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] + public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } /// /// Tool to support URL context retrieval. @@ -21,10 +27,10 @@ public sealed partial class Tool public global::Google.Gemini.UrlContext? UrlContext { get; set; } /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// - [global::System.Text.Json.Serialization.JsonPropertyName("googleSearch")] - public global::Google.Gemini.GoogleSearch? GoogleSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] + public global::Google.Gemini.FileSearch? FileSearch { get; set; } /// /// Optional. MCP Servers to connect to. @@ -32,6 +38,12 @@ public sealed partial class Tool [global::System.Text.Json.Serialization.JsonPropertyName("mcpServers")] public global::System.Collections.Generic.IList? McpServers { get; set; } + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] + public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } + /// /// Tool to retrieve public web data for grounding, powered by Google. /// @@ -39,10 +51,10 @@ public sealed partial class Tool 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. + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// - [global::System.Text.Json.Serialization.JsonPropertyName("fileSearch")] - public global::Google.Gemini.FileSearch? FileSearch { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("googleMaps")] + public global::Google.Gemini.GoogleMaps? GoogleMaps { get; set; } /// /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. @@ -50,18 +62,6 @@ public sealed partial class 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; } - - /// - /// 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("functionDeclarations")] - public global::System.Collections.Generic.IList? FunctionDeclarations { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -71,56 +71,56 @@ public sealed partial class Tool /// /// Initializes a new instance of the class. /// - /// - /// The GoogleMaps Tool that provides geospatial context for the user's query. + /// + /// Computer Use tool type. + /// + /// + /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. /// /// /// Tool to support URL context retrieval. /// - /// - /// GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google. + /// + /// The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API. /// /// /// Optional. MCP Servers to connect to. /// + /// + /// Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role "function" generation context for the next model turn. + /// /// /// Tool to 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. + /// + /// The GoogleMaps Tool that provides geospatial context for the user's query. /// /// /// Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool. /// - /// - /// Computer Use tool type. - /// - /// - /// Optional. 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. - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public Tool( - global::Google.Gemini.GoogleMaps? googleMaps, - global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.ComputerUse? computerUse, global::Google.Gemini.GoogleSearch? googleSearch, + global::Google.Gemini.UrlContext? urlContext, + global::Google.Gemini.FileSearch? fileSearch, global::System.Collections.Generic.IList? mcpServers, + global::System.Collections.Generic.IList? functionDeclarations, global::Google.Gemini.GoogleSearchRetrieval? googleSearchRetrieval, - global::Google.Gemini.FileSearch? fileSearch, - global::Google.Gemini.CodeExecution? codeExecution, - global::Google.Gemini.ComputerUse? computerUse, - global::System.Collections.Generic.IList? functionDeclarations) + global::Google.Gemini.GoogleMaps? googleMaps, + global::Google.Gemini.CodeExecution? codeExecution) { - this.GoogleMaps = googleMaps; - this.UrlContext = urlContext; + this.ComputerUse = computerUse; this.GoogleSearch = googleSearch; + this.UrlContext = urlContext; + this.FileSearch = fileSearch; this.McpServers = mcpServers; + this.FunctionDeclarations = functionDeclarations; this.GoogleSearchRetrieval = googleSearchRetrieval; - this.FileSearch = fileSearch; + this.GoogleMaps = googleMaps; this.CodeExecution = codeExecution; - this.ComputerUse = computerUse; - this.FunctionDeclarations = functionDeclarations; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs index 066ff4f1b..ba6504675 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.ToolConfig.g.cs @@ -8,12 +8,6 @@ namespace Google.Gemini /// public sealed partial class ToolConfig { - /// - /// Retrieval config. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] - public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } - /// /// Configuration for specifying function calling behavior. /// @@ -26,6 +20,12 @@ public sealed partial class ToolConfig [global::System.Text.Json.Serialization.JsonPropertyName("includeServerSideToolInvocations")] public bool? IncludeServerSideToolInvocations { get; set; } + /// + /// Retrieval config. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("retrievalConfig")] + public global::Google.Gemini.RetrievalConfig? RetrievalConfig { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -35,26 +35,26 @@ public sealed partial class ToolConfig /// /// Initializes a new instance of the class. /// - /// - /// Retrieval config. - /// /// /// Configuration for specifying function calling behavior. /// /// /// Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions. /// + /// + /// Retrieval config. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public ToolConfig( - global::Google.Gemini.RetrievalConfig? retrievalConfig, global::Google.Gemini.FunctionCallingConfig? functionCallingConfig, - bool? includeServerSideToolInvocations) + bool? includeServerSideToolInvocations, + global::Google.Gemini.RetrievalConfig? retrievalConfig) { - this.RetrievalConfig = retrievalConfig; this.FunctionCallingConfig = functionCallingConfig; this.IncludeServerSideToolInvocations = includeServerSideToolInvocations; + this.RetrievalConfig = retrievalConfig; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TunedModel.g.cs index c037ce802..157c9750f 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 @@ -14,6 +14,13 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("tunedModelSource")] public global::Google.Gemini.TunedModelSource? TunedModelSource { get; set; } + /// + /// Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("name")] + public string? Name { get; set; } + /// /// Output only. The state of the tuned model.
/// Included only in responses @@ -23,18 +30,16 @@ public sealed partial class TunedModel public global::Google.Gemini.TunedModelState? State { get; set; } /// - /// Output only. The timestamp when this model was updated.
- /// Included only in responses + /// Tuning tasks that create tuned models. /// - [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] - public string? UpdateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] + public global::Google.Gemini.TuningTask? TuningTask { get; set; } /// - /// Output only. The timestamp when this model was created.
- /// Included only in responses + /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// - [global::System.Text.Json.Serialization.JsonPropertyName("createTime")] - public string? CreateTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] + public string? BaseModel { get; set; } /// /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. @@ -43,29 +48,10 @@ public sealed partial class TunedModel public int? TopK { 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. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("topP")] - public float? TopP { get; set; } - - /// - /// Tuning tasks that create tuned models. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("tuningTask")] - public global::Google.Gemini.TuningTask? TuningTask { get; set; } - - /// - /// 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("name")] - public string? Name { get; set; } - - /// - /// 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. /// - [global::System.Text.Json.Serialization.JsonPropertyName("baseModel")] - public string? BaseModel { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] + public float? Temperature { get; set; } /// /// Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces. @@ -80,10 +66,17 @@ public sealed partial class TunedModel public string? Description { 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. + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("temperature")] - public float? Temperature { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("updateTime")] + public string? UpdateTime { get; set; } + + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("topP")] + public float? TopP { get; set; } /// /// Optional. List of project numbers that have read access to the tuned model. @@ -91,6 +84,13 @@ public sealed partial class TunedModel [global::System.Text.Json.Serialization.JsonPropertyName("readerProjectNumbers")] public global::System.Collections.Generic.IList? ReaderProjectNumbers { get; set; } + /// + /// Output only. The timestamp when this model 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 /// @@ -103,77 +103,77 @@ public sealed partial class TunedModel /// /// Tuned model as a source for training a new model. /// - /// - /// Output only. The state of the tuned model.
- /// Included only in responses - /// - /// - /// 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 /// - /// - /// Output only. The timestamp when this model was created.
+ /// + /// Output only. The state of the tuned model.
/// Included only in responses /// - /// - /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. - /// - /// - /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. - /// /// /// Tuning tasks that create tuned models. /// - /// - /// 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 - /// /// /// Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001` /// + /// + /// Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// + /// Optional. 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. A short description of this model. /// - /// - /// Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model. + /// + /// Output only. The timestamp when this model was updated.
+ /// Included only in responses + /// + /// + /// Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model. /// /// /// Optional. List of project numbers that have read access to the tuned model. /// + /// + /// Output only. The timestamp when this model was created.
+ /// Included only in responses + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TunedModel( global::Google.Gemini.TunedModelSource? tunedModelSource, + string? name, global::Google.Gemini.TunedModelState? state, - string? updateTime, - string? createTime, - int? topK, - float? topP, global::Google.Gemini.TuningTask? tuningTask, - string? name, string? baseModel, + int? topK, + float? temperature, string? displayName, string? description, - float? temperature, - global::System.Collections.Generic.IList? readerProjectNumbers) + string? updateTime, + float? topP, + global::System.Collections.Generic.IList? readerProjectNumbers, + string? createTime) { this.TunedModelSource = tunedModelSource; + this.Name = name; this.State = state; - this.UpdateTime = updateTime; - this.CreateTime = createTime; - this.TopK = topK; - this.TopP = topP; this.TuningTask = tuningTask; - this.Name = name; this.BaseModel = baseModel; + this.TopK = topK; + this.Temperature = temperature; this.DisplayName = displayName; this.Description = description; - this.Temperature = temperature; + this.UpdateTime = updateTime; + this.TopP = topP; this.ReaderProjectNumbers = readerProjectNumbers; + this.CreateTime = createTime; } /// 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 821e30332..9dd86293c 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningSnapshot.g.cs @@ -8,6 +8,13 @@ namespace Google.Gemini /// public sealed partial class TuningSnapshot { + /// + /// Output only. The timestamp when this metric was computed.
+ /// Included only in responses + /// + [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] + public string? ComputeTime { get; set; } + /// /// Output only. The epoch this step was part of.
/// Included only in responses @@ -29,13 +36,6 @@ public sealed partial class TuningSnapshot [global::System.Text.Json.Serialization.JsonPropertyName("step")] public int? Step { get; set; } - /// - /// Output only. The timestamp when this metric was computed.
- /// Included only in responses - /// - [global::System.Text.Json.Serialization.JsonPropertyName("computeTime")] - public string? ComputeTime { get; set; } - /// /// Additional properties that are not explicitly defined in the schema /// @@ -45,6 +45,10 @@ public sealed partial class TuningSnapshot /// /// Initializes a new instance of the class. /// + /// + /// 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 @@ -57,23 +61,19 @@ public sealed partial class TuningSnapshot /// Output only. The tuning step.
/// Included only in responses /// - /// - /// Output only. The timestamp when this metric was computed.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningSnapshot( + string? computeTime, int? epoch, float? meanLoss, - int? step, - string? computeTime) + int? step) { + this.ComputeTime = computeTime; this.Epoch = epoch; this.MeanLoss = meanLoss; this.Step = step; - this.ComputeTime = computeTime; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.TuningTask.g.cs index 4066a5e4f..00b2f7c45 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 @@ -16,11 +16,11 @@ public sealed partial class TuningTask public string? CompleteTime { get; set; } /// - /// Output only. The timestamp when tuning this model started.
+ /// Output only. Metrics collected during tuning.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] - public string? StartTime { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] + public global::System.Collections.Generic.IList? Snapshots { get; set; } /// /// Dataset for training or validation. @@ -29,17 +29,17 @@ public sealed partial class TuningTask public global::Google.Gemini.Dataset? TrainingData { get; set; } /// - /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance + /// Output only. The timestamp when tuning this model started.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] - public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("startTime")] + public string? StartTime { get; set; } /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses + /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - [global::System.Text.Json.Serialization.JsonPropertyName("snapshots")] - public global::System.Collections.Generic.IList? Snapshots { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("hyperparameters")] + public global::Google.Gemini.Hyperparameters? Hyperparameters { get; set; } /// /// Additional properties that are not explicitly defined in the schema @@ -54,35 +54,35 @@ public sealed partial class TuningTask /// Output only. The timestamp when tuning this model completed.
/// Included only in responses /// - /// - /// Output only. The timestamp when tuning this model started.
+ /// + /// Output only. Metrics collected during tuning.
/// Included only in responses /// /// /// Dataset for training or validation. /// + /// + /// Output only. The timestamp when tuning this model started.
+ /// Included only in responses + /// /// /// Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance /// - /// - /// Output only. Metrics collected during tuning.
- /// Included only in responses - /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public TuningTask( string? completeTime, - string? startTime, + global::System.Collections.Generic.IList? snapshots, global::Google.Gemini.Dataset? trainingData, - global::Google.Gemini.Hyperparameters? hyperparameters, - global::System.Collections.Generic.IList? snapshots) + string? startTime, + global::Google.Gemini.Hyperparameters? hyperparameters) { this.CompleteTime = completeTime; - this.StartTime = startTime; + this.Snapshots = snapshots; this.TrainingData = trainingData; + this.StartTime = startTime; this.Hyperparameters = hyperparameters; - this.Snapshots = snapshots; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs index 9d29ed3d3..a80a2077b 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UploadToFileSearchStoreRequest.g.cs @@ -8,18 +8,6 @@ namespace Google.Gemini /// public sealed partial class UploadToFileSearchStoreRequest { - /// - /// Custom metadata to be associated with the data. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] - public global::System.Collections.Generic.IList? CustomMetadata { get; set; } - - /// - /// Optional. Display name of the created document. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] - public string? DisplayName { get; set; } - /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// @@ -32,6 +20,18 @@ public sealed partial class UploadToFileSearchStoreRequest [global::System.Text.Json.Serialization.JsonPropertyName("mimeType")] public string? MimeType { get; set; } + /// + /// Optional. Display name of the created document. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("displayName")] + public string? DisplayName { get; set; } + + /// + /// Custom metadata to be associated with the data. + /// + [global::System.Text.Json.Serialization.JsonPropertyName("customMetadata")] + public global::System.Collections.Generic.IList? CustomMetadata { get; set; } + /// /// Additional properties that are not explicitly defined in the schema /// @@ -41,31 +41,31 @@ public sealed partial class UploadToFileSearchStoreRequest /// /// Initializes a new instance of the class. /// - /// - /// Custom metadata to be associated with the data. - /// - /// - /// Optional. Display name of the created document. - /// /// /// Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto /// /// /// Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content. /// + /// + /// Optional. Display name of the created document. + /// + /// + /// Custom metadata to be associated with the data. + /// #if NET7_0_OR_GREATER [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UploadToFileSearchStoreRequest( - global::System.Collections.Generic.IList? customMetadata, - string? displayName, global::Google.Gemini.ChunkingConfig? chunkingConfig, - string? mimeType) + string? mimeType, + string? displayName, + global::System.Collections.Generic.IList? customMetadata) { - this.CustomMetadata = customMetadata; - this.DisplayName = displayName; this.ChunkingConfig = chunkingConfig; this.MimeType = mimeType; + this.DisplayName = displayName; + this.CustomMetadata = customMetadata; } /// diff --git a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs index 2c1f6fda9..7983f3715 100644 --- a/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs +++ b/src/libs/Google.Gemini/Generated/Google.Gemini.Models.UsageMetadata.g.cs @@ -8,6 +8,12 @@ namespace Google.Gemini /// public sealed partial class UsageMetadata { + /// + /// Total token count for the generation request (prompt + response candidates). + /// + [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] + public int? TotalTokenCount { get; set; } + /// /// Number of tokens in the cached part of the prompt (the cached content) /// @@ -15,18 +21,18 @@ public sealed partial class UsageMetadata public int? CachedContentTokenCount { get; set; } /// - /// Output only. List of modalities that were processed in the request input.
+ /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokensDetails")] - public global::System.Collections.Generic.IList? PromptTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] + public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Output only. List of modalities that were returned in the response.
/// 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("candidatesTokensDetails")] + public global::System.Collections.Generic.IList? CandidatesTokensDetails { get; set; } /// /// Total number of tokens across all the generated response candidates. @@ -42,17 +48,17 @@ public sealed partial class UsageMetadata public int? ToolUsePromptTokenCount { get; set; } /// - /// Output only. List of modalities of the cached content in the request input.
- /// Included only in responses + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - [global::System.Text.Json.Serialization.JsonPropertyName("cacheTokensDetails")] - public global::System.Collections.Generic.IList? CacheTokensDetails { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] + public int? PromptTokenCount { get; set; } /// - /// Total token count for the generation request (prompt + response candidates). + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// - [global::System.Text.Json.Serialization.JsonPropertyName("totalTokenCount")] - public int? TotalTokenCount { get; set; } + [global::System.Text.Json.Serialization.JsonPropertyName("toolUsePromptTokensDetails")] + public global::System.Collections.Generic.IList? ToolUsePromptTokensDetails { get; set; } /// /// Output only. Number of tokens of thoughts for thinking models.
@@ -62,17 +68,11 @@ public sealed partial class UsageMetadata public int? ThoughtsTokenCount { get; set; } /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - [global::System.Text.Json.Serialization.JsonPropertyName("promptTokenCount")] - public int? PromptTokenCount { get; set; } - - /// - /// Output only. 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; } /// /// Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.
@@ -97,15 +97,18 @@ public sealed partial class UsageMetadata /// /// Initializes a new instance of the class. /// + /// + /// Total token count for the generation request (prompt + response candidates). + /// /// /// Number of tokens in the cached part of the prompt (the cached content) /// - /// - /// Output only. List of modalities that were processed in the request input.
+ /// + /// Output only. List of modalities of the cached content in the request input.
/// Included only in responses /// - /// - /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// + /// Output only. List of modalities that were returned in the response.
/// Included only in responses /// /// @@ -115,22 +118,19 @@ public sealed partial class UsageMetadata /// 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.
- /// Included only in responses + /// + /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. /// - /// - /// Total token count for the generation request (prompt + response candidates). + /// + /// Output only. List of modalities that were processed for tool-use request inputs.
+ /// Included only in responses /// /// /// Output only. Number of tokens of thoughts for thinking models.
/// Included only in responses /// - /// - /// Number of tokens in the prompt. When `cached_content` is set, this is still the total effective prompt size meaning this includes the number of tokens in the cached content. - /// - /// - /// 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 /// /// @@ -145,29 +145,29 @@ public sealed partial class UsageMetadata [global::System.Diagnostics.CodeAnalysis.SetsRequiredMembers] #endif public UsageMetadata( + int? totalTokenCount, int? cachedContentTokenCount, - global::System.Collections.Generic.IList? promptTokensDetails, - global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + global::System.Collections.Generic.IList? cacheTokensDetails, + global::System.Collections.Generic.IList? candidatesTokensDetails, int? candidatesTokenCount, int? toolUsePromptTokenCount, - global::System.Collections.Generic.IList? cacheTokensDetails, - int? totalTokenCount, - int? thoughtsTokenCount, int? promptTokenCount, - global::System.Collections.Generic.IList? candidatesTokensDetails, + global::System.Collections.Generic.IList? toolUsePromptTokensDetails, + int? thoughtsTokenCount, + global::System.Collections.Generic.IList? promptTokensDetails, int? responseTokenCount, global::System.Collections.Generic.IList? responseTokensDetails) { + this.TotalTokenCount = totalTokenCount; this.CachedContentTokenCount = cachedContentTokenCount; - this.PromptTokensDetails = promptTokensDetails; - this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.CacheTokensDetails = cacheTokensDetails; + this.CandidatesTokensDetails = candidatesTokensDetails; this.CandidatesTokenCount = candidatesTokenCount; this.ToolUsePromptTokenCount = toolUsePromptTokenCount; - this.CacheTokensDetails = cacheTokensDetails; - this.TotalTokenCount = totalTokenCount; - this.ThoughtsTokenCount = thoughtsTokenCount; this.PromptTokenCount = promptTokenCount; - this.CandidatesTokensDetails = candidatesTokensDetails; + this.ToolUsePromptTokensDetails = toolUsePromptTokensDetails; + this.ThoughtsTokenCount = thoughtsTokenCount; + this.PromptTokensDetails = promptTokensDetails; this.ResponseTokenCount = responseTokenCount; this.ResponseTokensDetails = responseTokensDetails; } diff --git a/src/libs/Google.Gemini/openapi.json b/src/libs/Google.Gemini/openapi.json index 6983ea1df..404f50905 100644 --- a/src/libs/Google.Gemini/openapi.json +++ b/src/libs/Google.Gemini/openapi.json @@ -11,64 +11,15 @@ } ], "paths": { - "/tunedModels/{tunedModelsId}:batchGenerateContent": { - "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "tunedModels.batchGenerateContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } - } - } - } - } - } - }, - "/tunedModels": { + "/corpora": { "post": { - "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", - "operationId": "tunedModels.create", - "parameters": [ - { - "name": "tunedModelId", - "in": "query", - "description": "Optional. The unique id for the tuned model if specified. This value should be up to 40 characters, the first character must be a letter, the last could be a letter or a number. The id must match the regular expression: `[a-z]([a-z0-9-]{0,38}[a-z0-9])?`.", - "schema": { - "type": "string" - } - } - ], + "description": "Creates an empty `Corpus`.", + "operationId": "corpora.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Corpus" } } } @@ -79,7 +30,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Corpus" } } } @@ -87,21 +38,13 @@ } }, "get": { - "description": "Lists created tuned models.", - "operationId": "tunedModels.list", + "description": "Lists all `Corpora` owned by the user.", + "operationId": "corpora.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", - "schema": { - "type": "string" - } - }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", + "description": "Optional. The maximum number of `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" @@ -110,7 +53,7 @@ { "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 `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" } @@ -122,7 +65,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListTunedModelsResponse" + "$ref": "#/components/schemas/ListCorporaResponse" } } } @@ -130,58 +73,55 @@ } } }, - "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { - "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "tunedModels.asyncBatchEmbedContent", + "/corpora/{corporaId}": { + "get": { + "description": "Gets information about a specific `Corpus`.", + "operationId": "corpora.get", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Corpus" } } } } } - } - }, - "/tunedModels/{tunedModelsId}": { - "get": { - "description": "Gets information about a specific TunedModel.", - "operationId": "tunedModels.get", + }, + "delete": { + "description": "Deletes a `Corpus`.", + "operationId": "corpora.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `Corpus` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Corpus` contains any `Document`s.", + "schema": { + "type": "boolean" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -191,71 +131,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TunedModel" + "$ref": "#/components/schemas/Empty" } } } } } - }, - "patch": { - "description": "Updates a tuned model.", - "operationId": "tunedModels.patch", + } + }, + "/corpora/{corporaId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "corpora.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", - "schema": { - "type": "string", - "format": "google-fieldmask" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TunedModel" - } - } - } - } - } - }, - "delete": { - "description": "Deletes a tuned model.", - "operationId": "tunedModels.delete", - "parameters": [ - { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/operations/[^/]+$" } } ], @@ -265,7 +169,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -273,19 +177,19 @@ } } }, - "/tunedModels/{tunedModelsId}:streamGenerateContent": { + "/corpora/{corporaId}/permissions": { "post": { - "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", - "operationId": "tunedModels.streamGenerateContent", + "description": "Create a permission to a specific resource.", + "operationId": "corpora.permissions.create", "parameters": [ { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], @@ -293,7 +197,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/Permission" } } } @@ -304,51 +208,52 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}:transferOwnership": { - "post": { - "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", - "operationId": "tunedModels.transferOwnership", + }, + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "corpora.permissions.list", "parameters": [ { - "name": "tunedModelsId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/TransferOwnershipRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/TransferOwnershipResponse" + "$ref": "#/components/schemas/ListPermissionsResponse" } } } @@ -356,112 +261,27 @@ } } }, - "/tunedModels/{tunedModelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "tunedModels.generateContent", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - } - } - } - } - } - }, - "/tunedModels/{tunedModelsId}/permissions": { - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "tunedModels.permissions.create", + "/corpora/{corporaId}/permissions/{permissionsId}": { + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "corpora.permissions.get", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - } - } - }, - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "tunedModels.permissions.list", - "parameters": [ - { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", "schema": { "type": "string" } }, { - "name": "tunedModelsId", + "name": "corporaId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -471,21 +291,19 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Permission" } } } } } - } - }, - "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + }, "patch": { "description": "Updates the permission.", - "operationId": "tunedModels.permissions.patch", + "operationId": "corpora.permissions.patch", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -493,13 +311,13 @@ } }, { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } }, { @@ -534,48 +352,12 @@ } } }, - "get": { - "description": "Gets information about a specific Permission.", - "operationId": "tunedModels.permissions.get", - "parameters": [ - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "permissionsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - } - } - }, "delete": { "description": "Deletes the permission.", - "operationId": "tunedModels.permissions.delete", + "operationId": "corpora.permissions.delete", "parameters": [ { - "name": "tunedModelsId", + "name": "permissionsId", "in": "path", "required": true, "schema": { @@ -583,13 +365,13 @@ } }, { - "name": "permissionsId", + "name": "corporaId", "in": "path", "required": true, "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + "pattern": "^corpora/[^/]+/permissions/[^/]+$" } } ], @@ -607,33 +389,15 @@ } } }, - "/tunedModels/{tunedModelsId}/operations": { + "/generatedFiles": { "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "tunedModels.operations.list", + "description": "Lists the generated files owned by the requesting project.", + "operationId": "generatedFiles.list", "parameters": [ - { - "name": "filter", - "in": "query", - "description": "The standard list filter.", - "schema": { - "type": "string" - } - }, - { - "name": "tunedModelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^tunedModels/[^/]+$" - } - }, { "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" @@ -642,18 +406,10 @@ { "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": { @@ -662,7 +418,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListGeneratedFilesResponse" } } } @@ -670,13 +426,13 @@ } } }, - "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "/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": "tunedModels.operations.get", + "operationId": "generatedFiles.operations.get", "parameters": [ { - "name": "tunedModelsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -684,13 +440,13 @@ } }, { - "name": "operationsId", + "name": "generatedFilesId", "in": "path", "required": true, "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^tunedModels/[^/]+/operations/[^/]+$" + "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" } } ], @@ -708,26 +464,19 @@ } } }, - "/generatedFiles": { + "/fileSearchStores/{fileSearchStoresId}": { "get": { - "description": "Lists the generated files owned by the requesting project.", - "operationId": "generatedFiles.list", + "description": "Gets information about a specific `FileSearchStore`.", + "operationId": "fileSearchStores.get", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token from a previous `ListGeneratedFiles` call.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { - "type": "string" + "type": "string", + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -737,35 +486,33 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListGeneratedFilesResponse" + "$ref": "#/components/schemas/FileSearchStore" } } } } } - } - }, - "/generatedFiles/{generatedFilesId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "generatedFiles.operations.get", + }, + "delete": { + "description": "Deletes a `FileSearchStore`.", + "operationId": "fileSearchStores.delete", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "force", + "in": "query", + "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", "schema": { - "type": "string" + "type": "boolean" } }, { - "name": "generatedFilesId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^generatedFiles/[^/]+/operations/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], @@ -775,7 +522,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -783,15 +530,15 @@ } } }, - "/corpora": { + "/fileSearchStores": { "post": { - "description": "Creates an empty `Corpus`.", - "operationId": "corpora.create", + "description": "Creates an empty `FileSearchStore`.", + "operationId": "fileSearchStores.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -802,7 +549,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/FileSearchStore" } } } @@ -810,13 +557,13 @@ } }, "get": { - "description": "Lists all `Corpora` owned by the user.", - "operationId": "corpora.list", + "description": "Lists all `FileSearchStores` owned by the user.", + "operationId": "fileSearchStores.list", "parameters": [ { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Corpora` to return (per page). The service may return fewer `Corpora`. If unspecified, at most 10 `Corpora` will be returned. The maximum size limit is 20 `Corpora` per page.", + "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", "schema": { "type": "integer", "format": "int32" @@ -825,7 +572,7 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListCorpora` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListCorpora` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", "schema": { "type": "string" } @@ -837,7 +584,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCorporaResponse" + "$ref": "#/components/schemas/ListFileSearchStoresResponse" } } } @@ -845,55 +592,66 @@ } } }, - "/corpora/{corporaId}": { - "get": { - "description": "Gets information about a specific `Corpus`.", - "operationId": "corpora.get", + "/fileSearchStores/{fileSearchStoresId}:importFile": { + "post": { + "description": "Imports a `File` from File Service to a `FileSearchStore`.", + "operationId": "fileSearchStores.importFile", "parameters": [ { - "name": "corporaId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ImportFileRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Corpus" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes a `Corpus`.", - "operationId": "corpora.delete", + } + }, + "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "fileSearchStores.operations.get", "parameters": [ { - "name": "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": "operationsId", + "in": "path", + "required": true, "schema": { - "type": "boolean" + "type": "string" } }, { - "name": "corporaId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The resource name of the `Corpus`. Example: `corpora/my-corpus-123`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" } } ], @@ -903,7 +661,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -911,36 +669,35 @@ } } }, - "/corpora/{corporaId}/permissions": { - "get": { - "description": "Lists permissions for the specific resource.", - "operationId": "corpora.permissions.list", + "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { + "delete": { + "description": "Deletes a `Document`.", + "operationId": "fileSearchStores.documents.delete", "parameters": [ { - "name": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "name": "fileSearchStoresId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", + "name": "force", "in": "query", - "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", "schema": { - "type": "string" + "type": "boolean" } }, { - "name": "corporaId", + "name": "documentsId", "in": "path", "required": true, - "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], @@ -950,44 +707,43 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListPermissionsResponse" + "$ref": "#/components/schemas/Empty" } } } } } }, - "post": { - "description": "Create a permission to a specific resource.", - "operationId": "corpora.permissions.create", + "get": { + "description": "Gets information about a specific `Document`.", + "operationId": "fileSearchStores.documents.get", "parameters": [ { - "name": "corporaId", + "name": "fileSearchStoresId", "in": "path", "required": true, - "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", + "schema": { + "type": "string" + } + }, + { + "name": "documentsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", "schema": { "type": "string", - "pattern": "^corpora/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Document" } } } @@ -995,67 +751,60 @@ } } }, - "/corpora/{corporaId}/permissions/{permissionsId}": { - "patch": { - "description": "Updates the permission.", - "operationId": "corpora.permissions.patch", + "/fileSearchStores/{fileSearchStoresId}/documents": { + "get": { + "description": "Lists all `Document`s in a `Corpus`.", + "operationId": "fileSearchStores.documents.list", "parameters": [ { - "name": "permissionsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "corporaId", - "in": "path", - "required": true, - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^corpora/[^/]+/permissions/[^/]+$" + "type": "string" } }, { - "name": "updateMask", - "in": "query", - "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", + "name": "fileSearchStoresId", + "in": "path", + "required": true, + "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^fileSearchStores/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Permission" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/ListDocumentsResponse" } } } } } - }, + } + }, + "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { "get": { - "description": "Gets information about a specific Permission.", - "operationId": "corpora.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.upload.operations.get", "parameters": [ { - "name": "permissionsId", + "name": "operationsId", "in": "path", "required": true, "schema": { @@ -1063,13 +812,13 @@ } }, { - "name": "corporaId", + "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": "^corpora/[^/]+/permissions/[^/]+$" + "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" } } ], @@ -1079,43 +828,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Permission" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "delete": { - "description": "Deletes the permission.", - "operationId": "corpora.permissions.delete", + } + }, + "/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": "permissionsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "dynamicId", "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/[^/]+$" + "pattern": "^dynamic/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1123,37 +875,43 @@ } } }, - "/corpora/{corporaId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "corpora.operations.get", + "/dynamic/{dynamicId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "dynamic.streamGenerateContent", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "corporaId", + "name": "dynamicId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^corpora/[^/]+/operations/[^/]+$" + "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" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1161,15 +919,27 @@ } } }, - "/fileSearchStores": { + "/models/{modelsId}:embedContent": { "post": { - "description": "Creates an empty `FileSearchStore`.", - "operationId": "fileSearchStores.create", + "description": "Generates a text embedding vector from the input `Content` using the specified [Gemini Embedding model](https://ai.google.dev/gemini-api/docs/models/gemini#text-embedding).", + "operationId": "models.embedContent", + "parameters": [ + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/EmbedContentRequest" } } } @@ -1180,42 +950,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/EmbedContentResponse" } } } } } - }, - "get": { - "description": "Lists all `FileSearchStores` owned by the user.", - "operationId": "fileSearchStores.list", + } + }, + "/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": "pageSize", - "in": "query", - "description": "Optional. The maximum number of `FileSearchStores` to return (per page). The service may return fewer `FileSearchStores`. If unspecified, at most 10 `FileSearchStores` will be returned. The maximum size limit is 20 `FileSearchStores` per page.", - "schema": { - "type": "integer", - "format": "int32" - } - }, - { - "name": "pageToken", - "in": "query", - "description": "Optional. A page token, received from a previous `ListFileSearchStores` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListFileSearchStores` must match the call that provided the page token.", + "name": "modelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFileSearchStoresResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1223,19 +997,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}": { + "/models/{modelsId}": { "get": { - "description": "Gets information about a specific `FileSearchStore`.", - "operationId": "fileSearchStores.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": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `FileSearchStore`. Example: `fileSearchStores/my-file-search-store-123`", + "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": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1245,43 +1019,46 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Model" } } } } } - }, - "delete": { - "description": "Deletes a `FileSearchStore`.", - "operationId": "fileSearchStores.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": "force", - "in": "query", - "description": "Optional. If set to true, any `Document`s and objects related to this `FileSearchStore` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `FileSearchStore` contains any `Document`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The resource name of the `FileSearchStore`. 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/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/CountTokensRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/CountTokensResponse" } } } @@ -1289,19 +1066,19 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}:importFile": { + "/models/{modelsId}:generateContent": { "post": { - "description": "Imports a `File` from File Service to a `FileSearchStore`.", - "operationId": "fileSearchStores.importFile", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "models.generateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. Immutable. The name of the `FileSearchStore` to import the file into. Example: `fileSearchStores/my-file-search-store-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "pattern": "^models/[^/]+$" } } ], @@ -1309,7 +1086,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ImportFileRequest" + "$ref": "#/components/schemas/GenerateContentRequest" } } } @@ -1320,7 +1097,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentResponse" } } } @@ -1328,27 +1105,26 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/upload/operations/{operationsId}": { + "/models": { "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.upload.operations.get", + "description": "Lists the [`Model`s](https://ai.google.dev/gemini-api/docs/models/gemini) available through the Gemini API.", + "operationId": "models.list", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, + "name": "pageSize", + "in": "query", + "description": "The maximum number of `Models` to return (per page). If unspecified, 50 models will be returned per page. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { - "type": "string" + "type": "integer", + "format": "int32" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", + "name": "pageToken", + "in": "query", + "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+/upload/operations/[^/]+$" + "type": "string" } } ], @@ -1358,7 +1134,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/ListModelsResponse" } } } @@ -1366,37 +1142,38 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "fileSearchStores.operations.get", + "/models/{modelsId}:batchEmbedContents": { + "post": { + "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", + "operationId": "models.batchEmbedContents", "parameters": [ { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/operations/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchEmbedContentsRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/BatchEmbedContentsResponse" } } } @@ -1404,81 +1181,82 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents/{documentsId}": { - "get": { - "description": "Gets information about a specific `Document`.", - "operationId": "fileSearchStores.documents.get", + "/models/{modelsId}:streamGenerateContent": { + "post": { + "description": "Generates a [streamed response](https://ai.google.dev/gemini-api/docs/text-generation?lang=python#generate-a-text-stream) from the model given an input `GenerateContentRequest`.", + "operationId": "models.streamGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "documentsId", + "name": "modelsId", "in": "path", "required": true, - "description": "Required. The name of the `Document` to retrieve. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Document" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, - "delete": { - "description": "Deletes a `Document`.", - "operationId": "fileSearchStores.documents.delete", + } + }, + "/models/{modelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "models.batchGenerateContent", "parameters": [ { - "name": "fileSearchStoresId", + "name": "modelsId", "in": "path", "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "force", - "in": "query", - "description": "Optional. If set to true, any `Chunk`s and objects related to this `Document` will also be deleted. If false (the default), a `FAILED_PRECONDITION` error will be returned if `Document` contains any `Chunk`s.", - "schema": { - "type": "boolean" - } - }, - { - "name": "documentsId", - "in": "path", - "required": true, - "description": "Required. The resource name of the `Document` to delete. Example: `fileSearchStores/my-file-search-store-123/documents/the-doc-abc`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^fileSearchStores/[^/]+/documents/[^/]+$" + "pattern": "^models/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/BatchGenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } @@ -1486,15 +1264,33 @@ } } }, - "/fileSearchStores/{fileSearchStoresId}/documents": { + "/models/{modelsId}/operations": { "get": { - "description": "Lists all `Document`s in a `Corpus`.", - "operationId": "fileSearchStores.documents.list", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "models.operations.list", "parameters": [ + { + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "modelsId", + "in": "path", + "required": true, + "description": "The name of the operation's parent resource.", + "schema": { + "type": "string", + "pattern": "^models/[^/]+$" + } + }, { "name": "pageSize", "in": "query", - "description": "Optional. The maximum number of `Document`s to return (per page). The service may return fewer `Document`s. If unspecified, at most 10 `Document`s will be returned. The maximum size limit is 20 `Document`s per page.", + "description": "The standard list page size.", "schema": { "type": "integer", "format": "int32" @@ -1503,19 +1299,17 @@ { "name": "pageToken", "in": "query", - "description": "Optional. A page token, received from a previous `ListDocuments` call. Provide the `next_page_token` returned in the response as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListDocuments` must match the call that provided the page token.", + "description": "The standard list page token.", "schema": { "type": "string" } }, { - "name": "fileSearchStoresId", - "in": "path", - "required": true, - "description": "Required. The name of the `FileSearchStore` containing `Document`s. Example: `fileSearchStores/my-file-search-store-123`", + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", "schema": { - "type": "string", - "pattern": "^fileSearchStores/[^/]+$" + "type": "boolean" } } ], @@ -1525,7 +1319,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListDocumentsResponse" + "$ref": "#/components/schemas/ListOperationsResponse" } } } @@ -1533,38 +1327,37 @@ } } }, - "/models/{modelsId}:generateContent": { - "post": { - "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", - "operationId": "models.generateContent", + "/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": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^models/[^/]+/operations/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Operation" } } } @@ -1572,19 +1365,28 @@ } } }, - "/models/{modelsId}:batchEmbedContents": { - "post": { - "description": "Generates multiple embedding vectors from the input `Content` which consists of a batch of strings represented as `EmbedContentRequest` objects.", - "operationId": "models.batchEmbedContents", + "/cachedContents/{cachedContentsId}": { + "patch": { + "description": "Updates CachedContent resource (only expiration is updatable).", + "operationId": "cachedContents.patch", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1592,7 +1394,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1603,46 +1405,63 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/BatchEmbedContentsResponse" + "$ref": "#/components/schemas/CachedContent" } } } } } - } - }, - "/models/{modelsId}:countTokens": { - "post": { - "description": "Runs a model's tokenizer on input `Content` and returns the token count. Refer to the [tokens guide](https://ai.google.dev/gemini-api/docs/tokens) to learn more about tokens.", - "operationId": "models.countTokens", + }, + "delete": { + "description": "Deletes CachedContent resource.", + "operationId": "cachedContents.delete", "parameters": [ { - "name": "modelsId", + "name": "cachedContentsId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^cachedContents/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CountTokensRequest" + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } } } } - }, + } + }, + "get": { + "description": "Reads CachedContent resource.", + "operationId": "cachedContents.get", + "parameters": [ + { + "name": "cachedContentsId", + "in": "path", + "required": true, + "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "schema": { + "type": "string", + "pattern": "^cachedContents/[^/]+$" + } + } + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CountTokensResponse" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1650,15 +1469,15 @@ } } }, - "/models": { + "/cachedContents": { "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 CachedContents.", + "operationId": "cachedContents.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 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" @@ -1667,7 +1486,7 @@ { "name": "pageToken", "in": "query", - "description": "A page token, received from a previous `ListModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListModels` must match the call that provided the page token.", + "description": "Optional. A page token, received from a previous `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" } @@ -1679,35 +1498,21 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListModelsResponse" + "$ref": "#/components/schemas/ListCachedContentsResponse" } } } } } - } - }, - "/models/{modelsId}:asyncBatchEmbedContent": { + }, "post": { - "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", - "operationId": "models.asyncBatchEmbedContent", - "parameters": [ - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - } - ], + "description": "Creates CachedContent resource.", + "operationId": "cachedContents.create", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1718,7 +1523,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/CachedContent" } } } @@ -1726,38 +1531,29 @@ } } }, - "/models/{modelsId}:batchGenerateContent": { + "/batches/{batchesId}:cancel": { "post": { - "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", - "operationId": "models.batchGenerateContent", + "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", + "operationId": "batches.cancel", "parameters": [ { - "name": "modelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be cancelled.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/BatchGenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/Empty" } } } @@ -1765,63 +1561,47 @@ } } }, - "/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", + "/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": "modelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "description": "The name of the operation resource to be deleted.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } - } - } - }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/Empty" } } } } } - } - }, - "/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", + "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": "modelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The resource name of the model. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^batches/[^/]+$" } } ], @@ -1831,7 +1611,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Model" + "$ref": "#/components/schemas/Operation" } } } @@ -1839,19 +1619,28 @@ } } }, - "/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", + "/batches/{batchesId}:updateGenerateContentBatch": { + "patch": { + "description": "Updates a batch of GenerateContent requests for batch processing.", + "operationId": "batches.updateGenerateContentBatch", "parameters": [ { - "name": "modelsId", + "name": "batchesId", "in": "path", "required": true, - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "schema": { "type": "string", - "pattern": "^models/[^/]+$" + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" } } ], @@ -1859,7 +1648,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentRequest" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1870,45 +1659,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentResponse" - } - } - } - } - } - } - }, - "/models/{modelsId}/operations/{operationsId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "models.operations.get", - "parameters": [ - { - "name": "operationsId", - "in": "path", - "required": true, - "schema": { - "type": "string" - } - }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+/operations/[^/]+$" - } - } - ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" + "$ref": "#/components/schemas/GenerateContentBatch" } } } @@ -1916,10 +1667,10 @@ } } }, - "/models/{modelsId}/operations": { + "/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": "models.operations.list", + "operationId": "batches.list", "parameters": [ { "name": "filter", @@ -1929,16 +1680,6 @@ "type": "string" } }, - { - "name": "modelsId", - "in": "path", - "required": true, - "description": "The name of the operation's parent resource.", - "schema": { - "type": "string", - "pattern": "^models/[^/]+$" - } - }, { "name": "pageSize", "in": "query", @@ -1979,15 +1720,36 @@ } } }, - "/files:register": { - "post": { - "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", - "operationId": "files.register", + "/batches/{batchesId}:updateEmbedContentBatch": { + "patch": { + "description": "Updates a batch of EmbedContent requests for batch processing.", + "operationId": "batches.updateEmbedContentBatch", + "parameters": [ + { + "name": "batchesId", + "in": "path", + "required": true, + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", + "schema": { + "type": "string", + "pattern": "^batches/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesRequest" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -1998,7 +1760,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/RegisterFilesResponse" + "$ref": "#/components/schemas/EmbedContentBatch" } } } @@ -2006,47 +1768,63 @@ } } }, - "/files/{filesId}": { - "get": { - "description": "Gets the metadata for the given `File`.", - "operationId": "files.get", + "/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": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/File" + "$ref": "#/components/schemas/GenerateContentResponse" + } + }, + "text/event-stream": { + "schema": { + "$ref": "#/components/schemas/GenerateContentResponse" } } } } } - }, + } + }, + "/tunedModels/{tunedModelsId}": { "delete": { - "description": "Deletes the `File`.", - "operationId": "files.delete", + "description": "Deletes a tuned model.", + "operationId": "tunedModels.delete", "parameters": [ { - "name": "filesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "description": "Required. The resource name of the model. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^files/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2062,28 +1840,19 @@ } } } - } - }, - "/files": { + }, "get": { - "description": "Lists the metadata for `File`s owned by the requesting project.", - "operationId": "files.list", + "description": "Gets information about a specific TunedModel.", + "operationId": "tunedModels.get", "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": "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/[^/]+$" } } ], @@ -2093,21 +1862,42 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListFilesResponse" + "$ref": "#/components/schemas/TunedModel" } } } } } }, - "post": { - "description": "Creates a `File`.", - "operationId": "media.upload", + "patch": { + "description": "Updates a tuned model.", + "operationId": "tunedModels.patch", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "updateMask", + "in": "query", + "description": "Optional. The list of fields to update.", + "schema": { + "type": "string", + "format": "google-fieldmask" + } + } + ], "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileRequest" + "$ref": "#/components/schemas/TunedModel" } } } @@ -2118,7 +1908,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CreateFileResponse" + "$ref": "#/components/schemas/TunedModel" } } } @@ -2126,23 +1916,62 @@ } } }, - "/batches": { - "get": { - "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", - "operationId": "batches.list", + "/tunedModels/{tunedModelsId}:asyncBatchEmbedContent": { + "post": { + "description": "Enqueues a batch of `EmbedContent` requests for batch processing. We have a `BatchEmbedContents` handler in `GenerativeService`, but it was synchronized. So we name this one to be `Async` to avoid confusion.", + "operationId": "tunedModels.asyncBatchEmbedContent", "parameters": [ { - "name": "filter", - "in": "query", - "description": "The standard list filter.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { - "type": "string" + "type": "string", + "pattern": "^tunedModels/[^/]+$" + } + } + ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/AsyncBatchEmbedContentRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Operation" + } + } + } + } + } + } + }, + "/tunedModels": { + "get": { + "description": "Lists created tuned models.", + "operationId": "tunedModels.list", + "parameters": [ + { + "name": "filter", + "in": "query", + "description": "Optional. A filter is a full text search over the tuned model's description and display name. By default, results will not include tuned models shared with everyone. Additional operators: - owner:me - writers:me - readers:me - readers:everyone Examples: \"owner:me\" returns all tuned models to which caller has owner role \"readers:me\" returns all tuned models to which caller has reader role \"readers:everyone\" returns all tuned models that are shared with everyone", + "schema": { + "type": "string" } }, { "name": "pageSize", "in": "query", - "description": "The standard list page size.", + "description": "Optional. The maximum number of `TunedModels` to return (per page). The service may return fewer tuned models. If unspecified, at most 10 tuned models will be returned. This method returns at most 1000 models per page, even if you pass a larger page_size.", "schema": { "type": "integer", "format": "int32" @@ -2151,18 +1980,10 @@ { "name": "pageToken", "in": "query", - "description": "The standard list page token.", + "description": "Optional. A page token, received from a previous `ListTunedModels` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListTunedModels` must match the call that provided the page token.", "schema": { "type": "string" } - }, - { - "name": "returnPartialSuccess", - "in": "query", - "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", - "schema": { - "type": "boolean" - } } ], "responses": { @@ -2171,36 +1992,23 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListOperationsResponse" + "$ref": "#/components/schemas/ListTunedModelsResponse" } } } } } - } - }, - "/batches/{batchesId}:updateGenerateContentBatch": { - "patch": { - "description": "Updates a batch of GenerateContent requests for batch processing.", - "operationId": "batches.updateGenerateContentBatch", + }, + "post": { + "description": "Creates a tuned model. Check intermediate tuning progress (if any) through the [google.longrunning.Operations] service. Access status and results through the Operations service. Example: GET /v1/tunedModels/az2mb0bpw6i/operations/000-111-222", + "operationId": "tunedModels.create", "parameters": [ { - "name": "batchesId", - "in": "path", - "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", + "name": "tunedModelId", "in": "query", - "description": "Optional. The list of fields to update.", + "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", - "format": "google-fieldmask" + "type": "string" } } ], @@ -2208,7 +2016,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/TunedModel" } } } @@ -2219,7 +2027,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -2227,57 +2035,38 @@ } } }, - "/batches/{batchesId}": { - "get": { - "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", - "operationId": "batches.get", + "/tunedModels/{tunedModelsId}:transferOwnership": { + "post": { + "description": "Transfers ownership of the tuned model. This is the only way to change ownership of the tuned model. The current owner will be downgraded to writer role.", + "operationId": "tunedModels.transferOwnership", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource.", + "description": "Required. The resource name of the tuned model to transfer ownership. Format: `tunedModels/my-model-id`", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } } ], - "responses": { - "200": { - "description": "Successful response", - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/Operation" - } + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/TransferOwnershipRequest" } } } - } - }, - "delete": { - "description": "Deletes a long-running operation. This method indicates that the client is no longer interested in the operation result. It does not cancel the operation. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`.", - "operationId": "batches.delete", - "parameters": [ - { - "name": "batchesId", - "in": "path", - "required": true, - "description": "The name of the operation resource to be deleted.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - } - ], + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/TransferOwnershipResponse" } } } @@ -2285,29 +2074,38 @@ } } }, - "/batches/{batchesId}:cancel": { + "/tunedModels/{tunedModelsId}:generateContent": { "post": { - "description": "Starts asynchronous cancellation on a long-running operation. The server makes a best effort to cancel the operation, but success is not guaranteed. If the server doesn't support this method, it returns `google.rpc.Code.UNIMPLEMENTED`. Clients can use Operations.GetOperation or other methods to check whether the cancellation succeeded or whether the operation completed despite cancellation. On successful cancellation, the operation is not deleted; instead, it becomes an operation with an Operation.error value with a google.rpc.Status.code of `1`, corresponding to `Code.CANCELLED`.", - "operationId": "batches.cancel", + "description": "Generates a model response given an input `GenerateContentRequest`. Refer to the [text generation guide](https://ai.google.dev/gemini-api/docs/text-generation) for detailed usage information. Input capabilities differ between models, including tuned models. Refer to the [model guide](https://ai.google.dev/gemini-api/docs/models/gemini) and [tuning guide](https://ai.google.dev/gemini-api/docs/model-tuning) for details.", + "operationId": "tunedModels.generateContent", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "The name of the operation resource to be cancelled.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "pattern": "^batches/[^/]+$" + "pattern": "^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" } } } @@ -2315,28 +2113,19 @@ } } }, - "/batches/{batchesId}:updateEmbedContentBatch": { - "patch": { - "description": "Updates a batch of EmbedContent requests for batch processing.", - "operationId": "batches.updateEmbedContentBatch", + "/tunedModels/{tunedModelsId}:batchGenerateContent": { + "post": { + "description": "Enqueues a batch of `GenerateContent` requests for batch processing.", + "operationId": "tunedModels.batchGenerateContent", "parameters": [ { - "name": "batchesId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", - "schema": { - "type": "string", - "pattern": "^batches/[^/]+$" - } - }, - { - "name": "updateMask", - "in": "query", - "description": "Optional. The list of fields to update.", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2344,7 +2133,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/BatchGenerateContentRequest" } } } @@ -2355,7 +2144,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/EmbedContentBatch" + "$ref": "#/components/schemas/Operation" } } } @@ -2363,19 +2152,52 @@ } } }, - "/cachedContents/{cachedContentsId}": { + "/tunedModels/{tunedModelsId}/operations": { "get": { - "description": "Reads CachedContent resource.", - "operationId": "cachedContents.get", + "description": "Lists operations that match the specified filter in the request. If the server doesn't support this method, it returns `UNIMPLEMENTED`.", + "operationId": "tunedModels.operations.list", "parameters": [ { - "name": "cachedContentsId", + "name": "filter", + "in": "query", + "description": "The standard list filter.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry. Format: `cachedContents/{id}`", + "description": "The name of the operation's parent resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" + } + }, + { + "name": "pageSize", + "in": "query", + "description": "The standard list page size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "The standard list page token.", + "schema": { + "type": "string" + } + }, + { + "name": "returnPartialSuccess", + "in": "query", + "description": "When set to `true`, operations that are reachable are returned as normal, and those that are unreachable are returned in the ListOperationsResponse.unreachable field. This can only be `true` when reading across collections. For example, when `parent` is set to `\"projects/example/locations/-\"`. This field is not supported by default and will result in an `UNIMPLEMENTED` error if set unless explicitly documented otherwise in service or product specific documentation.", + "schema": { + "type": "boolean" } } ], @@ -2385,25 +2207,35 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/ListOperationsResponse" } } } } } - }, - "delete": { - "description": "Deletes CachedContent resource.", - "operationId": "cachedContents.delete", + } + }, + "/tunedModels/{tunedModelsId}/operations/{operationsId}": { + "get": { + "description": "Gets the latest state of a long-running operation. Clients can use this method to poll the operation result at intervals as recommended by the API service.", + "operationId": "tunedModels.operations.get", "parameters": [ { - "name": "cachedContentsId", + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Required. The resource name referring to the content cache entry Format: `cachedContents/{id}`", + "schema": { + "type": "string" + } + }, + { + "name": "operationsId", + "in": "path", + "required": true, + "description": "The name of the operation resource.", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+/operations/[^/]+$" } } ], @@ -2413,34 +2245,72 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/Empty" + "$ref": "#/components/schemas/Operation" } } } } } - }, - "patch": { - "description": "Updates CachedContent resource (only expiration is updatable).", - "operationId": "cachedContents.patch", + } + }, + "/tunedModels/{tunedModelsId}/permissions": { + "get": { + "description": "Lists permissions for the specific resource.", + "operationId": "tunedModels.permissions.list", "parameters": [ { - "name": "cachedContentsId", + "name": "pageSize", + "in": "query", + "description": "Optional. The maximum number of `Permission`s to return (per page). The service may return fewer permissions. If unspecified, at most 10 permissions will be returned. This method returns at most 1000 permissions per page, even if you pass larger page_size.", + "schema": { + "type": "integer", + "format": "int32" + } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token, received from a previous `ListPermissions` call. Provide the `page_token` returned by one request as an argument to the next request to retrieve the next page. When paginating, all other parameters provided to `ListPermissions` must match the call that provided the page token.", + "schema": { + "type": "string" + } + }, + { + "name": "tunedModelsId", "in": "path", "required": true, - "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`", + "description": "Required. The parent resource of the permissions. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "pattern": "^cachedContents/[^/]+$" + "pattern": "^tunedModels/[^/]+$" } - }, + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/ListPermissionsResponse" + } + } + } + } + } + }, + "post": { + "description": "Create a permission to a specific resource.", + "operationId": "tunedModels.permissions.create", + "parameters": [ { - "name": "updateMask", - "in": "query", - "description": "The list of fields to update.", + "name": "tunedModelsId", + "in": "path", + "required": true, + "description": "Required. The parent resource of the `Permission`. Formats: `tunedModels/{tuned_model}` `corpora/{corpus}`", "schema": { "type": "string", - "format": "google-fieldmask" + "pattern": "^tunedModels/[^/]+$" } } ], @@ -2448,7 +2318,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -2459,7 +2329,7 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -2467,61 +2337,127 @@ } } }, - "/cachedContents": { - "get": { - "description": "Lists CachedContents.", - "operationId": "cachedContents.list", + "/tunedModels/{tunedModelsId}/permissions/{permissionsId}": { + "patch": { + "description": "Updates the permission.", + "operationId": "tunedModels.permissions.patch", "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.", + "name": "tunedModelsId", + "in": "path", + "required": true, "schema": { - "type": "integer", - "format": "int32" + "type": "string" } }, { - "name": "pageToken", + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + }, + { + "name": "updateMask", "in": "query", - "description": "Optional. A page token, received from a previous `ListCachedContents` call. Provide this to retrieve the subsequent page. When paginating, all other parameters provided to `ListCachedContents` must match the call that provided the page token.", + "description": "Required. The list of fields to update. Accepted ones: - role (`Permission.role` field)", "schema": { - "type": "string" + "type": "string", + "format": "google-fieldmask" } } ], + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Permission" + } + } + } + }, "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/ListCachedContentsResponse" + "$ref": "#/components/schemas/Permission" } } } } } }, - "post": { - "description": "Creates CachedContent resource.", - "operationId": "cachedContents.create", - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/CachedContent" + "delete": { + "description": "Deletes the permission.", + "operationId": "tunedModels.permissions.delete", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } } } } - }, + } + }, + "get": { + "description": "Gets information about a specific Permission.", + "operationId": "tunedModels.permissions.get", + "parameters": [ + { + "name": "tunedModelsId", + "in": "path", + "required": true, + "schema": { + "type": "string" + } + }, + { + "name": "permissionsId", + "in": "path", + "required": true, + "description": "Required. The resource name of the permission. Formats: `tunedModels/{tuned_model}/permissions/{permission}` `corpora/{corpus}/permissions/{permission}`", + "schema": { + "type": "string", + "pattern": "^tunedModels/[^/]+/permissions/[^/]+$" + } + } + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/CachedContent" + "$ref": "#/components/schemas/Permission" } } } @@ -2568,27 +2504,15 @@ } } }, - "/dynamic/{dynamicId}:streamGenerateContent": { + "/files": { "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/[^/]+$" - } - } - ], + "description": "Creates a `File`.", + "operationId": "media.upload", "requestBody": { "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" + "$ref": "#/components/schemas/CreateFileRequest" } } } @@ -2599,2424 +2523,2539 @@ "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" - } - }, - "text/event-stream": { - "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/CreateFileResponse" } } } } } - } - }, - "/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", + }, + "get": { + "description": "Lists the metadata for `File`s owned by the requesting project.", + "operationId": "files.list", "parameters": [ { - "name": "dynamicId", - "in": "path", - "required": true, - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "name": "pageSize", + "in": "query", + "description": "Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.", "schema": { - "type": "string", - "pattern": "^dynamic/[^/]+$" + "type": "integer", + "format": "int32" } - } - ], - "requestBody": { - "content": { - "application/json": { - "schema": { - "$ref": "#/components/schemas/GenerateContentRequest" - } + }, + { + "name": "pageToken", + "in": "query", + "description": "Optional. A page token from a previous `ListFiles` call.", + "schema": { + "type": "string" } } - }, + ], "responses": { "200": { "description": "Successful response", "content": { "application/json": { "schema": { - "$ref": "#/components/schemas/GenerateContentResponse" + "$ref": "#/components/schemas/ListFilesResponse" } } } } } } - } - }, - "components": { - "schemas": { - "InlinedEmbedContentRequests": { - "type": "object", - "properties": { - "requests": { - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentRequest" - }, - "type": "array" + }, + "/files/{filesId}": { + "get": { + "description": "Gets the metadata for the given `File`.", + "operationId": "files.get", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to get. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" + } } - }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request." + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/File" + } + } + } + } + } }, - "RetrievedContext": { - "description": "Chunk from context retrieved by the file search tool.", + "delete": { + "description": "Deletes the `File`.", + "operationId": "files.delete", + "parameters": [ + { + "name": "filesId", + "in": "path", + "required": true, + "description": "Required. The name of the `File` to delete. Example: `files/abc-123`", + "schema": { + "type": "string", + "pattern": "^files/[^/]+$" + } + } + ], + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/Empty" + } + } + } + } + } + } + }, + "/files:register": { + "post": { + "description": "Registers a Google Cloud Storage files with FileService. The user is expected to provide Google Cloud Storage URIs and will receive a File resource for each URI in return. Note that the files are not copied, just registered with File API. If one file fails to register, the whole request fails.", + "operationId": "files.register", + "requestBody": { + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesRequest" + } + } + } + }, + "responses": { + "200": { + "description": "Successful response", + "content": { + "application/json": { + "schema": { + "$ref": "#/components/schemas/RegisterFilesResponse" + } + } + } + } + } + } + } + }, + "components": { + "schemas": { + "FileData": { "type": "object", + "description": "URI based data.", "properties": { - "text": { - "description": "Optional. Text of the chunk.", - "type": "string" - }, - "pageNumber": { - "type": "integer", - "format": "int32", - "description": "Optional. Page number of the retrieved context, if applicable." + "mimeType": { + "type": "string", + "description": "Optional. The IANA standard MIME type of the source data." }, - "title": { - "description": "Optional. Title of the document.", + "fileUri": { + "description": "Required. URI.", "type": "string" + } + } + }, + "ChunkingConfig": { + "type": "object", + "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "properties": { + "whiteSpaceConfig": { + "description": "White space chunking configuration.", + "$ref": "#/components/schemas/WhiteSpaceConfig" + } + } + }, + "InlinedRequest": { + "description": "The request to be processed in the batch.", + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/GenerateContentRequest" }, - "customMetadata": { + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + }, + "type": "object" + }, + "StringList": { + "description": "User provided string values assigned to a single metadata key.", + "properties": { + "values": { + "description": "The string values of the metadata to store.", "type": "array", - "description": "Optional. User-provided metadata about the retrieved context.", "items": { - "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + "type": "string" } - }, - "mediaId": { - "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}", + } + }, + "type": "object" + }, + "ImportFileRequest": { + "type": "object", + "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "properties": { + "fileName": { + "description": "Required. The name of the `File` to import. Example: `files/abc-123`", "type": "string" }, - "fileSearchStore": { - "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`", - "type": "string" + "chunkingConfig": { + "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters.", + "$ref": "#/components/schemas/ChunkingConfig" }, - "uri": { - "description": "Optional. URI reference of the semantic retrieval document.", - "type": "string" + "customMetadata": { + "description": "Custom metadata to be associated with the file.", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "type": "array" } } }, - "UsageMetadata": { + "CitationSource": { + "description": "A citation to a source for a portion of a specific response.", "properties": { - "cachedContentTokenCount": { + "uri": { + "description": "Optional. URI that is attributed as a source for a portion of the text.", + "type": "string" + }, + "startIndex": { "type": "integer", + "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", + "format": "int32" + }, + "endIndex": { "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)" + "description": "Optional. End of the attributed segment, exclusive.", + "type": "integer" }, - "promptTokensDetails": { - "description": "Output only. List of modalities that were processed in the request input.", + "license": { + "type": "string", + "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations." + } + }, + "type": "object" + }, + "ContentEmbedding": { + "description": "A list of floats representing an embedding.", + "properties": { + "values": { + "type": "array", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "type": "number", + "format": "float" }, - "readOnly": true, - "type": "array" + "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls." }, - "toolUsePromptTokensDetails": { - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were processed for tool-use request inputs.", + "shape": { + "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "candidatesTokenCount": { - "type": "integer", + "type": "integer", + "format": "int32" + }, + "type": "array" + } + }, + "type": "object" + }, + "EmbeddingUsageMetadata": { + "type": "object", + "description": "Metadata on the usage of the embedding request.", + "properties": { + "promptTokenCount": { "format": "int32", - "description": "Total number of tokens across all the generated response candidates." - }, - "toolUsePromptTokenCount": { + "description": "Output only. Number of tokens in the prompt.", "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens present in tool-use prompt(s)." + "type": "integer" }, - "cacheTokensDetails": { - "description": "Output only. List of modalities of the cached content in the request input.", + "promptTokenDetails": { + "description": "Output only. List of modalities that were processed in the request input.", "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, "readOnly": true, "type": "array" + } + } + }, + "SemanticRetrieverChunk": { + "type": "object", + "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`.", + "properties": { + "chunk": { + "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`", + "readOnly": true, + "type": "string" }, - "totalTokenCount": { + "source": { + "description": "Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora/123` or `corpora/123/documents/abc`", + "readOnly": true, + "type": "string" + } + } + }, + "CountTokensResponse": { + "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`.", + "properties": { + "cachedContentTokenCount": { "type": "integer", "format": "int32", - "description": "Total token count for the generation request (prompt + response candidates)." + "description": "Number of tokens in the cached part of the prompt (the cached content)." }, - "thoughtsTokenCount": { + "cacheTokensDetails": { "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens of thoughts for thinking models." + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed in the cached content." }, - "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.", + "totalTokens": { "type": "integer", + "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", "format": "int32" }, - "candidatesTokensDetails": { - "description": "Output only. List of modalities that were returned in the response.", + "promptTokensDetails": { "items": { "$ref": "#/components/schemas/ModalityTokenCount" }, "readOnly": true, - "type": "array" + "type": "array", + "description": "Output only. List of modalities that were processed in the request input." + } + }, + "type": "object" + }, + "Hyperparameters": { + "type": "object", + "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance", + "properties": { + "learningRateMultiplier": { + "format": "float", + "description": "Optional. Immutable. The learning rate multiplier is used to calculate a final learning_rate based on the default (recommended) value. Actual learning rate := learning_rate_multiplier * default learning rate Default learning rate is dependent on base model and dataset size. If not set, a default of 1.0 will be used.", + "type": "number" }, - "responseTokenCount": { - "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", - "type": "integer", + "epochCount": { + "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used.", "format": "int32", - "readOnly": true + "type": "integer" }, - "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.", + "batchSize": { + "format": "int32", + "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples.", + "type": "integer" + }, + "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." + } + } + }, + "InlinedRequests": { + "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", - "readOnly": true, "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/InlinedRequest" } } }, - "type": "object", - "description": "Metadata on the generation request's token usage." + "type": "object" }, - "SafetyRating": { - "description": "Safety rating for a piece of content. The safety rating contains the category of harm and the harm probability level in that category for a piece of content. Content is classified for safety across a number of harm categories and the probability of the harm classification is included here.", + "InlinedResponse": { "type": "object", + "description": "The response to a single request in the batch.", "properties": { - "blocked": { - "description": "Was this content blocked because of this rating?", - "type": "boolean" + "error": { + "readOnly": true, + "$ref": "#/components/schemas/Status", + "description": "Output only. The error encountered while processing the request." }, - "category": { - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "type": "string", - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "description": "Required. The category for this rating.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ] + "response": { + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentResponse", + "description": "Output only. The response to the request." }, - "probability": { + "metadata": { + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + } + }, + "ListTunedModelsResponse": { + "type": "object", + "description": "Response from `ListTunedModels` containing a paginated list of Models.", + "properties": { + "tunedModels": { + "items": { + "$ref": "#/components/schemas/TunedModel" + }, + "type": "array", + "description": "The returned Models." + }, + "nextPageToken": { "type": "string", - "description": "Required. The probability of harm for this content.", - "enum": [ - "HARM_PROBABILITY_UNSPECIFIED", - "NEGLIGIBLE", - "LOW", - "MEDIUM", - "HIGH" - ], - "x-enum-descriptions": [ - "Probability is unspecified.", - "Content has a negligible chance of being unsafe.", - "Content has a low chance of being unsafe.", - "Content has a medium chance of being unsafe.", - "Content has a high chance of being unsafe." - ] + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } } }, - "DynamicRetrievalConfig": { - "description": "Describes the options to customize dynamic retrieval.", + "GenerateContentRequest": { + "description": "Request to generate a completion from the model.", "properties": { - "dynamicThreshold": { - "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", - "type": "number", - "format": "float" + "model": { + "type": "string", + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`." }, - "mode": { + "store": { + "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", + "type": "boolean" + }, + "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}`" + }, + "generationConfig": { + "$ref": "#/components/schemas/GenerationConfig", + "description": "Optional. Configuration options for model generation and outputs." + }, + "contents": { + "items": { + "$ref": "#/components/schemas/Content" + }, + "type": "array", + "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request." + }, + "systemInstruction": { + "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only.", + "$ref": "#/components/schemas/Content" + }, + "toolConfig": { + "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", + "$ref": "#/components/schemas/ToolConfig" + }, + "safetySettings": { + "items": { + "$ref": "#/components/schemas/SafetySetting" + }, + "type": "array", + "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications." + }, + "tools": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Tool" + }, + "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." + }, + "serviceTier": { "type": "string", - "description": "The mode of the predictor to be used in dynamic retrieval.", - "enum": [ - "MODE_UNSPECIFIED", - "MODE_DYNAMIC" - ], "x-enum-descriptions": [ - "Always trigger retrieval.", - "Run retrieval only when system decides it is necessary." + "Default service tier, which is standard.", + "Standard service tier.", + "Flex service tier.", + "Priority service tier." + ], + "description": "Optional. The service tier of the request.", + "enum": [ + "unspecified", + "standard", + "flex", + "priority" ] } }, "type": "object" }, - "UrlContext": { - "type": "object", - "properties": {}, - "description": "Tool to support URL context retrieval." + "InlinedResponses": { + "description": "The responses to the requests in the batch.", + "properties": { + "inlinedResponses": { + "description": "Output only. The responses to the requests in the batch.", + "items": { + "$ref": "#/components/schemas/InlinedResponse" + }, + "readOnly": true, + "type": "array" + } + }, + "type": "object" }, - "CitationSource": { - "description": "A citation to a source for a portion of a specific response.", + "ToolCall": { + "type": "object", + "description": "A predicted server-side `ToolCall` returned from the model. This message contains information about a tool that the model wants to invoke. The client is NOT expected to execute this `ToolCall`. Instead, the client should pass this `ToolCall` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolResponse`.", "properties": { - "uri": { - "description": "Optional. URI that is attributed as a source for a portion of the text.", - "type": "string" - }, - "startIndex": { - "description": "Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.", - "type": "integer", - "format": "int32" + "id": { + "type": "string", + "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`." }, - "license": { - "description": "Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.", + "toolType": { + "description": "Required. The type of tool that was called.", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], "type": "string" - }, - "endIndex": { - "type": "integer", - "format": "int32", - "description": "Optional. End of the attributed segment, exclusive." + }, + "args": { + "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } - }, - "type": "object" + } }, - "Operation": { - "description": "This resource represents a long-running operation that is the result of a network API call.", + "Maps": { "type": "object", + "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", "properties": { - "error": { - "$ref": "#/components/schemas/Status", - "description": "The error result of the operation in case of failure or cancellation." + "title": { + "type": "string", + "description": "Title of the place." }, - "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": "object" + "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" }, - "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" + "placeAnswerSources": { + "$ref": "#/components/schemas/PlaceAnswerSources", + "description": "Sources that provide answers about the features of a given place in Google Maps." }, - "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" + "uri": { + "type": "string", + "description": "URI reference of the place." }, - "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" + "text": { + "description": "Text description of the place answer.", + "type": "string" } } }, - "GoogleAiGenerativelanguageV1betaSegment": { - "description": "Segment of the content.", + "WhiteSpaceConfig": { + "description": "Configuration for a white space chunking algorithm [white space delimited].", "properties": { - "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" - }, - "text": { - "description": "The text corresponding to the segment from the response.", - "type": "string" - }, - "startIndex": { - "type": "integer", + "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.", "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" }, - "partIndex": { - "description": "The index of a Part object within its parent Content object.", - "type": "integer", - "format": "int32" + "maxOverlapTokens": { + "description": "Maximum number of overlapping tokens between two adjacent chunks.", + "format": "int32", + "type": "integer" } }, "type": "object" }, - "SearchTypes": { - "description": "Different types of search that can be enabled on the GoogleSearch tool.", + "GroundingAttribution": { "type": "object", + "description": "Attribution for a source that contributed to an answer.", "properties": { - "imageSearch": { - "description": "Optional. Enables image search. Image bytes are returned.", - "$ref": "#/components/schemas/ImageSearch" + "content": { + "description": "Grounding source content that makes up this attribution.", + "$ref": "#/components/schemas/Content" }, - "webSearch": { - "description": "Optional. Enables web search. Only text results are returned.", - "$ref": "#/components/schemas/WebSearch" + "sourceId": { + "description": "Output only. Identifier for the source contributing to this attribution.", + "readOnly": true, + "$ref": "#/components/schemas/AttributionSourceId" } } }, - "WhiteSpaceConfig": { - "description": "Configuration for a white space chunking algorithm [white space delimited].", + "GroundingChunk": { "type": "object", + "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps.", "properties": { - "maxTokensPerChunk": { - "description": "Maximum number of tokens per chunk. Tokens are defined as words for this chunking algorithm. Note: we are defining tokens as words split by whitespace as opposed to the output of a tokenizer. The context window of the latest gemini embedding model as of 2025-04-17 is currently 8192 tokens. We assume that the average word is 5 characters. Therefore, we set the upper limit to 2**9, which is 512 words, or 2560 tokens, assuming worst case a character per token. This is a conservative estimate meant to prevent context window overflow.", - "type": "integer", - "format": "int32" + "web": { + "description": "Grounding chunk from the web.", + "$ref": "#/components/schemas/Web" }, - "maxOverlapTokens": { - "description": "Maximum number of overlapping tokens between two adjacent chunks.", - "type": "integer", - "format": "int32" + "retrievedContext": { + "description": "Optional. Grounding chunk from context retrieved by the file search tool.", + "$ref": "#/components/schemas/RetrievedContext" + }, + "image": { + "$ref": "#/components/schemas/Image", + "description": "Optional. Grounding chunk from image search." + }, + "maps": { + "$ref": "#/components/schemas/Maps", + "description": "Optional. Grounding chunk from Google Maps." } } }, - "TunedModelSource": { - "description": "Tuned model as a source for training a new model.", + "InlinedEmbedContentRequests": { "type": "object", + "description": "The requests to be processed in the batch if provided as part of the batch creation request.", "properties": { - "tunedModel": { - "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`", + "requests": { + "type": "array", + "items": { + "$ref": "#/components/schemas/InlinedEmbedContentRequest" + }, + "description": "Required. The requests to be processed in the batch." + } + } + }, + "GroundingChunkStringList": { + "description": "A list of string values.", + "properties": { + "values": { + "description": "The string values of the list.", + "items": { + "type": "string" + }, + "type": "array" + } + }, + "type": "object" + }, + "UrlMetadata": { + "description": "Context of the a single url retrieval.", + "properties": { + "retrievedUrl": { + "description": "Retrieved url by the tool.", "type": "string" }, - "baseModel": { - "readOnly": true, + "urlRetrievalStatus": { "type": "string", - "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`" + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Url retrieval is successful.", + "Url retrieval is failed due to error.", + "Url retrieval is failed because the content is behind paywall.", + "Url retrieval is failed because the content is unsafe." + ], + "description": "Status of the url retrieval.", + "enum": [ + "URL_RETRIEVAL_STATUS_UNSPECIFIED", + "URL_RETRIEVAL_STATUS_SUCCESS", + "URL_RETRIEVAL_STATUS_ERROR", + "URL_RETRIEVAL_STATUS_PAYWALL", + "URL_RETRIEVAL_STATUS_UNSAFE" + ] } - } + }, + "type": "object" }, - "FunctionResponse": { + "UsageMetadata": { + "description": "Metadata on the generation request's token usage.", "properties": { - "parts": { + "totalTokenCount": { + "format": "int32", + "description": "Total token count for the generation request (prompt + response candidates).", + "type": "integer" + }, + "cachedContentTokenCount": { + "type": "integer", + "description": "Number of tokens in the cached part of the prompt (the cached content)", + "format": "int32" + }, + "cacheTokensDetails": { + "description": "Output only. List of modalities of the cached content in the request input.", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array" + }, + "candidatesTokensDetails": { + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "readOnly": true, + "type": "array", + "description": "Output only. List of modalities that were returned in the response." + }, + "candidatesTokenCount": { + "type": "integer", + "format": "int32", + "description": "Total number of tokens across all the generated response candidates." + }, + "toolUsePromptTokenCount": { + "readOnly": true, + "type": "integer", + "format": "int32", + "description": "Output only. Number of tokens present in tool-use prompt(s)." + }, + "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." + }, + "toolUsePromptTokensDetails": { + "readOnly": true, "type": "array", - "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", "items": { - "$ref": "#/components/schemas/FunctionResponsePart" - } + "$ref": "#/components/schemas/ModalityTokenCount" + }, + "description": "Output only. List of modalities that were processed for tool-use request inputs." }, - "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" + "thoughtsTokenCount": { + "description": "Output only. Number of tokens of thoughts for thinking models.", + "format": "int32", + "readOnly": true, + "type": "integer" }, - "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." + "promptTokensDetails": { + "readOnly": true, + "type": "array", + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" }, - "type": "object" + "description": "Output only. List of modalities that were processed in the request input." }, - "scheduling": { - "x-enum-descriptions": [ - "This value is unused.", - "Only add the result to the conversation context, do not interrupt or trigger generation.", - "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", - "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." - ], - "description": "Optional. Specifies how the response should be scheduled in the conversation. Only applicable to NON_BLOCKING function calls, is ignored otherwise. Defaults to WHEN_IDLE.", + "responseTokenCount": { + "description": "Output only. Number of tokens in the response. Used by Gemini 3.1+ Live API models instead of candidatesTokenCount.", + "type": "integer", + "format": "int32", + "readOnly": true + }, + "responseTokensDetails": { + "description": "Output only. List of modalities returned in the response with per-modality token counts. Used by Gemini 3.1+ Live API models instead of candidatesTokensDetails.", + "type": "array", + "readOnly": true, + "items": { + "$ref": "#/components/schemas/ModalityTokenCount" + } + } + }, + "type": "object" + }, + "ExecutableCode": { + "type": "object", + "description": "Code generated by the model that is meant to be executed, and the result returned to the model. Only generated when using the `CodeExecution` tool, in which the code will be automatically executed, and a corresponding `CodeExecutionResult` will also be generated.", + "properties": { + "id": { + "type": "string", + "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`." + }, + "language": { + "description": "Required. Programming language of the `code`.", "enum": [ - "SCHEDULING_UNSPECIFIED", - "SILENT", - "WHEN_IDLE", - "INTERRUPT" + "LANGUAGE_UNSPECIFIED", + "PYTHON" + ], + "x-enum-descriptions": [ + "Unspecified language. This value should not be used.", + "Python >= 3.10, with numpy and simpy available. Python is the default language." ], "type": "string" }, - "name": { - "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128.", - "type": "string" - }, - "willContinue": { - "description": "Optional. Signals that function call continues, and more responses will be returned, turning the function call into a generator. Is only applicable to NON_BLOCKING function calls, is ignored otherwise. If set to false, future responses will not be considered. It is allowed to return empty `response` with `will_continue=False` to signal that the function call is finished. This may still trigger the model generation. To avoid triggering the generation and finish the function call, additionally set `scheduling` to `SILENT`.", - "type": "boolean" + "code": { + "type": "string", + "description": "Required. The code to be executed." } - }, - "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." + } }, - "GoogleSearchRetrieval": { + "BatchEmbedContentsRequest": { + "type": "object", + "description": "Batch request to get embeddings from the model for a list of prompts.", "properties": { - "dynamicRetrievalConfig": { - "description": "Specifies the dynamic retrieval configuration for the given source.", - "$ref": "#/components/schemas/DynamicRetrievalConfig" + "requests": { + "type": "array", + "items": { + "$ref": "#/components/schemas/EmbedContentRequest" + }, + "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`." } - }, - "type": "object", - "description": "Tool to retrieve public web data for grounding, powered by Google." + } }, "RetrievalMetadata": { - "description": "Metadata related to retrieval in the grounding flow.", "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." + "description": "Optional. Score indicating how likely information from google search could help answer the prompt. The score is in the range [0, 1], where 0 is the least likely and 1 is the most likely. This score is only populated when google search grounding and dynamic retrieval is enabled. It will be compared to the threshold to determine whether to trigger google search.", + "format": "float" } } }, - "CachedContentUsageMetadata": { - "description": "Metadata on the usage of the cached content.", + "UrlContextMetadata": { + "description": "Metadata related to url context retrieval tool.", "properties": { - "totalTokenCount": { - "description": "Total number of tokens that the cached content consumes.", - "type": "integer", - "format": "int32" + "urlMetadata": { + "items": { + "$ref": "#/components/schemas/UrlMetadata" + }, + "type": "array", + "description": "List of url context." } }, "type": "object" }, - "FunctionDeclaration": { + "RetrievalConfig": { + "type": "object", + "description": "Retrieval config.", "properties": { - "responseJsonSchema": { - "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." - }, - "description": { - "description": "Required. A brief description of the function.", + "languageCode": { + "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", "type": "string" }, - "parametersJsonSchema": { - "description": "Optional. Describes the parameters to the function in JSON Schema format. The schema must describe an object where the properties are the parameters to the function. For example: ``` { \"type\": \"object\", \"properties\": { \"name\": { \"type\": \"string\" }, \"age\": { \"type\": \"integer\" } }, \"additionalProperties\": false, \"required\": [\"name\", \"age\"], \"propertyOrdering\": [\"name\", \"age\"] } ``` This field is mutually exclusive with `parameters`." - }, - "behavior": { - "x-enum-descriptions": [ - "This value is unused.", - "If set, the system will wait to receive the function response before continuing the conversation.", - "If set, the system will not wait to receive the function response. Instead, it will attempt to handle function responses as they become available while maintaining the conversation between the user and the model." - ], - "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", - "enum": [ - "UNSPECIFIED", - "BLOCKING", - "NON_BLOCKING" - ], - "type": "string" + "latLng": { + "description": "Optional. The location of the user.", + "$ref": "#/components/schemas/LatLng" + } + } + }, + "Empty": { + "type": "object", + "description": "A generic empty message that you can re-use to avoid defining duplicated empty messages in your APIs. A typical example is to use it as the request or the response type of an API method. For instance: service Foo { rpc Bar(google.protobuf.Empty) returns (google.protobuf.Empty); }", + "properties": {} + }, + "UrlContext": { + "description": "Tool to support URL context retrieval.", + "properties": {}, + "type": "object" + }, + "VideoMetadata": { + "type": "object", + "properties": { + "endOffset": { + "type": "string", + "format": "google-duration", + "description": "Optional. The end offset of the video." }, - "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.", - "$ref": "#/components/schemas/Schema" + "fps": { + "type": "number", + "format": "double", + "description": "Optional. The frame rate of the video sent to the model. If not specified, the default value will be 1.0. The fps range is (0.0, 24.0]." }, - "name": { - "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128.", + "startOffset": { + "format": "google-duration", + "description": "Optional. The start offset of the video.", "type": "string" - }, - "parameters": { - "description": "Optional. Describes the parameters to this function. Reflects the Open API 3.03 Parameter Object string Key: the name of the parameter. Parameter names are case sensitive. Schema Value: the Schema defining the type used for the parameter.", - "$ref": "#/components/schemas/Schema" } }, - "type": "object", - "description": "Structured representation of a function declaration as defined by the [OpenAPI 3.03 specification](https://spec.openapis.org/oas/v3.0.3). Included in this declaration are the function name and parameters. This FunctionDeclaration is a representation of a block of code that can be used as a `Tool` by the model and executed by the client." + "deprecated": true, + "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content." }, - "SafetySetting": { - "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", + "GroundingChunkCustomMetadata": { "type": "object", + "description": "User provided metadata about the GroundingFact.", "properties": { - "category": { - "enumDeprecated": [ - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - false, - true - ], - "description": "Required. The category for this setting.", - "enum": [ - "HARM_CATEGORY_UNSPECIFIED", - "HARM_CATEGORY_DEROGATORY", - "HARM_CATEGORY_TOXICITY", - "HARM_CATEGORY_VIOLENCE", - "HARM_CATEGORY_SEXUAL", - "HARM_CATEGORY_MEDICAL", - "HARM_CATEGORY_DANGEROUS", - "HARM_CATEGORY_HARASSMENT", - "HARM_CATEGORY_HATE_SPEECH", - "HARM_CATEGORY_SEXUALLY_EXPLICIT", - "HARM_CATEGORY_DANGEROUS_CONTENT", - "HARM_CATEGORY_CIVIC_INTEGRITY" - ], - "x-enum-descriptions": [ - "Category is unspecified.", - "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", - "**PaLM** - Content that is rude, disrespectful, or profane.", - "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", - "**PaLM** - Contains references to sexual acts or other lewd content.", - "**PaLM** - Promotes unchecked medical advice.", - "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", - "**Gemini** - Harassment content.", - "**Gemini** - Hate speech and content.", - "**Gemini** - Sexually explicit content.", - "**Gemini** - Dangerous content.", - "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." - ], - "type": "string" + "stringListValue": { + "$ref": "#/components/schemas/GroundingChunkStringList", + "description": "Optional. A list of string values for the metadata." }, - "threshold": { + "numericValue": { + "type": "number", + "format": "float", + "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used." + }, + "stringValue": { "type": "string", - "x-enum-descriptions": [ - "Threshold is unspecified.", - "Content with NEGLIGIBLE will be allowed.", - "Content with NEGLIGIBLE and LOW will be allowed.", - "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", - "All content will be allowed.", - "Turn off the safety filter." - ], - "description": "Required. Controls the probability threshold at which harm is blocked.", - "enum": [ - "HARM_BLOCK_THRESHOLD_UNSPECIFIED", - "BLOCK_LOW_AND_ABOVE", - "BLOCK_MEDIUM_AND_ABOVE", - "BLOCK_ONLY_HIGH", - "BLOCK_NONE", - "OFF" - ] + "description": "Optional. The string value of the metadata." + }, + "key": { + "description": "The key of the metadata.", + "type": "string" } } }, - "LogprobsResultCandidate": { + "CreateFileRequest": { "type": "object", + "description": "Request for `CreateFile`.", "properties": { - "tokenId": { - "description": "The candidate\u2019s token id value.", - "type": "integer", - "format": "int32" - }, - "logProbability": { - "type": "number", - "format": "float", - "description": "The candidate's log probability." + "file": { + "description": "Optional. Metadata for the file to create.", + "$ref": "#/components/schemas/File" + } + } + }, + "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.", + "properties": { + "endTime": { + "type": "string", + "format": "google-datetime", + "description": "Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end." }, - "token": { - "description": "The candidate\u2019s token string value.", + "startTime": { + "description": "Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start.", + "format": "google-datetime", "type": "string" } }, - "description": "Candidate for the logprobs token and score." + "type": "object" }, - "SearchEntryPoint": { - "description": "Google search entry point.", + "TunedModelSource": { "type": "object", + "description": "Tuned model as a source for training a new model.", "properties": { - "renderedContent": { - "description": "Optional. Web content snippet that can be embedded in a web page or an app webview.", - "type": "string" - }, - "sdkBlob": { + "tunedModel": { "type": "string", - "format": "byte", - "description": "Optional. Base64 encoded JSON representing array of tuple." + "description": "Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model`" + }, + "baseModel": { + "description": "Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`", + "readOnly": true, + "type": "string" } } }, - "Web": { + "Document": { + "description": "A `Document` is a collection of `Chunk`s.", "properties": { - "uri": { + "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" + }, + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"" + }, + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/CustomMetadata" + }, + "description": "Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`." + }, + "state": { + "readOnly": true, + "description": "Output only. Current state of the `Document`.", + "enum": [ + "STATE_UNSPECIFIED", + "STATE_PENDING", + "STATE_ACTIVE", + "STATE_FAILED" + ], + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", + "All `Chunks` of the `Document` is processed and available for querying.", + "Some `Chunks` of the `Document` failed processing." + ] + }, + "sizeBytes": { + "description": "Output only. The size of raw bytes ingested into the Document.", + "format": "int64", + "readOnly": true, + "type": "string" + }, + "mimeType": { "readOnly": true, "type": "string", - "description": "Output only. URI reference of the chunk." + "description": "Output only. The mime type of the Document." }, - "title": { + "updateTime": { + "description": "Output only. The Timestamp of when the `Document` was last updated.", + "format": "google-datetime", "readOnly": true, - "type": "string", - "description": "Output only. Title of the chunk." + "type": "string" + }, + "createTime": { + "format": "google-datetime", + "description": "Output only. The Timestamp of when the `Document` was created.", + "readOnly": true, + "type": "string" } }, - "type": "object", - "description": "Chunk from the web." + "type": "object" }, - "CitationMetadata": { - "description": "A collection of source attributions for a piece of content.", - "properties": { - "citationSources": { - "type": "array", - "description": "Citations to sources for a specific response.", - "items": { - "$ref": "#/components/schemas/CitationSource" - } - } - }, + "ImageSearch": { + "description": "Image search for grounding and related configurations.", + "properties": {}, "type": "object" }, - "SemanticRetrieverChunk": { + "Candidate": { "type": "object", + "description": "A response candidate generated from the model.", "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`" - }, - "chunk": { + "index": { "readOnly": true, - "type": "string", - "description": "Output only. Name of the `Chunk` containing the attributed text. Example: `corpora/123/documents/abc/chunks/xyz`" - } - }, - "description": "Identifier for a `Chunk` retrieved via Semantic Retriever specified in the `GenerateAnswerRequest` using `SemanticRetrieverConfig`." - }, - "Hyperparameters": { - "properties": { - "batchSize": { - "type": "integer", - "format": "int32", - "description": "Immutable. The batch size hyperparameter for tuning. If not set, a default of 4 or 16 will be used based on the number of training examples." - }, - "epochCount": { "type": "integer", - "format": "int32", - "description": "Immutable. The number of training epochs. An epoch is one pass through the training data. If not set, a default of 5 will be used." - }, - "learningRate": { - "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." + "description": "Output only. Index of the candidate in the list of response candidates.", + "format": "int32" }, - "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." - } - }, - "type": "object", - "description": "Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance" - }, - "GenerationConfig": { - "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", - "properties": { - "mediaResolution": { - "type": "string", - "description": "Optional. If specified, the media resolution specified will be used.", - "enum": [ - "MEDIA_RESOLUTION_UNSPECIFIED", - "MEDIA_RESOLUTION_LOW", - "MEDIA_RESOLUTION_MEDIUM", - "MEDIA_RESOLUTION_HIGH" - ], - "x-enum-descriptions": [ - "Media resolution has not been set.", - "Media resolution set to low (64 tokens).", - "Media resolution set to medium (256 tokens).", - "Media resolution set to high (zoomed reframing with 256 tokens)." - ] + "content": { + "description": "Output only. Generated content returned from the model.", + "readOnly": true, + "$ref": "#/components/schemas/Content" }, - "responseModalities": { - "description": "Optional. The requested modalities of the response. Represents the set of modalities that the model can return, and should be expected in the response. This is an exact match to the modalities of the response. A model may have multiple combinations of supported modalities. If the requested modalities do not match any of the supported combinations, an error will be returned. An empty list is equivalent to requesting only text.", + "groundingAttributions": { + "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", "items": { - "x-enum-descriptions": [ - "Default value.", - "Indicates the model should return text.", - "Indicates the model should return images.", - "Indicates the model should return audio.", - "Indicates the model should return video." - ], - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "AUDIO", - "VIDEO" - ], - "type": "string" + "$ref": "#/components/schemas/GroundingAttribution" }, + "readOnly": true, "type": "array" }, - "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" + "avgLogprobs": { + "description": "Output only. Average log probability score of the candidate.", + "format": "double", + "readOnly": true, + "type": "number" }, - "responseLogprobs": { - "description": "Optional. If true, export the logprobs results in response.", - "type": "boolean" + "finishMessage": { + "readOnly": true, + "type": "string", + "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set." }, - "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.", - "$ref": "#/components/schemas/ImageConfig" + "logprobsResult": { + "description": "Output only. Log-likelihood scores for the response tokens and top tokens", + "readOnly": true, + "$ref": "#/components/schemas/LogprobsResult" }, - "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" + "tokenCount": { + "description": "Output only. Token count for this candidate.", + "format": "int32", + "readOnly": true, + "type": "integer" }, - "maxOutputTokens": { - "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", - "type": "integer", - "format": "int32" + "urlContextMetadata": { + "description": "Output only. Metadata related to url context retrieval tool.", + "readOnly": true, + "$ref": "#/components/schemas/UrlContextMetadata" }, - "responseSchema": { - "$ref": "#/components/schemas/Schema", - "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details." + "finishReason": { + "type": "string", + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Natural stop point of the model or provided stop sequence.", + "The maximum number of tokens as specified in the request was reached.", + "The response candidate content was flagged for safety reasons.", + "The response candidate content was flagged for recitation reasons.", + "The response candidate content was flagged for using an unsupported language.", + "Unknown reason.", + "Token generation stopped because the content contains forbidden terms.", + "Token generation stopped for potentially containing prohibited content.", + "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", + "The function call generated by the model is invalid.", + "Token generation stopped because generated images contain safety violations.", + "Image generation stopped because generated images has other prohibited content.", + "Image generation stopped because of other miscellaneous issue.", + "The model was expected to generate an image, but none was generated.", + "Image generation stopped due to recitation.", + "Model generated a tool call but no tools were enabled in the request.", + "Model called too many tools consecutively, thus the system exited execution.", + "Request has at least one thought signature missing.", + "Finished due to malformed response." + ], + "readOnly": true, + "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", + "enum": [ + "FINISH_REASON_UNSPECIFIED", + "STOP", + "MAX_TOKENS", + "SAFETY", + "RECITATION", + "LANGUAGE", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "SPII", + "MALFORMED_FUNCTION_CALL", + "IMAGE_SAFETY", + "IMAGE_PROHIBITED_CONTENT", + "IMAGE_OTHER", + "NO_IMAGE", + "IMAGE_RECITATION", + "UNEXPECTED_TOOL_CALL", + "TOO_MANY_TOOL_CALLS", + "MISSING_THOUGHT_SIGNATURE", + "MALFORMED_RESPONSE" + ] }, - "thinkingConfig": { - "$ref": "#/components/schemas/ThinkingConfig", - "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." + "citationMetadata": { + "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data.", + "readOnly": true, + "$ref": "#/components/schemas/CitationMetadata" }, - "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." + "groundingMetadata": { + "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", + "readOnly": true, + "$ref": "#/components/schemas/GroundingMetadata" }, - "stopSequences": { - "description": "Optional. The set of character sequences (up to 5) that will stop output generation. If specified, the API will stop at the first appearance of a `stop_sequence`. The stop sequence will not be included as part of the response.", + "safetyRatings": { + "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", "items": { - "type": "string" + "$ref": "#/components/schemas/SafetyRating" }, "type": "array" + } + } + }, + "RetrievedContext": { + "type": "object", + "description": "Chunk from context retrieved by the file search tool.", + "properties": { + "customMetadata": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunkCustomMetadata" + }, + "description": "Optional. User-provided metadata about the retrieved context." }, - "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" + "fileSearchStore": { + "type": "string", + "description": "Optional. Name of the `FileSearchStore` containing the document. Example: `fileSearchStores/123`" }, - "seed": { - "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "pageNumber": { "type": "integer", + "description": "Optional. Page number of the retrieved context, if applicable.", "format": "int32" }, - "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" - }, - "enableEnhancedCivicAnswers": { - "description": "Optional. Enables enhanced civic answers. It may not be available for all models.", - "type": "boolean" - }, - "responseJsonSchema": { - "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." - }, - "topK": { - "description": "Optional. The maximum number of tokens to consider when sampling. Gemini models use Top-p (nucleus) sampling or a combination of Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Models running with nucleus sampling don't allow top_k setting. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", - "type": "integer", - "format": "int32" + "title": { + "description": "Optional. Title of the document.", + "type": "string" }, - "topP": { - "type": "number", - "format": "float", - "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests." + "mediaId": { + "type": "string", + "description": "Optional. The media blob resource name for multimodal file search results. Format: fileSearchStores/{file_search_store_id}/media/{blob_id}" }, - "logprobs": { - "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", - "type": "integer", - "format": "int32" + "text": { + "description": "Optional. Text of the chunk.", + "type": "string" }, - "speechConfig": { - "$ref": "#/components/schemas/SpeechConfig", - "description": "Optional. The speech generation config." + "uri": { + "description": "Optional. URI reference of the semantic retrieval document.", + "type": "string" } - }, - "type": "object" + } }, "CachedContent": { + "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.", "properties": { "tools": { "description": "Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response", + "type": "array", "items": { "$ref": "#/components/schemas/Tool" - }, - "type": "array" + } }, - "updateTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. When the cache entry was last updated in UTC time." + "displayName": { + "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", + "type": "string" }, "toolConfig": { - "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools.", - "$ref": "#/components/schemas/ToolConfig" + "$ref": "#/components/schemas/ToolConfig", + "description": "Optional. Input only. Immutable. Tool config. This config is shared for all tools." }, "createTime": { "description": "Output only. Creation time of the cache entry.", + "format": "google-datetime", "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "displayName": { - "description": "Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.", "type": "string" }, "expireTime": { - "type": "string", "format": "google-datetime", - "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input." - }, - "model": { - "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", + "description": "Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.", "type": "string" }, - "contents": { - "description": "Optional. Input only. Immutable. The content to cache.", - "items": { - "$ref": "#/components/schemas/Content" - }, - "type": "array" + "systemInstruction": { + "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", + "$ref": "#/components/schemas/Content" + }, + "ttl": { + "type": "string", + "description": "Input only. New TTL for this resource, input only.", + "format": "google-duration" }, "name": { "readOnly": true, "type": "string", "description": "Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`" }, - "ttl": { - "type": "string", - "format": "google-duration", - "description": "Input only. New TTL for this resource, input only." - }, - "systemInstruction": { - "description": "Optional. Input only. Immutable. Developer set system instruction. Currently text only.", - "$ref": "#/components/schemas/Content" + "contents": { + "description": "Optional. Input only. Immutable. The content to cache.", + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + } }, "usageMetadata": { - "description": "Output only. Metadata on the usage of the cached content.", + "readOnly": true, "$ref": "#/components/schemas/CachedContentUsageMetadata", - "readOnly": true - } - }, - "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." - }, - "ListPermissionsResponse": { - "description": "Response from `ListPermissions` containing a paginated list of permissions.", - "properties": { - "permissions": { - "description": "Returned permissions.", - "items": { - "$ref": "#/components/schemas/Permission" - }, - "type": "array" + "description": "Output only. Metadata on the usage of the cached content." }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" - } - }, - "type": "object" - }, - "MultiSpeakerVoiceConfig": { - "description": "The configuration for the multi-speaker setup.", - "type": "object", - "properties": { - "speakerVoiceConfigs": { - "description": "Required. All the enabled speaker voices.", - "items": { - "$ref": "#/components/schemas/SpeakerVoiceConfig" - }, - "type": "array" - } - } - }, - "ModelStatus": { - "type": "object", - "properties": { - "modelStage": { - "type": "string", - "description": "The stage of the underlying model.", - "enum": [ - "MODEL_STAGE_UNSPECIFIED", - "UNSTABLE_EXPERIMENTAL", - "EXPERIMENTAL", - "PREVIEW", - "STABLE", - "LEGACY", - "DEPRECATED", - "RETIRED" - ], - "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 - ] - }, - "message": { - "description": "A message explaining the model status.", + "model": { + "description": "Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`", "type": "string" }, - "retirementTime": { - "type": "string", - "format": "google-datetime", - "description": "The time at which the model will be retired." - } - }, - "description": "The status of the underlying model. This is used to indicate the stage of the underlying model and the retirement time if applicable." - }, - "Interval": { - "type": "object", - "properties": { - "startTime": { - "type": "string", + "updateTime": { + "description": "Output only. When the cache entry was last updated in UTC time.", "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" - } - }, - "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." - }, - "UrlContextMetadata": { - "properties": { - "urlMetadata": { - "description": "List of url context.", - "items": { - "$ref": "#/components/schemas/UrlMetadata" - }, - "type": "array" + "readOnly": true, + "type": "string" } - }, - "type": "object", - "description": "Metadata related to url context retrieval tool." + } }, - "Content": { + "StreamableHttpTransport": { "type": "object", + "description": "A transport that can stream HTTP requests and responses. Next ID: 6", "properties": { - "parts": { - "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", - "items": { - "$ref": "#/components/schemas/Part" - }, - "type": "array" - }, - "role": { - "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", + "timeout": { + "description": "HTTP timeout for regular operations.", + "format": "google-duration", "type": "string" - } - }, - "description": "The base structured datatype containing multi-part content of a message. A `Content` includes a `role` field designating the producer of the `Content` and a `parts` field containing multi-part data that contains the content of the message turn." - }, - "FileSearch": { - "properties": { - "fileSearchStoreNames": { - "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`", - "items": { + }, + "headers": { + "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", + "type": "object", + "additionalProperties": { "type": "string" - }, - "type": "array" + } }, - "topK": { - "type": "integer", - "format": "int32", - "description": "Optional. The number of semantic retrieval chunks to retrieve." + "terminateOnClose": { + "description": "Whether to close the client session when the transport closes.", + "type": "boolean" }, - "metadataFilter": { - "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "sseReadTimeout": { + "description": "Timeout for SSE read operations.", + "format": "google-duration", "type": "string" - } - }, - "type": "object", - "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API." - }, - "TuningSnapshot": { - "description": "Record for a single tuning step.", - "properties": { - "epoch": { - "description": "Output only. The epoch this step was part of.", - "readOnly": true, - "type": "integer", - "format": "int32" - }, - "meanLoss": { - "readOnly": true, - "type": "number", - "format": "float", - "description": "Output only. The mean loss of the training examples for this step." - }, - "step": { - "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. The tuning step." }, - "computeTime": { - "readOnly": true, + "url": { "type": "string", - "format": "google-datetime", - "description": "Output only. The timestamp when this metric was computed." + "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"" } - }, - "type": "object" + } }, - "InlinedEmbedContentResponses": { + "GoogleMaps": { + "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", "properties": { - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedEmbedContentResponse" - }, - "readOnly": true, - "type": "array" + "enableWidget": { + "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", + "type": "boolean" } }, - "type": "object", - "description": "The responses to the requests in the batch." + "type": "object" }, - "ImportFileRequest": { - "description": "Request for `ImportFile` to import a File API file with a `FileSearchStore`.", + "Image": { "type": "object", + "description": "Chunk from image search.", "properties": { - "chunkingConfig": { - "$ref": "#/components/schemas/ChunkingConfig", - "description": "Optional. Config for telling the service how to chunk the file. If not provided, the service will use default parameters." - }, - "customMetadata": { - "description": "Custom metadata to be associated with the file.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" + "sourceUri": { + "description": "The web page URI for attribution.", + "type": "string" }, - "fileName": { - "description": "Required. The name of the `File` to import. Example: `files/abc-123`", + "imageUri": { + "description": "The image asset URL.", + "type": "string" + }, + "title": { + "description": "The title of the web page that the image is from.", + "type": "string" + }, + "domain": { + "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", "type": "string" } } }, - "TunedModel": { - "description": "A fine-tuned model created using ModelService.CreateTunedModel.", + "File": { "type": "object", + "description": "A file uploaded to the API. Next ID: 15", "properties": { - "tunedModelSource": { - "$ref": "#/components/schemas/TunedModelSource", - "description": "Optional. TunedModel to use as the starting point for training the new model." + "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": { - "x-enum-descriptions": [ - "The default value. This value is unused.", - "The model is being created.", - "The model is ready to be used.", - "The model failed to be created." - ], - "description": "Output only. The state of the tuned model.", + "description": "Output only. Processing state of the File.", "enum": [ "STATE_UNSPECIFIED", - "CREATING", + "PROCESSING", "ACTIVE", "FAILED" ], "readOnly": true, + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "File is being processed and cannot be used for inference yet.", + "File is processed and available for inference.", + "File failed processing." + ], "type": "string" }, - "updateTime": { - "description": "Output only. The timestamp when this model was updated.", + "sha256Hash": { + "format": "byte", + "description": "Output only. SHA-256 hash of the uploaded bytes.", "readOnly": true, + "type": "string" + }, + "displayName": { "type": "string", - "format": "google-datetime" + "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\"" }, - "createTime": { + "expirationTime": { "readOnly": true, "type": "string", "format": "google-datetime", - "description": "Output only. The timestamp when this model was created." - }, - "topK": { - "type": "integer", - "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." + "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire." }, - "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" + "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." + ], + "description": "Source of the File.", + "enum": [ + "SOURCE_UNSPECIFIED", + "UPLOADED", + "GENERATED", + "REGISTERED" + ], + "type": "string" }, - "tuningTask": { - "description": "Required. The tuning task that creates the tuned model.", - "$ref": "#/components/schemas/TuningTask" + "sizeBytes": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. Size of the file in bytes." }, - "name": { + "downloadUri": { "readOnly": true, "type": "string", - "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" + "description": "Output only. The download uri of the `File`." }, - "baseModel": { - "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", - "type": "string" + "videoMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/VideoFileMetadata", + "description": "Output only. Metadata for a video." }, - "displayName": { - "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", + "updateTime": { + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was last updated.", + "readOnly": true, "type": "string" }, - "description": { - "description": "Optional. A short description of this model.", + "error": { + "description": "Output only. Error status if File processing failed.", + "readOnly": true, + "$ref": "#/components/schemas/Status" + }, + "uri": { + "description": "Output only. The uri of the `File`.", + "readOnly": true, "type": "string" }, - "temperature": { - "type": "number", - "format": "float", - "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model." + "mimeType": { + "description": "Output only. MIME type of the file.", + "readOnly": true, + "type": "string" }, - "readerProjectNumbers": { - "description": "Optional. List of project numbers that have read access to the tuned model.", - "items": { - "type": "string", - "format": "int64" - }, - "type": "array" + "createTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The timestamp of when the `File` was created." } } }, - "ImageSearch": { - "description": "Image search for grounding and related configurations.", - "type": "object", - "properties": {} - }, - "TransferOwnershipResponse": { - "type": "object", - "properties": {}, - "description": "Response from `TransferOwnership`." - }, - "AttributionSourceId": { - "description": "Identifier for the source contributing to this attribution.", + "Part": { "type": "object", + "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", "properties": { - "groundingPassage": { - "description": "Identifier for an inline passage.", - "$ref": "#/components/schemas/GroundingPassageId" + "text": { + "type": "string", + "description": "Inline text." }, - "semanticRetrieverChunk": { - "$ref": "#/components/schemas/SemanticRetrieverChunk", - "description": "Identifier for a `Chunk` fetched via Semantic Retriever." - } - } - }, - "CreateFileRequest": { - "description": "Request for `CreateFile`.", - "type": "object", - "properties": { - "file": { - "description": "Optional. Metadata for the file to create.", - "$ref": "#/components/schemas/File" - } - } - }, - "CustomMetadata": { - "properties": { - "key": { - "description": "Required. The key of the metadata to store.", + "thoughtSignature": { + "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", + "format": "byte", "type": "string" }, - "stringValue": { - "description": "The string value of the metadata to store.", - "type": "string" + "executableCode": { + "$ref": "#/components/schemas/ExecutableCode", + "description": "Code generated by the model that is meant to be executed." }, - "stringListValue": { - "description": "The StringList value of the metadata to store.", - "$ref": "#/components/schemas/StringList" + "fileData": { + "$ref": "#/components/schemas/FileData", + "description": "URI based data." }, - "numericValue": { - "type": "number", - "format": "float", - "description": "The numeric value of the metadata to store." - } - }, - "type": "object", - "description": "User provided metadata stored as key-value pairs." - }, - "Status": { - "type": "object", - "properties": { - "details": { - "type": "array", - "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", - "items": { - "type": "object", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } - } + "codeExecutionResult": { + "description": "Result of executing the `ExecutableCode`.", + "$ref": "#/components/schemas/CodeExecutionResult" }, - "code": { - "type": "integer", - "format": "int32", - "description": "The status code, which should be an enum value of google.rpc.Code." + "partMetadata": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams." }, - "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" - } - }, - "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)." - }, - "Maps": { - "description": "A grounding chunk from Google Maps. A Maps chunk corresponds to a single place.", - "properties": { - "uri": { - "description": "URI reference of the place.", - "type": "string" + "thought": { + "type": "boolean", + "description": "Optional. Indicates if the part is thought from the model." }, - "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" + "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.", + "$ref": "#/components/schemas/ToolCall" }, - "title": { - "description": "Title of the place.", - "type": "string" + "functionCall": { + "$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." }, - "text": { - "description": "Text description of the place answer.", - "type": "string" + "videoMetadata": { + "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.", + "$ref": "#/components/schemas/VideoMetadata" }, - "placeAnswerSources": { - "$ref": "#/components/schemas/PlaceAnswerSources", - "description": "Sources that provide answers about the features of a given place in Google Maps." - } - }, - "type": "object" - }, - "FunctionResponsePart": { - "properties": { - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/FunctionResponseBlob" - } - }, - "type": "object", - "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes." - }, - "CodeExecutionResult": { - "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", - "type": "object", - "properties": { - "outcome": { - "type": "string", - "description": "Required. Outcome of the code execution.", - "enum": [ - "OUTCOME_UNSPECIFIED", - "OUTCOME_OK", - "OUTCOME_FAILED", - "OUTCOME_DEADLINE_EXCEEDED" - ], - "x-enum-descriptions": [ - "Unspecified status. This value should not be used.", - "Code execution completed successfully. `output` contains the stdout, if any.", - "Code execution failed. `output` contains the stderr and stdout, if any.", - "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." - ] + "mediaResolution": { + "$ref": "#/components/schemas/MediaResolution", + "description": "Optional. Media resolution for the input media." }, - "output": { - "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", - "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.", + "$ref": "#/components/schemas/FunctionResponse" + }, + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/Blob" }, - "id": { - "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id.", - "type": "string" + "toolResponse": { + "$ref": "#/components/schemas/ToolResponse", + "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`." } } }, - "EmbedContentBatchStats": { - "description": "Stats about the batch.", + "FunctionResponsePart": { + "description": "A datatype containing media that is part of a `FunctionResponse` message. A `FunctionResponsePart` consists of data which has an associated datatype. A `FunctionResponsePart` can only contain one of the accepted types in `FunctionResponsePart.data`. A `FunctionResponsePart` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "properties": { + "inlineData": { + "description": "Inline media bytes.", + "$ref": "#/components/schemas/FunctionResponseBlob" + } + }, + "type": "object" + }, + "FileSearch": { "type": "object", + "description": "The FileSearch tool that retrieves knowledge from Semantic Retrieval corpora. Files are imported to Semantic Retrieval corpora using the ImportFile API.", "properties": { - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "readOnly": true, - "type": "string", - "format": "int64" - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "readOnly": true, - "type": "string", - "format": "int64" + "fileSearchStoreNames": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Required. The names of the file_search_stores to retrieve from. Example: `fileSearchStores/my-file-search-store-123`" }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, - "type": "string", - "format": "int64" + "topK": { + "type": "integer", + "description": "Optional. The number of semantic retrieval chunks to retrieve.", + "format": "int32" }, - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "readOnly": true, - "type": "string", - "format": "int64" + "metadataFilter": { + "description": "Optional. Metadata filter to apply to the semantic retrieval documents and chunks.", + "type": "string" } } }, - "GoogleSearch": { + "McpServer": { + "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", "properties": { - "timeRangeFilter": { - "$ref": "#/components/schemas/Interval", - "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa)." + "streamableHttpTransport": { + "$ref": "#/components/schemas/StreamableHttpTransport", + "description": "A transport that can stream HTTP requests and responses." }, - "searchTypes": { - "$ref": "#/components/schemas/SearchTypes", - "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." + "name": { + "description": "The name of the MCPServer.", + "type": "string" } }, - "type": "object", - "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + "type": "object" }, - "Corpus": { - "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", + "Operation": { "type": "object", + "description": "This resource represents a long-running operation that is the result of a network API call.", "properties": { - "createTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Corpus` was created." + "metadata": { + "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Immutable. Identifier. The `Corpus` resource name. The ID (name excluding the \"corpora/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `corpora/my-awesome-corpora-123a456b789c`" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" }, - "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\"", + "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." + }, + "name": { + "description": "The server-assigned name, which is only unique within the same service that originally returns it. If you use the default HTTP mapping, the `name` should be a resource name ending with `operations/{unique_id}`.", "type": "string" }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Corpus` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." } } }, - "BatchStats": { - "description": "Stats about the batch.", + "FunctionCall": { + "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", "properties": { - "pendingRequestCount": { - "description": "Output only. The number of requests that are still pending processing.", - "readOnly": true, - "type": "string", - "format": "int64" - }, - "requestCount": { - "description": "Output only. The number of requests in the batch.", - "readOnly": true, - "type": "string", - "format": "int64" + "args": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Optional. The function parameters and values in JSON object format." }, - "successfulRequestCount": { - "description": "Output only. The number of requests that were successfully processed.", - "readOnly": true, + "name": { "type": "string", - "format": "int64" + "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." }, - "failedRequestCount": { - "description": "Output only. The number of requests that failed to be processed.", - "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" } }, "type": "object" }, - "Model": { - "description": "Information about a Generative Language Model.", + "ToolResponse": { "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`.", "properties": { - "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" - }, - "thinking": { - "description": "Whether the model supports thinking.", - "type": "boolean" - }, - "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." - }, - "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`", + "id": { + "description": "Optional. The identifier of the tool call this response is for.", "type": "string" }, - "version": { - "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", + "toolType": { + "x-enum-descriptions": [ + "Unspecified tool type.", + "Google search tool, maps to Tool.google_search.search_types.web_search.", + "Image search tool, maps to Tool.google_search.search_types.image_search.", + "URL context tool, maps to Tool.url_context.", + "Google maps tool, maps to Tool.google_maps.", + "File search tool, maps to Tool.file_search." + ], + "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "enum": [ + "TOOL_TYPE_UNSPECIFIED", + "GOOGLE_SEARCH_WEB", + "GOOGLE_SEARCH_IMAGE", + "URL_CONTEXT", + "GOOGLE_MAPS", + "FILE_SEARCH" + ], "type": "string" }, - "supportedGenerationMethods": { - "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.", + "response": { + "description": "Optional. The tool response.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } + } + } + }, + "PrebuiltVoiceConfig": { + "type": "object", + "description": "The configuration for the prebuilt speaker to use.", + "properties": { + "voiceName": { + "description": "The name of the preset voice to use.", + "type": "string" + } + } + }, + "InlinedEmbedContentResponses": { + "type": "object", + "description": "The responses to the requests in the batch.", + "properties": { + "inlinedResponses": { + "readOnly": true, + "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/InlinedEmbedContentResponse" }, - "type": "array" - }, - "displayName": { - "description": "The human-readable name of the model. E.g. \"Gemini 1.5 Flash\". The name can be up to 128 characters long and can consist of any UTF-8 characters.", - "type": "string" - }, - "description": { - "description": "A short description of the model.", - "type": "string" - }, - "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" - }, - "maxTemperature": { - "type": "number", - "format": "float", - "description": "The maximum temperature this model can use." - }, - "baseModelId": { - "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", - "type": "string" + "description": "Output only. The responses to the requests in the batch." + } + } + }, + "ModalityTokenCount": { + "description": "Represents token counting info for a single modality.", + "properties": { + "modality": { + "type": "string", + "x-enum-descriptions": [ + "Unspecified modality.", + "Plain text.", + "Image.", + "Video.", + "Audio.", + "Document, e.g. PDF." + ], + "description": "The modality associated with this token count.", + "enum": [ + "MODALITY_UNSPECIFIED", + "TEXT", + "IMAGE", + "VIDEO", + "AUDIO", + "DOCUMENT" + ] }, - "inputTokenLimit": { - "description": "Maximum number of input tokens allowed for this model.", + "tokenCount": { "type": "integer", + "description": "Number of tokens.", "format": "int32" + } + }, + "type": "object" + }, + "ToolConfig": { + "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "properties": { + "functionCallingConfig": { + "$ref": "#/components/schemas/FunctionCallingConfig", + "description": "Optional. Function calling config." + }, + "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" }, - "outputTokenLimit": { - "description": "Maximum number of output tokens available for this model.", - "type": "integer", - "format": "int32" + "retrievalConfig": { + "$ref": "#/components/schemas/RetrievalConfig", + "description": "Optional. Retrieval config." } - } + }, + "type": "object" }, - "TuningExample": { - "description": "A single example for tuning.", + "SpeakerVoiceConfig": { "type": "object", + "description": "The configuration for a single speaker in a multi speaker setup.", "properties": { - "textInput": { - "description": "Optional. Text model input.", - "type": "string" + "voiceConfig": { + "$ref": "#/components/schemas/VoiceConfig", + "description": "Required. The configuration for the voice to use." }, - "output": { - "description": "Required. The expected model output.", - "type": "string" + "speaker": { + "type": "string", + "description": "Required. The name of the speaker to use. Should be the same as in the prompt." } } }, - "GroundingAttribution": { + "ListFileSearchStoresResponse": { "type": "object", + "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", "properties": { - "sourceId": { - "$ref": "#/components/schemas/AttributionSourceId", - "description": "Output only. Identifier for the source contributing to this attribution.", - "readOnly": true + "fileSearchStores": { + "items": { + "$ref": "#/components/schemas/FileSearchStore" + }, + "type": "array", + "description": "The returned rag_stores." }, - "content": { - "$ref": "#/components/schemas/Content", - "description": "Grounding source content that makes up this attribution." + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } - }, - "description": "Attribution for a source that contributed to an answer." + } }, - "InlinedRequests": { - "type": "object", + "CustomMetadata": { + "description": "User provided metadata stored as key-value pairs.", "properties": { - "requests": { - "type": "array", - "description": "Required. The requests to be processed in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedRequest" - } + "stringListValue": { + "$ref": "#/components/schemas/StringList", + "description": "The StringList value of the metadata to store." + }, + "numericValue": { + "type": "number", + "format": "float", + "description": "The numeric value of the metadata to store." + }, + "key": { + "type": "string", + "description": "Required. The key of the metadata to store." + }, + "stringValue": { + "description": "The string value of the metadata to store.", + "type": "string" } }, - "description": "The requests to be processed in the batch if provided as part of the batch creation request." + "type": "object" }, - "CreateFileResponse": { - "description": "Response for `CreateFile`.", + "GenerateContentBatchOutput": { "type": "object", + "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", "properties": { - "file": { - "$ref": "#/components/schemas/File", - "description": "Metadata for the created file." + "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." + }, + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } } }, - "ListModelsResponse": { - "description": "Response from `ListModel` containing a paginated list of Models.", - "type": "object", + "SpeechConfig": { + "description": "Config for speech generation and transcription.", "properties": { - "models": { - "type": "array", - "description": "The returned Models.", - "items": { - "$ref": "#/components/schemas/Model" - } + "multiSpeakerVoiceConfig": { + "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", + "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "voiceConfig": { + "description": "The configuration in case of single-voice output.", + "$ref": "#/components/schemas/VoiceConfig" + }, + "languageCode": { + "description": "Optional. The IETF [BCP-47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt) language code that the user configured the app to use. Used for speech recognition and synthesis. Valid values are: `de-DE`, `en-AU`, `en-GB`, `en-IN`, `en-US`, `es-US`, `fr-FR`, `hi-IN`, `pt-BR`, `ar-XA`, `es-ES`, `fr-CA`, `id-ID`, `it-IT`, `ja-JP`, `tr-TR`, `vi-VN`, `bn-IN`, `gu-IN`, `kn-IN`, `ml-IN`, `mr-IN`, `ta-IN`, `te-IN`, `nl-NL`, `ko-KR`, `cmn-CN`, `pl-PL`, `ru-RU`, and `th-TH`.", "type": "string" } - } + }, + "type": "object" }, - "SpeakerVoiceConfig": { - "type": "object", + "FunctionResponseBlob": { + "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field.", "properties": { - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "Required. The configuration for the voice to use." - }, - "speaker": { - "description": "Required. The name of the speaker to use. Should be the same as in the prompt.", + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", "type": "string" + }, + "data": { + "type": "string", + "format": "byte", + "description": "Raw bytes for media formats." } }, - "description": "The configuration for a single speaker in a multi speaker setup." + "type": "object" }, - "Part": { - "description": "A datatype containing media that is part of a multi-part `Content` message. A `Part` consists of data which has an associated datatype. A `Part` can only contain one of the accepted types in `Part.data`. A `Part` must have a fixed IANA MIME type identifying the type and subtype of the media if the `inline_data` field is filled with raw bytes.", + "InputConfig": { + "description": "Configures the input to the batch request.", "properties": { - "thoughtSignature": { - "description": "Optional. An opaque signature for the thought so it can be reused in subsequent requests.", - "type": "string", - "format": "byte" + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedRequests" }, - "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.", - "$ref": "#/components/schemas/FunctionResponse" + "fileName": { + "type": "string", + "description": "The name of the `File` containing the input requests." + } + }, + "type": "object" + }, + "GroundingMetadata": { + "type": "object", + "description": "Metadata returned to client when grounding is enabled.", + "properties": { + "retrievalMetadata": { + "$ref": "#/components/schemas/RetrievalMetadata", + "description": "Metadata related to retrieval in the grounding flow." }, - "executableCode": { - "description": "Code generated by the model that is meant to be executed.", - "$ref": "#/components/schemas/ExecutableCode" + "webSearchQueries": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Web search queries for the following-up web search." }, - "text": { - "description": "Inline text.", - "type": "string" + "googleMapsWidgetContextToken": { + "type": "string", + "description": "Optional. Resource name of the Google Maps widget context token that can be used with the PlacesContextElement widget in order to render contextual data. Only populated in the case that grounding with Google Maps is enabled." }, - "partMetadata": { - "type": "object", - "description": "Custom metadata associated with the Part. Agents using genai.Part as content representation may need to keep track of the additional information. For example it can be name of a file/source from which the Part originates or a way to multiplex multiple Part streams.", - "additionalProperties": { - "description": "Properties of the object." - } + "groundingChunks": { + "type": "array", + "items": { + "$ref": "#/components/schemas/GroundingChunk" + }, + "description": "List of supporting references retrieved from specified grounding source. When streaming, this only contains the grounding chunks that have not been included in the grounding metadata of previous responses." }, - "fileData": { - "description": "URI based data.", - "$ref": "#/components/schemas/FileData" + "imageSearchQueries": { + "description": "Image search queries used for grounding.", + "items": { + "type": "string" + }, + "type": "array" }, - "toolCall": { - "$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." + "groundingSupports": { + "description": "List of grounding support.", + "type": "array", + "items": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" + } }, - "thought": { - "description": "Optional. Indicates if the part is thought from the model.", + "searchEntryPoint": { + "$ref": "#/components/schemas/SearchEntryPoint", + "description": "Optional. Google search entry for the following-up web searches." + } + } + }, + "ThinkingConfig": { + "description": "Config for thinking features.", + "properties": { + "includeThoughts": { + "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", "type": "boolean" }, - "videoMetadata": { - "$ref": "#/components/schemas/VideoMetadata", - "description": "Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data." - }, - "toolResponse": { - "description": "The output from a server-side `ToolCall` execution. This field is populated by the client with the results of executing the corresponding `ToolCall`.", - "$ref": "#/components/schemas/ToolResponse" - }, - "functionCall": { - "$ref": "#/components/schemas/FunctionCall", - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values." - }, - "mediaResolution": { - "description": "Optional. Media resolution for the input media.", - "$ref": "#/components/schemas/MediaResolution" - }, - "codeExecutionResult": { - "$ref": "#/components/schemas/CodeExecutionResult", - "description": "Result of executing the `ExecutableCode`." + "thinkingLevel": { + "x-enum-descriptions": [ + "Default value.", + "Little to no thinking.", + "Low thinking level.", + "Medium thinking level.", + "High thinking level." + ], + "description": "Optional. Controls the maximum depth of the model's internal reasoning process before it produces a response. If not specified, the default is HIGH. Recommended for Gemini 3 or later models. Use with earlier models results in an error.", + "enum": [ + "THINKING_LEVEL_UNSPECIFIED", + "MINIMAL", + "LOW", + "MEDIUM", + "HIGH" + ], + "type": "string" }, - "inlineData": { - "description": "Inline media bytes.", - "$ref": "#/components/schemas/Blob" + "thinkingBudget": { + "type": "integer", + "description": "The number of thoughts tokens that the model should generate.", + "format": "int32" } }, "type": "object" }, - "Document": { - "description": "A `Document` is a collection of `Chunk`s.", - "type": "object", + "GroundingPassageId": { + "description": "Identifier for a part within a `GroundingPassage`.", "properties": { - "createTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `Document` was created." - }, - "name": { - "description": "Immutable. Identifier. The `Document` resource name. The ID (name excluding the \"fileSearchStores/*/documents/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be derived from `display_name` along with a 12 character random suffix. Example: `fileSearchStores/{file_search_store_id}/documents/my-awesome-doc-123a456b789c`", - "type": "string" - }, - "updateTime": { - "description": "Output only. The Timestamp of when the `Document` was last updated.", + "partIndex": { + "format": "int32", + "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", "readOnly": true, - "type": "string", - "format": "google-datetime" + "type": "integer" }, - "state": { + "passageId": { + "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", "readOnly": true, - "type": "string", - "description": "Output only. Current state of the `Document`.", - "enum": [ - "STATE_UNSPECIFIED", - "STATE_PENDING", - "STATE_ACTIVE", - "STATE_FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Some `Chunks` of the `Document` are being processed (embedding and vector storage).", - "All `Chunks` of the `Document` is processed and available for querying.", - "Some `Chunks` of the `Document` failed processing." - ] - }, - "sizeBytes": { - "description": "Output only. The size of raw bytes ingested into the Document.", + "type": "string" + } + }, + "type": "object" + }, + "Web": { + "type": "object", + "description": "Chunk from the web.", + "properties": { + "uri": { "readOnly": true, "type": "string", - "format": "int64" + "description": "Output only. URI reference of the chunk." }, - "mimeType": { - "description": "Output only. The mime type of the Document.", + "title": { + "description": "Output only. Title of the chunk.", "readOnly": true, "type": "string" - }, - "displayName": { - "description": "Optional. The human-readable display name for the `Document`. The display name must be no more than 512 characters in length, including spaces. Example: \"Semantic Retriever Documentation\"", - "type": "string" - }, - "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`.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - } } } }, - "CountTokensRequest": { + "ListGeneratedFilesResponse": { + "type": "object", + "description": "Response for `ListGeneratedFiles`.", "properties": { - "contents": { - "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.", + "generatedFiles": { "items": { - "$ref": "#/components/schemas/Content" + "$ref": "#/components/schemas/GeneratedFile" }, - "type": "array" + "type": "array", + "description": "The list of `GeneratedFile`s." }, - "generateContentRequest": { - "description": "Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like [system instructions](https://ai.google.dev/gemini-api/docs/system-instructions), and/or function declarations for [function calling](https://ai.google.dev/gemini-api/docs/function-calling). `Model`s/`Content`s and `generate_content_request`s are mutually exclusive. You can either send `Model` + `Content`s or a `generate_content_request`, but never both.", - "$ref": "#/components/schemas/GenerateContentRequest" + "nextPageToken": { + "type": "string", + "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call." } - }, - "type": "object", - "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`." + } }, - "GoogleMaps": { - "description": "The GoogleMaps Tool that provides geospatial context for the user's query.", + "ComputerUse": { "type": "object", + "description": "Computer Use tool type.", "properties": { - "enableWidget": { - "description": "Optional. Whether to return a widget context token in the GroundingMetadata of the response. Developers can use the widget context token to render a Google Maps widget with geospatial context related to the places that the model references in the response.", - "type": "boolean" + "excludedPredefinedFunctions": { + "items": { + "type": "string" + }, + "type": "array", + "description": "Optional. By default, predefined functions are included in the final model call. Some of them can be explicitly excluded from being automatically included. This can serve two purposes: 1. Using a more restricted / different action space. 2. Improving the definitions / instructions of predefined functions." + }, + "environment": { + "x-enum-descriptions": [ + "Defaults to browser.", + "Operates in a web browser." + ], + "description": "Required. The environment being operated.", + "enum": [ + "ENVIRONMENT_UNSPECIFIED", + "ENVIRONMENT_BROWSER" + ], + "type": "string" } } }, - "LatLng": { + "ListOperationsResponse": { "type": "object", + "description": "The response message for Operations.ListOperations.", "properties": { - "latitude": { - "type": "number", - "format": "double", - "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." + "operations": { + "items": { + "$ref": "#/components/schemas/Operation" + }, + "type": "array", + "description": "A list of operations that matches the specified filter in the request." }, - "longitude": { - "type": "number", - "format": "double", - "description": "The longitude in degrees. It must be in the range [-180.0, +180.0]." + "nextPageToken": { + "type": "string", + "description": "The standard List next-page token." + }, + "unreachable": { + "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", + "type": "array", + "items": { + "type": "string" + } } - }, - "description": "An object that represents a latitude/longitude pair. This is expressed as a pair of doubles to represent degrees latitude and degrees longitude. Unless specified otherwise, this object must conform to the WGS84 standard. Values must be within normalized ranges." + } }, - "VideoFileMetadata": { - "description": "Metadata for a video `File`.", + "SearchTypes": { "type": "object", + "description": "Different types of search that can be enabled on the GoogleSearch tool.", "properties": { - "videoDuration": { - "description": "Duration of the video.", - "type": "string", - "format": "google-duration" + "imageSearch": { + "$ref": "#/components/schemas/ImageSearch", + "description": "Optional. Enables image search. Image bytes are returned." + }, + "webSearch": { + "description": "Optional. Enables web search. Only text results are returned.", + "$ref": "#/components/schemas/WebSearch" } } }, - "StreamableHttpTransport": { - "description": "A transport that can stream HTTP requests and responses. Next ID: 6", + "BatchStats": { + "description": "Stats about the batch.", "properties": { - "sseReadTimeout": { - "description": "Timeout for SSE read operations.", + "requestCount": { + "format": "int64", + "description": "Output only. The number of requests in the batch.", + "readOnly": true, + "type": "string" + }, + "successfulRequestCount": { + "readOnly": true, "type": "string", - "format": "google-duration" + "description": "Output only. The number of requests that were successfully processed.", + "format": "int64" }, - "headers": { - "type": "object", - "description": "Optional: Fields for authentication headers, timeouts, etc., if needed.", - "additionalProperties": { - "type": "string" - } + "pendingRequestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that are still pending processing." }, - "url": { - "description": "The full URL for the MCPServer endpoint. Example: \"https://api.example.com/mcp\"", + "failedRequestCount": { + "format": "int64", + "description": "Output only. The number of requests that failed to be processed.", + "readOnly": true, "type": "string" + } + }, + "type": "object" + }, + "GoogleAiGenerativelanguageV1betaSegment": { + "type": "object", + "description": "Segment of the content.", + "properties": { + "partIndex": { + "description": "The index of a Part object within its parent Content object.", + "format": "int32", + "type": "integer" }, - "timeout": { + "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": { + "format": "int32", + "description": "End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.", + "type": "integer" + }, + "text": { "type": "string", - "format": "google-duration", - "description": "HTTP timeout for regular operations." + "description": "The text corresponding to the segment from the response." + } + } + }, + "ListDocumentsResponse": { + "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "properties": { + "documents": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Document" + }, + "description": "The returned `Document`s." }, - "terminateOnClose": { - "description": "Whether to close the client session when the transport closes.", - "type": "boolean" + "nextPageToken": { + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "type": "string" } }, "type": "object" }, - "RetrievalConfig": { + "CountTokensRequest": { + "type": "object", + "description": "Counts the number of tokens in the `prompt` sent to a model. Models may tokenize text differently, so each model may return a different `token_count`.", "properties": { - "latLng": { - "$ref": "#/components/schemas/LatLng", - "description": "Optional. The location of the user." + "contents": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Content" + }, + "description": "Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set." }, - "languageCode": { - "description": "Optional. The language code of the user. Language code for content. Use language tags defined by [BCP47](https://www.rfc-editor.org/rfc/bcp/bcp47.txt).", + "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.", + "$ref": "#/components/schemas/GenerateContentRequest" + } + } + }, + "InputEmbedContentConfig": { + "description": "Configures the input to the batch request.", + "properties": { + "requests": { + "description": "The requests to be processed in the batch.", + "$ref": "#/components/schemas/InlinedEmbedContentRequests" + }, + "fileName": { + "description": "The name of the `File` containing the input requests.", "type": "string" } }, - "type": "object", - "description": "Retrieval config." + "type": "object" }, - "Candidate": { + "UploadToFileSearchStoreRequest": { + "description": "Request for `UploadToFileSearchStore`.", "properties": { - "logprobsResult": { - "description": "Output only. Log-likelihood scores for the response tokens and top tokens", - "$ref": "#/components/schemas/LogprobsResult", - "readOnly": true - }, - "urlContextMetadata": { - "description": "Output only. Metadata related to url context retrieval tool.", - "$ref": "#/components/schemas/UrlContextMetadata", - "readOnly": true - }, - "finishReason": { - "readOnly": true, - "type": "string", - "x-enum-descriptions": [ - "Default value. This value is unused.", - "Natural stop point of the model or provided stop sequence.", - "The maximum number of tokens as specified in the request was reached.", - "The response candidate content was flagged for safety reasons.", - "The response candidate content was flagged for recitation reasons.", - "The response candidate content was flagged for using an unsupported language.", - "Unknown reason.", - "Token generation stopped because the content contains forbidden terms.", - "Token generation stopped for potentially containing prohibited content.", - "Token generation stopped because the content potentially contains Sensitive Personally Identifiable Information (SPII).", - "The function call generated by the model is invalid.", - "Token generation stopped because generated images contain safety violations.", - "Image generation stopped because generated images has other prohibited content.", - "Image generation stopped because of other miscellaneous issue.", - "The model was expected to generate an image, but none was generated.", - "Image generation stopped due to recitation.", - "Model generated a tool call but no tools were enabled in the request.", - "Model called too many tools consecutively, thus the system exited execution.", - "Request has at least one thought signature missing.", - "Finished due to malformed response." - ], - "description": "Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.", - "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" - ] + "chunkingConfig": { + "$ref": "#/components/schemas/ChunkingConfig", + "description": "Optional. Config for telling the service how to chunk the data. If not provided, the service will use default parameters." }, - "groundingAttributions": { - "description": "Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.", - "items": { - "$ref": "#/components/schemas/GroundingAttribution" - }, - "readOnly": true, - "type": "array" + "mimeType": { + "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", + "type": "string" }, - "safetyRatings": { - "description": "List of ratings for the safety of a response candidate. There is at most one rating per category.", + "displayName": { + "type": "string", + "description": "Optional. Display name of the created document." + }, + "customMetadata": { + "description": "Custom metadata to be associated with the data.", "items": { - "$ref": "#/components/schemas/SafetyRating" + "$ref": "#/components/schemas/CustomMetadata" }, "type": "array" + } + }, + "type": "object" + }, + "WebSearch": { + "type": "object", + "description": "Standard web search for grounding and related configurations.", + "properties": {} + }, + "EmbedContentConfig": { + "description": "Configurations for the EmbedContent request.", + "properties": { + "taskType": { + "description": "Optional. The task type of the embedding.", + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" + ], + "x-enum-descriptions": [ + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." + ], + "type": "string" }, - "citationMetadata": { - "readOnly": true, - "$ref": "#/components/schemas/CitationMetadata", - "description": "Output only. Citation information for model-generated candidate. This field may be populated with recitation information for any text included in the `content`. These are passages that are \"recited\" from copyrighted material in the foundational LLM's training data." + "documentOcr": { + "type": "boolean", + "description": "Optional. Whether to enable OCR for document content." }, - "tokenCount": { - "description": "Output only. Token count for this candidate.", - "readOnly": true, + "autoTruncate": { + "type": "boolean", + "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length." + }, + "outputDimensionality": { "type": "integer", + "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", "format": "int32" }, - "avgLogprobs": { - "readOnly": true, - "type": "number", - "format": "double", - "description": "Output only. Average log probability score of the candidate." - }, - "content": { - "readOnly": true, - "$ref": "#/components/schemas/Content", - "description": "Output only. Generated content returned from the model." + "title": { + "description": "Optional. The title for the text.", + "type": "string" }, - "finishMessage": { - "description": "Optional. Output only. Details the reason why the model stopped generating tokens. This is populated only when `finish_reason` is set.", + "audioTrackExtraction": { + "type": "boolean", + "description": "Optional. Whether to extract audio from video content." + } + }, + "type": "object" + }, + "TuningSnapshot": { + "description": "Record for a single tuning step.", + "properties": { + "computeTime": { + "description": "Output only. The timestamp when this metric was computed.", + "format": "google-datetime", "readOnly": true, "type": "string" }, - "groundingMetadata": { - "$ref": "#/components/schemas/GroundingMetadata", - "description": "Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.", - "readOnly": true - }, - "index": { + "epoch": { "readOnly": true, "type": "integer", "format": "int32", - "description": "Output only. Index of the candidate in the list of response candidates." - } - }, - "type": "object", - "description": "A response candidate generated from the model." - }, - "InlinedEmbedContentResponse": { - "description": "The response to a single request in the batch.", - "properties": { - "error": { - "$ref": "#/components/schemas/Status", - "description": "Output only. The error encountered while processing the request.", - "readOnly": true + "description": "Output only. The epoch this step was part of." }, - "response": { + "meanLoss": { "readOnly": true, - "$ref": "#/components/schemas/EmbedContentResponse", - "description": "Output only. The response to the request." + "type": "number", + "format": "float", + "description": "Output only. The mean loss of the training examples for this step." }, - "metadata": { + "step": { + "description": "Output only. The tuning step.", + "format": "int32", "readOnly": true, - "type": "object", - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - } + "type": "integer" } }, "type": "object" }, - "GenerateContentBatch": { - "type": "object", + "Schema": { + "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", "properties": { - "updateTime": { - "description": "Output only. The time at which the batch was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "enum": { + "type": "array", + "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\"]}" }, - "priority": { + "format": { "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." + "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality." }, - "createTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch was created." + "example": { + "description": "Optional. Example of the object. Will only populated when the object is the root." }, - "displayName": { - "description": "Required. The user-defined name of this batch.", - "type": "string" + "nullable": { + "description": "Optional. Indicates if the value may be null.", + "type": "boolean" }, - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" + "required": { + "description": "Optional. Required properties of Type.OBJECT.", + "type": "array", + "items": { + "type": "string" + } }, - "inputConfig": { - "$ref": "#/components/schemas/InputConfig", - "description": "Required. Input configuration of the instances on which batch processing are performed." + "anyOf": { + "type": "array", + "items": { + "$ref": "#/components/schemas/Schema" + }, + "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list." }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + "properties": { + "description": "Optional. Properties of Type.OBJECT.", + "type": "object", + "additionalProperties": { + "$ref": "#/components/schemas/Schema" + } }, - "output": { - "readOnly": true, - "description": "Output only. The output of the batch request.", - "$ref": "#/components/schemas/GenerateContentBatchOutput" + "items": { + "description": "Optional. Schema of the elements of Type.ARRAY.", + "$ref": "#/components/schemas/Schema" }, - "endTime": { - "description": "Output only. The time at which the batch processing completed.", - "readOnly": true, + "minItems": { "type": "string", - "format": "google-datetime" + "format": "int64", + "description": "Optional. Minimum number of the elements for Type.ARRAY." }, - "batchStats": { - "$ref": "#/components/schemas/BatchStats", - "description": "Output only. Stats about the batch.", - "readOnly": true + "minimum": { + "type": "number", + "format": "double", + "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER" }, - "state": { - "readOnly": true, + "default": { + "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + }, + "description": { + "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", + "type": "string" + }, + "maximum": { + "type": "number", + "format": "double", + "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER" + }, + "minLength": { + "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "format": "int64", + "type": "string" + }, + "minProperties": { "type": "string", - "x-enum-descriptions": [ - "The batch state is unspecified.", - "The service is preparing to run the batch.", - "The batch is in progress.", - "The batch completed successfully.", - "The batch failed.", - "The batch has been cancelled.", - "The batch has expired." - ], - "description": "Output only. The state of the batch.", - "enum": [ - "BATCH_STATE_UNSPECIFIED", - "BATCH_STATE_PENDING", - "BATCH_STATE_RUNNING", - "BATCH_STATE_SUCCEEDED", - "BATCH_STATE_FAILED", - "BATCH_STATE_CANCELLED", - "BATCH_STATE_EXPIRED" - ] - } - }, - "description": "A resource representing a batch of `GenerateContent` requests." - }, - "CustomLongRunningOperation": { - "type": "object", - "properties": { - "error": { - "description": "The error result of the operation in case of failure or cancellation.", - "$ref": "#/components/schemas/Status" + "description": "Optional. Minimum number of the properties for Type.OBJECT.", + "format": "int64" }, - "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." - } + "pattern": { + "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", + "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}`.", + "maxProperties": { + "format": "int64", + "description": "Optional. Maximum number of the properties for Type.OBJECT.", "type": "string" }, - "metadata": { - "type": "object", - "description": "Service-specific metadata associated with the operation. It typically contains progress information and common metadata such as create time. Some services might not provide such metadata. Any method that returns a long-running operation should document the metadata type, if any.", - "additionalProperties": { - "description": "Properties of the object. Contains field @type with type URL." - } + "title": { + "description": "Optional. The title of the schema.", + "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" - } - } - }, - "CodeExecution": { - "properties": {}, - "type": "object", - "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool." - }, - "ListCachedContentsResponse": { - "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages.", + "maxItems": { + "format": "int64", + "description": "Optional. Maximum number of the elements for Type.ARRAY.", "type": "string" }, - "cachedContents": { - "description": "List of cached contents.", + "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": { - "$ref": "#/components/schemas/CachedContent" - }, - "type": "array" + "type": "string" + } + }, + "type": { + "type": "string", + "x-enum-descriptions": [ + "Not specified, should not be used.", + "String type.", + "Number type.", + "Integer type.", + "Boolean type.", + "Array type.", + "Object type.", + "Null type." + ], + "description": "Required. Data type.", + "enum": [ + "TYPE_UNSPECIFIED", + "STRING", + "NUMBER", + "INTEGER", + "BOOLEAN", + "ARRAY", + "OBJECT", + "NULL" + ] + }, + "maxLength": { + "type": "string", + "description": "Optional. Maximum length of the Type.STRING", + "format": "int64" } }, - "type": "object", - "description": "Response with CachedContents list." + "type": "object" }, - "FunctionResponseBlob": { + "GeneratedFile": { + "description": "A file generated on behalf of a user.", "properties": { "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples: - image/png - image/jpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see [Supported file formats](https://ai.google.dev/gemini-api/docs/prompting_with_media#supported_file_formats).", + "description": "MIME type of the generatedFile.", "type": "string" }, - "data": { + "name": { "type": "string", - "format": "byte", - "description": "Raw bytes for media formats." - } - }, - "type": "object", - "description": "Raw media bytes for function response. Text should not be sent as raw bytes, use the 'FunctionResponse.response' field." - }, - "EmbedContentResponse": { - "properties": { - "embedding": { - "$ref": "#/components/schemas/ContentEmbedding", - "description": "Output only. The embedding generated from the input content.", - "readOnly": true + "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`" }, - "usageMetadata": { + "state": { "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "description": "Output only. The state of the GeneratedFile.", + "enum": [ + "STATE_UNSPECIFIED", + "GENERATING", + "GENERATED", + "FAILED" + ], + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is used if the state is omitted.", + "Being generated.", + "Generated and is ready for download.", + "Failed to generate the GeneratedFile." + ] + }, + "error": { + "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", + "$ref": "#/components/schemas/Status" } }, - "type": "object", - "description": "The response to an `EmbedContentRequest`." + "type": "object" }, - "GenerateContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `BatchGenerateContentResponse` or the `GenerateContentBatch.output` field.", - "type": "object", + "Dataset": { + "description": "Dataset for training or validation.", "properties": { - "responsesFile": { - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `GenerateContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests.", - "readOnly": true, - "type": "string" - }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedResponses", - "readOnly": true + "examples": { + "description": "Optional. Inline examples with simple input/output text.", + "$ref": "#/components/schemas/TuningExamples" } - } + }, + "type": "object" }, - "RegisterFilesRequest": { - "description": "Request for `RegisterFiles`.", + "TuningExample": { "type": "object", + "description": "A single example for tuning.", "properties": { - "uris": { - "type": "array", - "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", - "items": { - "type": "string" - } - } - } - }, - "GroundingChunkCustomMetadata": { - "properties": { - "stringListValue": { - "description": "Optional. A list of string values for the metadata.", - "$ref": "#/components/schemas/GroundingChunkStringList" - }, - "numericValue": { - "description": "Optional. The numeric value of the metadata. The expected range for this value depends on the specific `key` used.", - "type": "number", - "format": "float" - }, - "stringValue": { - "description": "Optional. The string value of the metadata.", + "textInput": { + "description": "Optional. Text model input.", "type": "string" }, - "key": { - "description": "The key of the metadata.", + "output": { + "description": "Required. The expected model output.", "type": "string" } - }, - "type": "object", - "description": "User provided metadata about the GroundingFact." + } }, - "ListDocumentsResponse": { - "description": "Response from `ListDocuments` containing a paginated list of `Document`s. The `Document`s are sorted by ascending `document.create_time`.", + "GoogleSearchRetrieval": { + "description": "Tool to retrieve public web data for grounding, powered by Google.", "properties": { - "documents": { - "description": "The returned `Document`s.", - "items": { - "$ref": "#/components/schemas/Document" - }, - "type": "array" - }, - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "dynamicRetrievalConfig": { + "$ref": "#/components/schemas/DynamicRetrievalConfig", + "description": "Specifies the dynamic retrieval configuration for the given source." } }, "type": "object" }, - "CountTokensResponse": { - "type": "object", + "CachedContentUsageMetadata": { + "description": "Metadata on the usage of the cached content.", "properties": { - "totalTokens": { - "description": "The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.", - "type": "integer", - "format": "int32" - }, - "cachedContentTokenCount": { - "type": "integer", + "totalTokenCount": { "format": "int32", - "description": "Number of tokens in the cached part of the prompt (the cached content)." - }, - "promptTokensDetails": { - "readOnly": true, - "type": "array", - "description": "Output only. List of modalities that were processed in the request input.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - } - }, - "cacheTokensDetails": { - "description": "Output only. List of modalities that were processed in the cached content.", - "items": { - "$ref": "#/components/schemas/ModalityTokenCount" - }, - "readOnly": true, - "type": "array" + "description": "Total number of tokens that the cached content consumes.", + "type": "integer" } }, - "description": "A response from `CountTokens`. It returns the model's `token_count` for the `prompt`." + "type": "object" }, - "Tool": { + "VideoFileMetadata": { + "type": "object", + "description": "Metadata for a video `File`.", "properties": { - "googleMaps": { - "$ref": "#/components/schemas/GoogleMaps", - "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." - }, - "urlContext": { - "description": "Optional. Tool to support URL context retrieval.", - "$ref": "#/components/schemas/UrlContext" - }, - "googleSearch": { - "$ref": "#/components/schemas/GoogleSearch", - "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." - }, - "mcpServers": { - "description": "Optional. MCP Servers to connect to.", - "items": { - "$ref": "#/components/schemas/McpServer" - }, - "type": "array" - }, - "googleSearchRetrieval": { - "$ref": "#/components/schemas/GoogleSearchRetrieval", - "description": "Optional. Retrieval tool that is powered by Google search." - }, - "fileSearch": { - "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora.", - "$ref": "#/components/schemas/FileSearch" - }, - "codeExecution": { - "description": "Optional. Enables the model to execute code as part of generation.", - "$ref": "#/components/schemas/CodeExecution" - }, - "computerUse": { - "$ref": "#/components/schemas/ComputerUse", - "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations." - }, - "functionDeclarations": { - "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn.", - "items": { - "$ref": "#/components/schemas/FunctionDeclaration" - }, - "type": "array" + "videoDuration": { + "type": "string", + "format": "google-duration", + "description": "Duration of the video." } - }, - "type": "object", - "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16" + } }, - "GroundingChunkStringList": { - "description": "A list of string values.", + "GoogleSearch": { + "type": "object", + "description": "GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.", "properties": { - "values": { - "description": "The string values of the list.", - "items": { - "type": "string" - }, - "type": "array" + "timeRangeFilter": { + "description": "Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).", + "$ref": "#/components/schemas/Interval" + }, + "searchTypes": { + "$ref": "#/components/schemas/SearchTypes", + "description": "Optional. The set of search types to enable. If not set, web search is enabled by default." } - }, - "type": "object" + } }, - "PromptFeedback": { + "DynamicRetrievalConfig": { "type": "object", + "description": "Describes the options to customize dynamic retrieval.", "properties": { - "safetyRatings": { - "type": "array", - "description": "Ratings for safety of the prompt. There is at most one rating per category.", - "items": { - "$ref": "#/components/schemas/SafetyRating" - } - }, - "blockReason": { + "mode": { "type": "string", - "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", - "enum": [ - "BLOCK_REASON_UNSPECIFIED", - "SAFETY", - "OTHER", - "BLOCKLIST", - "PROHIBITED_CONTENT", - "IMAGE_SAFETY" - ], "x-enum-descriptions": [ - "Default value. This value is unused.", - "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", - "Prompt was blocked due to unknown reasons.", - "Prompt was blocked due to the terms which are included from the terminology blocklist.", - "Prompt was blocked due to prohibited content.", - "Candidates blocked due to unsafe image generation content." + "Always trigger retrieval.", + "Run retrieval only when system decides it is necessary." + ], + "description": "The mode of the predictor to be used in dynamic retrieval.", + "enum": [ + "MODE_UNSPECIFIED", + "MODE_DYNAMIC" ] + }, + "dynamicThreshold": { + "type": "number", + "description": "The threshold to be used in dynamic retrieval. If not set, a system default value is used.", + "format": "float" } - }, - "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`." + } }, - "EmbedContentConfig": { - "description": "Configurations for the EmbedContent request.", + "GenerateContentBatch": { "type": "object", + "description": "A resource representing a batch of `GenerateContent` requests.", "properties": { - "documentOcr": { - "description": "Optional. Whether to enable OCR for document content.", - "type": "boolean" + "updateTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was last updated.", + "readOnly": true, + "type": "string" }, - "taskType": { + "inputConfig": { + "description": "Required. Input configuration of the instances on which batch processing are performed.", + "$ref": "#/components/schemas/InputConfig" + }, + "model": { + "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", + "type": "string" + }, + "name": { + "readOnly": true, "type": "string", + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." + }, + "state": { + "description": "Output only. The state of the batch.", + "enum": [ + "BATCH_STATE_UNSPECIFIED", + "BATCH_STATE_PENDING", + "BATCH_STATE_RUNNING", + "BATCH_STATE_SUCCEEDED", + "BATCH_STATE_FAILED", + "BATCH_STATE_CANCELLED", + "BATCH_STATE_EXPIRED" + ], + "readOnly": true, "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." + "The batch state is unspecified.", + "The service is preparing to run the batch.", + "The batch is in progress.", + "The batch completed successfully.", + "The batch failed.", + "The batch has been cancelled.", + "The batch has expired." ], - "description": "Optional. The task type of the embedding.", - "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" - ] + "type": "string" }, - "outputDimensionality": { - "description": "Optional. Reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end.", - "type": "integer", - "format": "int32" + "endTime": { + "readOnly": true, + "type": "string", + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed." }, - "audioTrackExtraction": { - "description": "Optional. Whether to extract audio from video content.", - "type": "boolean" + "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." }, - "title": { - "description": "Optional. The title for the text.", - "type": "string" + "batchStats": { + "readOnly": true, + "$ref": "#/components/schemas/BatchStats", + "description": "Output only. Stats about the batch." }, - "autoTruncate": { - "description": "Optional. Whether to silently truncate the input content if it's longer than the maximum sequence length.", - "type": "boolean" - } - } - }, - "EmbedContentBatchOutput": { - "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", - "properties": { - "responsesFile": { + "createTime": { "readOnly": true, "type": "string", - "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + "description": "Output only. The time at which the batch was created.", + "format": "google-datetime" }, - "inlinedResponses": { - "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests.", - "$ref": "#/components/schemas/InlinedEmbedContentResponses", - "readOnly": true - } - }, - "type": "object" - }, - "PrebuiltVoiceConfig": { - "description": "The configuration for the prebuilt speaker to use.", - "type": "object", - "properties": { - "voiceName": { - "description": "The name of the preset voice to use.", + "displayName": { + "description": "Required. The user-defined name of this batch.", "type": "string" + }, + "output": { + "readOnly": true, + "$ref": "#/components/schemas/GenerateContentBatchOutput", + "description": "Output only. The output of the batch request." } } }, "EmbedContentBatch": { + "type": "object", "description": "A resource representing a batch of `EmbedContent` requests.", "properties": { - "displayName": { - "description": "Required. The user-defined name of this batch.", + "createTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch was created.", + "readOnly": true, "type": "string" }, + "batchStats": { + "description": "Output only. Stats about the batch.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchStats" + }, + "output": { + "description": "Output only. The output of the batch request.", + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentBatchOutput" + }, + "displayName": { + "type": "string", + "description": "Required. The user-defined name of this batch." + }, + "inputConfig": { + "$ref": "#/components/schemas/InputEmbedContentConfig", + "description": "Required. Input configuration of the instances on which batch processing are performed." + }, "model": { "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", "type": "string" @@ -5027,19 +5066,23 @@ "format": "google-datetime", "description": "Output only. The time at which the batch was last updated." }, + "endTime": { + "format": "google-datetime", + "description": "Output only. The time at which the batch processing completed.", + "readOnly": true, + "type": "string" + }, "priority": { "description": "Optional. The priority of the batch. Batches with a higher priority value will be processed before batches with a lower priority value. Negative values are allowed. Default is 0.", - "type": "string", - "format": "int64" + "format": "int64", + "type": "string" }, - "createTime": { - "description": "Output only. The time at which the batch was created.", + "name": { + "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`.", "readOnly": true, - "type": "string", - "format": "google-datetime" + "type": "string" }, "state": { - "readOnly": true, "type": "string", "x-enum-descriptions": [ "The batch state is unspecified.", @@ -5050,6 +5093,7 @@ "The batch has been cancelled.", "The batch has expired." ], + "readOnly": true, "description": "Output only. The state of the batch.", "enum": [ "BATCH_STATE_UNSPECIFIED", @@ -5060,1610 +5104,1566 @@ "BATCH_STATE_CANCELLED", "BATCH_STATE_EXPIRED" ] - }, - "inputConfig": { - "description": "Required. Input configuration of the instances on which batch processing are performed.", - "$ref": "#/components/schemas/InputEmbedContentConfig" - }, - "name": { - "readOnly": true, - "type": "string", - "description": "Output only. Identifier. Resource name of the batch. Format: `batches/{batch_id}`." - }, - "output": { - "$ref": "#/components/schemas/EmbedContentBatchOutput", - "description": "Output only. The output of the batch request.", - "readOnly": true - }, - "endTime": { - "readOnly": true, - "type": "string", - "format": "google-datetime", - "description": "Output only. The time at which the batch processing completed." - }, - "batchStats": { - "description": "Output only. Stats about the batch.", - "$ref": "#/components/schemas/EmbedContentBatchStats", - "readOnly": true } - }, - "type": "object" + } }, - "ImageConfig": { + "FunctionResponse": { + "type": "object", + "description": "The result output from a `FunctionCall` that contains a string representing the `FunctionDeclaration.name` and a structured JSON object containing any output from the function is used as context to the model. This should contain the result of a`FunctionCall` made based on model prediction.", "properties": { - "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" + "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`." }, - "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`.", + "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" - } - }, - "type": "object", - "description": "Config for image generation features." - }, - "GroundingChunk": { - "type": "object", - "properties": { - "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.", - "$ref": "#/components/schemas/RetrievedContext" + "name": { + "type": "string", + "description": "Required. The name of the function to call. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 128." }, - "maps": { - "$ref": "#/components/schemas/Maps", - "description": "Optional. Grounding chunk from Google Maps." + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + }, + "description": "Required. The function response in JSON object format. Callers can use any keys of their choice that fit the function's syntax to return the function output, e.g. \"output\", \"result\", etc. In particular, if the function call failed to execute, the response can have an \"error\" key to return error details to the model." + }, + "scheduling": { + "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.", + "enum": [ + "SCHEDULING_UNSPECIFIED", + "SILENT", + "WHEN_IDLE", + "INTERRUPT" + ], + "x-enum-descriptions": [ + "This value is unused.", + "Only add the result to the conversation context, do not interrupt or trigger generation.", + "Add the result to the conversation context, and prompt to generate output without interrupting ongoing generation.", + "Add the result to the conversation context, interrupt ongoing generation and prompt to generate output." + ] }, - "web": { - "$ref": "#/components/schemas/Web", - "description": "Grounding chunk from the web." - } - }, - "description": "A `GroundingChunk` represents a segment of supporting evidence that grounds the model's response. It can be a chunk from the web, a retrieved context from a file, or information from Google Maps." - }, - "TopCandidates": { - "description": "Candidates with top log probabilities at each decoding step.", - "type": "object", - "properties": { - "candidates": { - "description": "Sorted by log probability in descending order.", + "parts": { + "description": "Optional. Ordered `Parts` that constitute a function response. Parts may have different IANA MIME types.", + "type": "array", "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - }, - "type": "array" + "$ref": "#/components/schemas/FunctionResponsePart" + } } } }, - "Blob": { - "type": "object", + "ReviewSnippet": { + "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", "properties": { - "mimeType": { - "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "googleMapsUri": { + "description": "A link that corresponds to the user review on Google Maps.", "type": "string" }, - "data": { - "description": "Raw bytes for media formats.", - "type": "string", - "format": "byte" + "reviewId": { + "description": "The ID of the review snippet.", + "type": "string" + }, + "title": { + "description": "Title of the review.", + "type": "string" } }, - "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field." + "type": "object" }, - "StringList": { + "LogprobsResult": { "type": "object", + "description": "Logprobs Result", "properties": { - "values": { - "description": "The string values of the metadata to store.", + "logProbabilitySum": { + "description": "Sum of log probabilities for all tokens.", + "format": "float", + "type": "number" + }, + "chosenCandidates": { + "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", + "type": "array", "items": { - "type": "string" + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + }, + "topCandidates": { + "description": "Length = total number of decoding steps.", + "items": { + "$ref": "#/components/schemas/TopCandidates" }, "type": "array" } - }, - "description": "User provided string values assigned to a single metadata key." + } }, - "GroundingPassageId": { - "description": "Identifier for a part within a `GroundingPassage`.", + "CodeExecution": { + "description": "Tool that executes code generated by the model, and automatically returns the result to the model. See also `ExecutableCode` and `CodeExecutionResult` which are only generated when using this tool.", + "properties": {}, + "type": "object" + }, + "EmbedContentResponse": { + "description": "The response to an `EmbedContentRequest`.", "properties": { - "passageId": { - "description": "Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`.", + "embedding": { + "description": "Output only. The embedding generated from the input content.", "readOnly": true, - "type": "string" + "$ref": "#/components/schemas/ContentEmbedding" }, - "partIndex": { - "description": "Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.", + "usageMetadata": { + "description": "Output only. The usage metadata for the request.", "readOnly": true, - "type": "integer", - "format": "int32" + "$ref": "#/components/schemas/EmbeddingUsageMetadata" } }, "type": "object" }, - "RegisterFilesResponse": { - "properties": { - "files": { - "description": "The registered files to be used when calling GenerateContent.", - "items": { - "$ref": "#/components/schemas/File" - }, - "type": "array" - } - }, - "type": "object", - "description": "Response for `RegisterFiles`." - }, - "VoiceConfig": { - "description": "The configuration for the voice to use.", + "Blob": { "type": "object", + "description": "Raw media bytes. Text should not be sent as raw bytes, use the 'text' field.", "properties": { - "prebuiltVoiceConfig": { - "description": "The configuration for the prebuilt voice to use.", - "$ref": "#/components/schemas/PrebuiltVoiceConfig" + "data": { + "type": "string", + "description": "Raw bytes for media formats.", + "format": "byte" + }, + "mimeType": { + "description": "The IANA standard MIME type of the source data. Examples of supported types: - Images: image/png, image/jpeg, image/jpg, image/webp, image/heic, image/heif, image/gif, image/avif - Audio: audio/*, video/audio/s16le, video/audio/wav - Video: video/* - Text: text/plain, text/html, text/css, text/javascript, text/x-typescript, text/csv, text/markdown, text/x-python, text/xml, text/rtf, video/text/timestamp - Applications: application/x-javascript, application/x-typescript, application/x-python-code, application/json, application/x-ipynb+json, application/rtf, application/pdf For additional context, see [Supported file formats](https://ai.google.dev/gemini-api/docs/file-input-methods#supported-content-types). //", + "type": "string" } } }, - "ContentEmbedding": { + "CustomLongRunningOperation": { "properties": { - "values": { - "type": "array", - "description": "The embedding values. This is for 3P users only and will not be populated for 1P calls.", - "items": { - "type": "number", - "format": "float" - } + "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" }, - "shape": { - "description": "This field stores the soft tokens tensor frame shape (e.g. [1, 1, 256, 2048]).", - "items": { - "type": "integer", - "format": "int32" + "response": { + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." }, - "type": "array" - } - }, - "type": "object", - "description": "A list of floats representing an embedding." - }, - "FunctionCall": { - "description": "A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.", - "properties": { + "description": "The normal, successful response of the operation. If the original method returns no data on success, such as `Delete`, the response is `google.protobuf.Empty`. If the original method is standard `Get`/`Create`/`Update`, the response should be the resource. For other methods, the response should have the type `XxxResponse`, where `Xxx` is the original method name. For example, if the original method name is `TakeSnapshot()`, the inferred response type is `TakeSnapshotResponse`." + }, "name": { - "description": "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.", + "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" }, - "args": { + "metadata": { "type": "object", - "description": "Optional. The function parameters and values in JSON object format.", "additionalProperties": { - "description": "Properties of the object." - } + "description": "Properties of the object. Contains field @type with type URL." + }, + "description": "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." }, - "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" + "error": { + "description": "The error result of the operation in case of failure or cancellation.", + "$ref": "#/components/schemas/Status" } }, "type": "object" }, - "WebSearch": { - "properties": {}, - "type": "object", - "description": "Standard web search for grounding and related configurations." - }, - "ThinkingConfig": { - "description": "Config for thinking features.", + "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.", "properties": { - "thinkingBudget": { - "type": "integer", - "format": "int32", - "description": "The number of thoughts tokens that the model should generate." - }, - "thinkingLevel": { + "message": { "type": "string", + "description": "A message explaining the model status." + }, + "modelStage": { "x-enum-descriptions": [ - "Default value.", - "Little to no thinking.", - "Low thinking level.", - "Medium thinking level.", - "High thinking level." + "Unspecified model stage.", + "The underlying model is subject to lots of tunings.", + "Models in this stage are for experimental purposes only.", + "Models in this stage are more mature than experimental models.", + "Models in this stage are considered stable and ready for production use.", + "If the model is on this stage, it means that this model is on the path to deprecation in near future. Only existing customers can use this model.", + "Models in this stage are deprecated. These models cannot be used.", + "Models in this stage are retired. These models cannot be used." ], - "description": "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.", + "enumDeprecated": [ + false, + true, + false, + false, + false, + false, + true, + false + ], + "type": "string", + "description": "The stage of the underlying model.", "enum": [ - "THINKING_LEVEL_UNSPECIFIED", - "MINIMAL", - "LOW", - "MEDIUM", - "HIGH" + "MODEL_STAGE_UNSPECIFIED", + "UNSTABLE_EXPERIMENTAL", + "EXPERIMENTAL", + "PREVIEW", + "STABLE", + "LEGACY", + "DEPRECATED", + "RETIRED" ] }, - "includeThoughts": { - "description": "Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.", - "type": "boolean" + "retirementTime": { + "type": "string", + "format": "google-datetime", + "description": "The time at which the model will be retired." } }, "type": "object" }, - "File": { - "description": "A file uploaded to the API. Next ID: 15", + "EmbedContentRequest": { + "description": "Request containing the `Content` for the model to embed.", "properties": { - "expirationTime": { - "description": "Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "uri": { - "readOnly": true, - "type": "string", - "description": "Output only. The uri of the `File`." - }, - "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" - }, - "error": { - "$ref": "#/components/schemas/Status", - "description": "Output only. Error status if File processing failed.", - "readOnly": true - }, - "name": { - "description": "Immutable. Identifier. The `File` resource name. The ID (name excluding the \"files/\" prefix) can contain up to 40 characters that are lowercase alphanumeric or dashes (-). The ID cannot start or end with a dash. If the name is empty on create, a unique name will be generated. Example: `files/123-456`", - "type": "string" - }, - "mimeType": { - "description": "Output only. MIME type of the file.", - "readOnly": true, - "type": "string" + "content": { + "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", + "$ref": "#/components/schemas/Content" }, - "source": { - "description": "Source of the File.", - "enum": [ - "SOURCE_UNSPECIFIED", - "UPLOADED", - "GENERATED", - "REGISTERED" + "taskType": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "deprecated": true, + "enum": [ + "TASK_TYPE_UNSPECIFIED", + "RETRIEVAL_QUERY", + "RETRIEVAL_DOCUMENT", + "SEMANTIC_SIMILARITY", + "CLASSIFICATION", + "CLUSTERING", + "QUESTION_ANSWERING", + "FACT_VERIFICATION", + "CODE_RETRIEVAL_QUERY" ], "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." + "Unset value, which will default to one of the other enum values.", + "Specifies the given text is a query in a search/retrieval setting.", + "Specifies the given text is a document from the corpus being searched.", + "Specifies the given text will be used for STS.", + "Specifies that the given text will be classified.", + "Specifies that the embeddings will be used for clustering.", + "Specifies that the given text will be used for question answering.", + "Specifies that the given text will be used for fact verification.", + "Specifies that the given text will be used for code retrieval." ], "type": "string" }, - "updateTime": { - "description": "Output only. The timestamp of when the `File` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" - }, - "createTime": { - "description": "Output only. The timestamp of when the `File` was created.", - "readOnly": true, + "model": { "type": "string", - "format": "google-datetime" + "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}`" }, - "videoMetadata": { - "readOnly": true, - "description": "Output only. Metadata for a video.", - "$ref": "#/components/schemas/VideoFileMetadata" + "outputDimensionality": { + "format": "int32", + "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", + "deprecated": true, + "type": "integer" }, - "downloadUri": { - "description": "Output only. The download uri of the `File`.", - "readOnly": true, + "title": { + "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.", + "deprecated": true, "type": "string" }, - "sha256Hash": { - "description": "Output only. SHA-256 hash of the uploaded bytes.", - "readOnly": true, - "type": "string", - "format": "byte" - }, - "state": { - "readOnly": true, - "type": "string", - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "File is being processed and cannot be used for inference yet.", - "File is processed and available for inference.", - "File failed processing." - ], - "description": "Output only. Processing state of the File.", - "enum": [ - "STATE_UNSPECIFIED", - "PROCESSING", - "ACTIVE", - "FAILED" - ] - }, - "sizeBytes": { - "readOnly": true, - "type": "string", - "format": "int64", - "description": "Output only. Size of the file in bytes." + "embedContentConfig": { + "$ref": "#/components/schemas/EmbedContentConfig", + "description": "Optional. Configuration for the EmbedContent request." } }, "type": "object" }, - "Dataset": { - "description": "Dataset for training or validation.", + "TopCandidates": { + "description": "Candidates with top log probabilities at each decoding step.", + "properties": { + "candidates": { + "description": "Sorted by log probability in descending order.", + "type": "array", + "items": { + "$ref": "#/components/schemas/LogprobsResultCandidate" + } + } + }, + "type": "object" + }, + "VoiceConfig": { "type": "object", + "description": "The configuration for the voice to use.", "properties": { - "examples": { - "$ref": "#/components/schemas/TuningExamples", - "description": "Optional. Inline examples with simple input/output text." + "prebuiltVoiceConfig": { + "$ref": "#/components/schemas/PrebuiltVoiceConfig", + "description": "The configuration for the prebuilt voice to use." } } }, - "InputConfig": { + "CitationMetadata": { + "description": "A collection of source attributions for a piece of content.", "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" - }, - "requests": { - "$ref": "#/components/schemas/InlinedRequests", - "description": "The requests to be processed in the batch." + "citationSources": { + "items": { + "$ref": "#/components/schemas/CitationSource" + }, + "type": "array", + "description": "Citations to sources for a specific response." } }, - "type": "object", - "description": "Configures the input to the batch request." + "type": "object" }, - "BatchEmbedContentsResponse": { - "description": "The response to a `BatchEmbedContentsRequest`.", + "GoogleAiGenerativelanguageV1betaGroundingSupport": { "type": "object", + "description": "Grounding support.", "properties": { - "embeddings": { + "renderedParts": { + "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", "readOnly": true, "type": "array", - "description": "Output only. The embeddings for each request, in the same order as provided in the batch request.", "items": { - "$ref": "#/components/schemas/ContentEmbedding" + "type": "integer", + "format": "int32" } }, - "usageMetadata": { - "readOnly": true, - "description": "Output only. The usage metadata for the request.", - "$ref": "#/components/schemas/EmbeddingUsageMetadata" + "segment": { + "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", + "description": "Segment of the content this support belongs to." + }, + "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.", + "items": { + "type": "number", + "format": "float" + }, + "type": "array" + }, + "groundingChunkIndices": { + "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", + "items": { + "type": "integer", + "format": "int32" + }, + "type": "array" } } }, - "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", + "ImageConfig": { + "description": "Config for image generation features.", "properties": { - "id": { - "description": "Optional. Unique identifier of the `ExecutableCode` part. The server returns the `CodeExecutionResult` with the matching `id`.", - "type": "string" + "imageSize": { + "type": "string", + "description": "Optional. Specifies the size of generated images. Supported values are `512`, `1K`, `2K`, `4K`. If not specified, the model will use default value `1K`." }, - "language": { - "description": "Required. Programming language of the `code`.", - "enum": [ - "LANGUAGE_UNSPECIFIED", - "PYTHON" - ], - "x-enum-descriptions": [ - "Unspecified language. This value should not be used.", - "Python >= 3.10, with numpy and simpy available. Python is the default language." - ], + "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" + } + }, + "type": "object" + }, + "InlinedEmbedContentRequest": { + "description": "The request to be processed in the batch.", + "properties": { + "request": { + "description": "Required. The request to be processed in the batch.", + "$ref": "#/components/schemas/EmbedContentRequest" }, - "code": { - "description": "Required. The code to be executed.", - "type": "string" + "metadata": { + "description": "Optional. The metadata to be associated with the request.", + "type": "object", + "additionalProperties": { + "description": "Properties of the object." + } } - } + }, + "type": "object" }, "ListCorporaResponse": { "description": "Response from `ListCorpora` containing a paginated list of `Corpora`. The results are sorted by ascending `corpus.create_time`.", - "type": "object", "properties": { "corpora": { "description": "The returned corpora.", + "type": "array", "items": { "$ref": "#/components/schemas/Corpus" - }, - "type": "array" + } }, "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", - "type": "string" + "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." } - } + }, + "type": "object" }, - "GroundingMetadata": { - "type": "object", + "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.", "properties": { - "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": { - "$ref": "#/components/schemas/GroundingChunk" - } + "name": { + "type": "string", + "description": "Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores, colons, dots, and dashes, with a maximum length of 128." }, - "webSearchQueries": { - "description": "Web search queries for the following-up web search.", - "items": { - "type": "string" - }, - "type": "array" + "response": { + "description": "Optional. Describes the output from this function in JSON Schema format. Reflects the Open API 3.03 Response Object. The Schema defines the type used for the response value of the function.", + "$ref": "#/components/schemas/Schema" }, - "searchEntryPoint": { - "description": "Optional. Google search entry for the following-up web searches.", - "$ref": "#/components/schemas/SearchEntryPoint" + "description": { + "type": "string", + "description": "Required. A brief description of the function." }, - "groundingSupports": { - "type": "array", - "description": "List of grounding support.", - "items": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaGroundingSupport" - } + "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`." }, - "retrievalMetadata": { - "$ref": "#/components/schemas/RetrievalMetadata", - "description": "Metadata related to retrieval in the grounding flow." + "responseJsonSchema": { + "description": "Optional. Describes the output from this function in JSON Schema format. The value specified by the schema is the response value of the function. This field is mutually exclusive with `response`." }, - "imageSearchQueries": { - "description": "Image search queries used for grounding.", - "items": { - "type": "string" - }, - "type": "array" + "parameters": { + "$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." }, - "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.", + "behavior": { + "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." + ], + "description": "Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.", + "enum": [ + "UNSPECIFIED", + "BLOCKING", + "NON_BLOCKING" + ], "type": "string" } }, - "description": "Metadata returned to client when grounding is enabled." + "type": "object" + }, + "MultiSpeakerVoiceConfig": { + "description": "The configuration for the multi-speaker setup.", + "properties": { + "speakerVoiceConfigs": { + "description": "Required. All the enabled speaker voices.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SpeakerVoiceConfig" + } + } + }, + "type": "object" }, - "ChunkingConfig": { - "description": "Parameters for telling the service how to chunk the file. inspired by google3/cloud/ai/platform/extension/lib/retrieval/config/chunker_config.proto", + "EmbedContentBatchOutput": { + "type": "object", + "description": "The output of a batch request. This is returned in the `AsyncBatchEmbedContentResponse` or the `EmbedContentBatch.output` field.", "properties": { - "whiteSpaceConfig": { - "description": "White space chunking configuration.", - "$ref": "#/components/schemas/WhiteSpaceConfig" + "responsesFile": { + "readOnly": true, + "type": "string", + "description": "Output only. The file ID of the file containing the responses. The file will be a JSONL file with a single response per line. The responses will be `EmbedContentResponse` messages formatted as JSON. The responses will be written in the same order as the input requests." + }, + "inlinedResponses": { + "readOnly": true, + "$ref": "#/components/schemas/InlinedEmbedContentResponses", + "description": "Output only. The responses to the requests in the batch. Returned when the batch was built using inlined requests. The responses will be in the same order as the input requests." } - }, - "type": "object" + } }, - "ListFileSearchStoresResponse": { - "description": "Response from `ListFileSearchStores` containing a paginated list of `FileSearchStores`. The results are sorted by ascending `file_search_store.create_time`.", + "GenerateContentResponse": { + "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`.", "properties": { - "nextPageToken": { - "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.", + "modelVersion": { + "readOnly": true, + "type": "string", + "description": "Output only. The model version used to generate the response." + }, + "responseId": { + "description": "Output only. response_id is used to identify each response.", + "readOnly": true, "type": "string" }, - "fileSearchStores": { + "modelStatus": { + "readOnly": true, + "$ref": "#/components/schemas/ModelStatus", + "description": "Output only. The current model status of this model." + }, + "promptFeedback": { + "$ref": "#/components/schemas/PromptFeedback", + "description": "Returns the prompt's feedback related to the content filters." + }, + "candidates": { + "description": "Candidate responses from the model.", "type": "array", - "description": "The returned rag_stores.", "items": { - "$ref": "#/components/schemas/FileSearchStore" + "$ref": "#/components/schemas/Candidate" } + }, + "usageMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/UsageMetadata", + "description": "Output only. Metadata on the generation requests' token usage." } }, "type": "object" }, - "Schema": { - "description": "The `Schema` object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an [OpenAPI 3.0 schema object](https://spec.openapis.org/oas/v3.0.3#schema).", + "Corpus": { + "description": "A `Corpus` is a collection of `Document`s. A project can create up to 10 corpora.", "properties": { - "nullable": { - "description": "Optional. Indicates if the value may be null.", - "type": "boolean" - }, - "properties": { - "description": "Optional. Properties of Type.OBJECT.", - "additionalProperties": { - "$ref": "#/components/schemas/Schema" - }, - "type": "object" + "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`" }, - "example": { - "description": "Optional. Example of the object. Will only populated when the object is the root." + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `Corpus`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" }, - "minLength": { - "description": "Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING", + "updateTime": { + "readOnly": true, "type": "string", - "format": "int64" + "description": "Output only. The Timestamp of when the `Corpus` was last updated.", + "format": "google-datetime" }, - "anyOf": { - "description": "Optional. The value should be validated against any (one or more) of the subschemas in the list.", + "createTime": { + "description": "Output only. The Timestamp of when the `Corpus` was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + } + }, + "type": "object" + }, + "PlaceAnswerSources": { + "type": "object", + "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources.", + "properties": { + "reviewSnippets": { + "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", "items": { - "$ref": "#/components/schemas/Schema" + "$ref": "#/components/schemas/ReviewSnippet" }, "type": "array" + } + } + }, + "GenerationConfig": { + "description": "Configuration options for model generation and outputs. Not all parameters are configurable for every model.", + "properties": { + "seed": { + "description": "Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.", + "format": "int32", + "type": "integer" }, - "enum": { - "description": "Optional. Possible values of the element of Type.STRING with enum format. For example we can define an Enum Direction as : {type:STRING, format:enum, enum:[\"EAST\", NORTH\", \"SOUTH\", \"WEST\"]}", + "responseLogprobs": { + "description": "Optional. If true, export the logprobs results in response.", + "type": "boolean" + }, + "responseSchema": { + "description": "Optional. Output schema of the generated candidate text. Schemas must be a subset of the [OpenAPI schema](https://spec.openapis.org/oas/v3.0.3#schema) and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `application/json`: Schema for JSON response. Refer to the [JSON text generation guide](https://ai.google.dev/gemini-api/docs/json-mode) for more details.", + "$ref": "#/components/schemas/Schema" + }, + "candidateCount": { + "format": "int32", + "description": "Optional. Number of generated responses to return. If unset, this will default to 1. Please note that this doesn't work for previous generation models (Gemini 1.0 family)", + "type": "integer" + }, + "stopSequences": { "items": { "type": "string" }, - "type": "array" - }, - "maximum": { - "description": "Optional. Maximum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "maxLength": { - "description": "Optional. Maximum length of the Type.STRING", - "type": "string", - "format": "int64" + "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." }, - "type": { - "x-enum-descriptions": [ - "Not specified, should not be used.", - "String type.", - "Number type.", - "Integer type.", - "Boolean type.", - "Array type.", - "Object type.", - "Null type." - ], - "description": "Required. Data type.", + "mediaResolution": { + "description": "Optional. If specified, the media resolution specified will be used.", "enum": [ - "TYPE_UNSPECIFIED", - "STRING", - "NUMBER", - "INTEGER", - "BOOLEAN", - "ARRAY", - "OBJECT", - "NULL" + "MEDIA_RESOLUTION_UNSPECIFIED", + "MEDIA_RESOLUTION_LOW", + "MEDIA_RESOLUTION_MEDIUM", + "MEDIA_RESOLUTION_HIGH" + ], + "x-enum-descriptions": [ + "Media resolution has not been set.", + "Media resolution set to low (64 tokens).", + "Media resolution set to medium (256 tokens).", + "Media resolution set to high (zoomed reframing with 256 tokens)." ], "type": "string" }, - "minimum": { - "description": "Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER", - "type": "number", - "format": "double" - }, - "minItems": { - "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the elements for Type.ARRAY." - }, - "items": { - "description": "Optional. Schema of the elements of Type.ARRAY.", - "$ref": "#/components/schemas/Schema" + "frequencyPenalty": { + "format": "float", + "description": "Optional. Frequency penalty applied to the next token's logprobs, multiplied by the number of times each token has been seen in the respponse so far. A positive penalty will discourage the use of tokens that have already been used, proportional to the number of times the token has been used: The more a token is used, the more difficult it is for the model to use that token again increasing the vocabulary of responses. Caution: A _negative_ penalty will encourage the model to reuse tokens proportional to the number of times the token has been used. Small negative values will reduce the vocabulary of a response. Larger negative values will cause the model to start repeating a common token until it hits the max_output_tokens limit.", + "type": "number" }, - "required": { - "type": "array", - "description": "Optional. Required properties of Type.OBJECT.", - "items": { - "type": "string" - } + "topP": { + "type": "number", + "description": "Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and Top-p (nucleus) sampling. Tokens are sorted based on their assigned probabilities so that only the most likely tokens are considered. Top-k sampling directly limits the maximum number of tokens to consider, while Nucleus sampling limits the number of tokens based on the cumulative probability. Note: The default value varies by `Model` and is specified by the`Model.top_p` attribute returned from the `getModel` function. An empty `top_k` attribute indicates that the model doesn't apply top-k sampling and doesn't allow setting `top_k` on requests.", + "format": "float" }, - "title": { - "description": "Optional. The title of the schema.", - "type": "string" + "thinkingConfig": { + "$ref": "#/components/schemas/ThinkingConfig", + "description": "Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking." }, - "maxItems": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the elements for Type.ARRAY." + "logprobs": { + "description": "Optional. Only valid if response_logprobs=True. This sets the number of top logprobs, including the chosen candidate, to return at each decoding step in the Candidate.logprobs_result. The number must be in the range of [0, 20].", + "format": "int32", + "type": "integer" }, - "maxProperties": { - "type": "string", - "format": "int64", - "description": "Optional. Maximum number of the properties for Type.OBJECT." + "maxOutputTokens": { + "description": "Optional. The maximum number of tokens to include in a response candidate. Note: The default value varies by model, see the `Model.output_token_limit` attribute of the `Model` returned from the `getModel` function.", + "format": "int32", + "type": "integer" }, - "format": { - "description": "Optional. The format of the data. Any value is allowed, but most do not trigger any special functionality.", - "type": "string" + "imageConfig": { + "$ref": "#/components/schemas/ImageConfig", + "description": "Optional. Config for image generation. An error will be returned if this field is set for models that don't support these config options." }, - "default": { - "description": "Optional. Default value of the field. Per JSON Schema, this field is intended for documentation generators and doesn't affect validation. Thus it's included here and ignored so that developers who send schemas with a `default` field don't get unknown-field errors." + "enableEnhancedCivicAnswers": { + "type": "boolean", + "description": "Optional. Enables enhanced civic answers. It may not be available for all models." }, - "propertyOrdering": { - "type": "array", - "description": "Optional. The order of the properties. Not a standard field in open api spec. Used to determine the order of the properties in the response.", - "items": { - "type": "string" - } + "temperature": { + "type": "number", + "description": "Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned from the `getModel` function. Values can range from [0.0, 2.0].", + "format": "float" }, - "description": { - "description": "Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.", - "type": "string" + "speechConfig": { + "description": "Optional. The speech generation config.", + "$ref": "#/components/schemas/SpeechConfig" }, - "minProperties": { + "responseMimeType": { "type": "string", - "format": "int64", - "description": "Optional. Minimum number of the properties for Type.OBJECT." - }, - "pattern": { - "description": "Optional. Pattern of the Type.STRING to restrict a string to a regular expression.", - "type": "string" - } - }, - "type": "object" - }, - "InlinedResponses": { - "properties": { - "inlinedResponses": { - "readOnly": true, - "type": "array", - "description": "Output only. The responses to the requests in the batch.", - "items": { - "$ref": "#/components/schemas/InlinedResponse" - } - } - }, - "type": "object", - "description": "The responses to the requests in the batch." - }, - "ListFilesResponse": { - "description": "Response for `ListFiles`.", - "properties": { - "files": { - "type": "array", - "description": "The list of `File`s.", - "items": { - "$ref": "#/components/schemas/File" - } + "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." }, - "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", - "type": "string" - } - }, - "type": "object" - }, - "SpeechConfig": { - "description": "Config for speech generation and transcription.", - "properties": { - "voiceConfig": { - "$ref": "#/components/schemas/VoiceConfig", - "description": "The configuration in case of single-voice output." + "presencePenalty": { + "format": "float", + "description": "Optional. Presence penalty applied to the next token's logprobs if the token has already been seen in the response. This penalty is binary on/off and not dependant on the number of times the token is used (after the first). Use frequency_penalty for a penalty that increases with each use. A positive penalty will discourage the use of tokens that have already been used in the response, increasing the vocabulary. A negative penalty will encourage the use of tokens that have already been used in the response, decreasing the vocabulary.", + "type": "number" }, - "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" + "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.", + "items": { + "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": "string" + }, + "type": "array" }, - "multiSpeakerVoiceConfig": { - "description": "Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.", - "$ref": "#/components/schemas/MultiSpeakerVoiceConfig" + "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" + }, + "responseJsonSchema": { + "description": "Optional. An internal detail. Use `responseJsonSchema` rather than this field." } }, "type": "object" }, - "FileSearchStore": { - "description": "A `FileSearchStore` is a collection of `Document`s.", + "Model": { + "description": "Information about a Generative Language Model.", "properties": { - "updateTime": { - "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated.", - "readOnly": true, - "type": "string", - "format": "google-datetime" + "inputTokenLimit": { + "type": "integer", + "description": "Maximum number of input tokens allowed for this model.", + "format": "int32" }, "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.", - "readOnly": true, - "type": "string" - }, - "createTime": { - "readOnly": true, "type": "string", - "format": "google-datetime", - "description": "Output only. The Timestamp of when the `FileSearchStore` was created." + "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`" }, - "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" + "topK": { + "type": "integer", + "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." }, - "pendingDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", - "readOnly": true, - "type": "string", - "format": "int64" + "temperature": { + "type": "number", + "format": "float", + "description": "Controls the randomness of the output. Values can range over `[0.0,max_temperature]`, inclusive. A higher value will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be used by the backend while making the call to the model." }, - "failedDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", - "readOnly": true, + "displayName": { "type": "string", - "format": "int64" + "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." }, - "sizeBytes": { - "readOnly": true, + "description": { "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`." + "description": "A short description of the model." }, - "activeDocumentsCount": { - "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", - "readOnly": true, - "type": "string", - "format": "int64" - } - }, - "type": "object" - }, - "InputEmbedContentConfig": { - "type": "object", - "properties": { - "fileName": { - "description": "The name of the `File` containing the input requests.", - "type": "string" + "outputTokenLimit": { + "format": "int32", + "description": "Maximum number of output tokens available for this model.", + "type": "integer" }, - "requests": { - "$ref": "#/components/schemas/InlinedEmbedContentRequests", - "description": "The requests to be processed in the batch." - } - }, - "description": "Configures the input to the batch request." - }, - "McpServer": { - "description": "A MCPServer is a server that can be called by the model to perform actions. It is a server that implements the MCP protocol. Next ID: 6", - "type": "object", - "properties": { - "streamableHttpTransport": { - "$ref": "#/components/schemas/StreamableHttpTransport", - "description": "A transport that can stream HTTP requests and responses." + "topP": { + "description": "For [Nucleus sampling](https://ai.google.dev/gemini-api/docs/prompting-strategies#top-p). Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be used by the backend while making the call to the model.", + "format": "float", + "type": "number" }, - "name": { - "description": "The name of the MCPServer.", - "type": "string" - } - } - }, - "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": { - "id": { - "description": "Optional. Unique identifier of the tool call. The server returns the tool response with the matching `id`.", + "version": { + "description": "Required. The version number of the model. This represents the major version (`1.0` or `1.5`)", "type": "string" }, - "toolType": { - "type": "string", - "description": "Required. The type of tool that was called.", - "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" - ], - "x-enum-descriptions": [ - "Unspecified tool type.", - "Google search tool, maps to Tool.google_search.search_types.web_search.", - "Image search tool, maps to Tool.google_search.search_types.image_search.", - "URL context tool, maps to Tool.url_context.", - "Google maps tool, maps to Tool.google_maps.", - "File search tool, maps to Tool.file_search." - ] + "baseModelId": { + "description": "Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`", + "type": "string" }, - "args": { - "description": "Optional. The tool call arguments. Example: {\"arg1\" : \"value1\", \"arg2\" : \"value2\" , ...}", - "additionalProperties": { - "description": "Properties of the object." + "supportedGenerationMethods": { + "items": { + "type": "string" }, - "type": "object" - } - } - }, - "ReviewSnippet": { - "description": "Encapsulates a snippet of a user review that answers a question about the features of a specific place in Google Maps.", - "properties": { - "googleMapsUri": { - "description": "A link that corresponds to the user review on Google Maps.", - "type": "string" + "type": "array", + "description": "The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`." }, - "reviewId": { - "description": "The ID of the review snippet.", - "type": "string" + "thinking": { + "type": "boolean", + "description": "Whether the model supports thinking." }, - "title": { - "description": "Title of the review.", - "type": "string" + "maxTemperature": { + "description": "The maximum temperature this model can use.", + "format": "float", + "type": "number" } }, "type": "object" }, - "UploadToFileSearchStoreRequest": { + "PromptFeedback": { "type": "object", + "description": "A set of the feedback metadata the prompt specified in `GenerateContentRequest.content`.", "properties": { - "customMetadata": { - "description": "Custom metadata to be associated with the data.", - "items": { - "$ref": "#/components/schemas/CustomMetadata" - }, - "type": "array" - }, - "displayName": { - "description": "Optional. Display name of the created document.", - "type": "string" - }, - "chunkingConfig": { - "$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." + "blockReason": { + "type": "string", + "description": "Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.", + "enum": [ + "BLOCK_REASON_UNSPECIFIED", + "SAFETY", + "OTHER", + "BLOCKLIST", + "PROHIBITED_CONTENT", + "IMAGE_SAFETY" + ], + "x-enum-descriptions": [ + "Default value. This value is unused.", + "Prompt was blocked due to safety reasons. Inspect `safety_ratings` to understand which safety category blocked it.", + "Prompt was blocked due to unknown reasons.", + "Prompt was blocked due to the terms which are included from the terminology blocklist.", + "Prompt was blocked due to prohibited content.", + "Candidates blocked due to unsafe image generation content." + ] }, - "mimeType": { - "description": "Optional. MIME type of the data. If not provided, it will be inferred from the uploaded content.", - "type": "string" + "safetyRatings": { + "description": "Ratings for safety of the prompt. There is at most one rating per category.", + "type": "array", + "items": { + "$ref": "#/components/schemas/SafetyRating" + } } - }, - "description": "Request for `UploadToFileSearchStore`." + } }, - "ModalityTokenCount": { + "CodeExecutionResult": { "type": "object", + "description": "Result of executing the `ExecutableCode`. Generated only when the `CodeExecution` tool is used.", "properties": { - "modality": { + "id": { "type": "string", - "description": "The modality associated with this token count.", - "enum": [ - "MODALITY_UNSPECIFIED", - "TEXT", - "IMAGE", - "VIDEO", - "AUDIO", - "DOCUMENT" - ], + "description": "Optional. The identifier of the `ExecutableCode` part this result is for. Only populated if the corresponding `ExecutableCode` has an id." + }, + "outcome": { "x-enum-descriptions": [ - "Unspecified modality.", - "Plain text.", - "Image.", - "Video.", - "Audio.", - "Document, e.g. PDF." - ] + "Unspecified status. This value should not be used.", + "Code execution completed successfully. `output` contains the stdout, if any.", + "Code execution failed. `output` contains the stderr and stdout, if any.", + "Code execution ran for too long, and was cancelled. There may or may not be a partial `output` present." + ], + "description": "Required. Outcome of the code execution.", + "enum": [ + "OUTCOME_UNSPECIFIED", + "OUTCOME_OK", + "OUTCOME_FAILED", + "OUTCOME_DEADLINE_EXCEEDED" + ], + "type": "string" }, - "tokenCount": { - "description": "Number of tokens.", - "type": "integer", - "format": "int32" + "output": { + "description": "Optional. Contains stdout when code execution is successful, stderr or other description otherwise.", + "type": "string" } - }, - "description": "Represents token counting info for a single modality." + } }, - "GenerateContentResponse": { + "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.", "properties": { - "usageMetadata": { - "readOnly": true, - "description": "Output only. Metadata on the generation requests' token usage.", - "$ref": "#/components/schemas/UsageMetadata" - }, - "responseId": { - "readOnly": true, - "type": "string", - "description": "Output only. response_id is used to identify each response." - }, - "candidates": { - "description": "Candidate responses from the model.", + "parts": { + "description": "Ordered `Parts` that constitute a single message. Parts may have different MIME types.", "items": { - "$ref": "#/components/schemas/Candidate" + "$ref": "#/components/schemas/Part" }, "type": "array" }, - "promptFeedback": { - "$ref": "#/components/schemas/PromptFeedback", - "description": "Returns the prompt's feedback related to the content filters." - }, - "modelVersion": { - "description": "Output only. The model version used to generate the response.", - "readOnly": true, + "role": { + "description": "Optional. The producer of the content. Must be either 'user' or 'model'. Useful to set for multi-turn conversations, otherwise can be left blank or unset.", "type": "string" - }, - "modelStatus": { - "readOnly": true, - "description": "Output only. The current model status of this model.", - "$ref": "#/components/schemas/ModelStatus" } }, - "type": "object", - "description": "Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in `GenerateContentResponse.prompt_feedback` and for each candidate in `finish_reason` and in `safety_ratings`. The API: - Returns either all requested candidates or none of them - Returns no candidates at all only if there was something wrong with the prompt (check `prompt_feedback`) - Reports feedback on each candidate in `finish_reason` and `safety_ratings`." + "type": "object" }, - "GoogleAiGenerativelanguageV1betaGroundingSupport": { - "description": "Grounding support.", + "ListModelsResponse": { + "type": "object", + "description": "Response from `ListModel` containing a paginated list of Models.", "properties": { - "segment": { - "$ref": "#/components/schemas/GoogleAiGenerativelanguageV1betaSegment", - "description": "Segment of the content this support belongs to." - }, - "confidenceScores": { - "type": "array", - "description": "Optional. Confidence score of the support references. Ranges from 0 to 1. 1 is the most confident. This list must have the same size as the grounding_chunk_indices.", - "items": { - "type": "number", - "format": "float" - } + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." }, - "renderedParts": { - "readOnly": true, - "type": "array", - "description": "Output only. Indices into the `parts` field of the candidate's content. These indices specify which rendered parts are associated with this support source.", + "models": { "items": { - "type": "integer", - "format": "int32" - } - }, - "groundingChunkIndices": { + "$ref": "#/components/schemas/Model" + }, "type": "array", - "description": "Optional. A list of indices (into 'grounding_chunk' in `response.candidate.grounding_metadata`) specifying the citations associated with the claim. For instance [1,3,4] means that grounding_chunk[1], grounding_chunk[3], grounding_chunk[4] are the retrieved content attributed to the claim. If the response is streaming, the grounding_chunk_indices refer to the indices across all responses. It is the client's responsibility to accumulate the grounding chunks from all responses (while maintaining the same order).", - "items": { - "type": "integer", - "format": "int32" - } + "description": "The returned Models." } - }, - "type": "object" + } }, - "ListGeneratedFilesResponse": { - "description": "Response for `ListGeneratedFiles`.", + "ListFilesResponse": { + "description": "Response for `ListFiles`.", "properties": { - "generatedFiles": { + "files": { + "description": "The list of `File`s.", "type": "array", - "description": "The list of `GeneratedFile`s.", "items": { - "$ref": "#/components/schemas/GeneratedFile" + "$ref": "#/components/schemas/File" } }, "nextPageToken": { - "description": "A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call.", + "description": "A token that can be sent as a `page_token` into a subsequent `ListFiles` call.", "type": "string" } }, "type": "object" }, - "InlinedResponse": { - "description": "The response to a single request in the batch.", + "Tool": { + "description": "Tool details that the model may use to generate response. A `Tool` is a piece of code that enables the system to interact with external systems to perform an action, or set of actions, outside of knowledge and scope of the model. Next ID: 16", "properties": { - "metadata": { - "description": "Output only. The metadata associated with the request.", - "additionalProperties": { - "description": "Properties of the object." + "computerUse": { + "description": "Optional. Tool to support the model interacting directly with the computer. If enabled, it automatically populates computer-use specific Function Declarations.", + "$ref": "#/components/schemas/ComputerUse" + }, + "googleSearch": { + "$ref": "#/components/schemas/GoogleSearch", + "description": "Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google." + }, + "urlContext": { + "description": "Optional. Tool to support URL context retrieval.", + "$ref": "#/components/schemas/UrlContext" + }, + "fileSearch": { + "$ref": "#/components/schemas/FileSearch", + "description": "Optional. FileSearch tool type. Tool to retrieve knowledge from Semantic Retrieval corpora." + }, + "mcpServers": { + "items": { + "$ref": "#/components/schemas/McpServer" }, - "readOnly": true, - "type": "object" + "type": "array", + "description": "Optional. MCP Servers to connect to." }, - "error": { - "readOnly": true, - "description": "Output only. The error encountered while processing the request.", - "$ref": "#/components/schemas/Status" + "functionDeclarations": { + "type": "array", + "items": { + "$ref": "#/components/schemas/FunctionDeclaration" + }, + "description": "Optional. A list of `FunctionDeclarations` available to the model that can be used for function calling. The model or system does not execute the function. Instead the defined function may be returned as a FunctionCall with arguments to the client side for execution. The model may decide to call a subset of these functions by populating FunctionCall in the response. The next conversation turn may contain a FunctionResponse with the Content.role \"function\" generation context for the next model turn." }, - "response": { - "description": "Output only. The response to the request.", - "$ref": "#/components/schemas/GenerateContentResponse", - "readOnly": true + "googleSearchRetrieval": { + "description": "Optional. Retrieval tool that is powered by Google search.", + "$ref": "#/components/schemas/GoogleSearchRetrieval" + }, + "googleMaps": { + "$ref": "#/components/schemas/GoogleMaps", + "description": "Optional. Tool that allows grounding the model's response with geospatial context related to the user's query." + }, + "codeExecution": { + "$ref": "#/components/schemas/CodeExecution", + "description": "Optional. Enables the model to execute code as part of generation." } }, "type": "object" }, - "TuningTask": { + "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.", + "properties": { + "longitude": { + "type": "number", + "description": "The longitude in degrees. It must be in the range [-180.0, +180.0].", + "format": "double" + }, + "latitude": { + "type": "number", + "format": "double", + "description": "The latitude in degrees. It must be in the range [-90.0, +90.0]." + } + }, + "type": "object" + }, + "FileSearchStore": { "type": "object", + "description": "A `FileSearchStore` is a collection of `Document`s.", "properties": { - "completeTime": { + "createTime": { + "description": "Output only. The Timestamp of when the `FileSearchStore` was created.", + "format": "google-datetime", + "readOnly": true, + "type": "string" + }, + "activeDocumentsCount": { + "description": "Output only. The number of documents in the `FileSearchStore` that are active and ready for retrieval.", + "format": "int64", + "readOnly": true, + "type": "string" + }, + "failedDocumentsCount": { + "format": "int64", + "description": "Output only. The number of documents in the `FileSearchStore` that have failed processing.", + "readOnly": true, + "type": "string" + }, + "updateTime": { "readOnly": true, "type": "string", "format": "google-datetime", - "description": "Output only. The timestamp when tuning this model completed." + "description": "Output only. The Timestamp of when the `FileSearchStore` was last updated." }, - "startTime": { - "description": "Output only. The timestamp when tuning this model started.", + "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.", "readOnly": true, - "type": "string", - "format": "google-datetime" + "type": "string" }, - "trainingData": { - "description": "Required. Input only. Immutable. The model training data.", - "$ref": "#/components/schemas/Dataset" + "displayName": { + "type": "string", + "description": "Optional. The human-readable display name for the `FileSearchStore`. The display name must be no more than 512 characters in length, including spaces. Example: \"Docs on Semantic Retriever\"" }, - "hyperparameters": { - "$ref": "#/components/schemas/Hyperparameters", - "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." + "sizeBytes": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The size of raw bytes ingested into the `FileSearchStore`. This is the total size of all the documents in the `FileSearchStore`." }, - "snapshots": { + "pendingDocumentsCount": { "readOnly": true, + "type": "string", + "description": "Output only. The number of documents in the `FileSearchStore` that are being processed.", + "format": "int64" + } + } + }, + "TuningExamples": { + "description": "A set of tuning examples. Can be training or validation data.", + "properties": { + "examples": { + "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", "type": "array", - "description": "Output only. Metrics collected during tuning.", "items": { - "$ref": "#/components/schemas/TuningSnapshot" + "$ref": "#/components/schemas/TuningExample" } } }, - "description": "Tuning tasks that create tuned models." + "type": "object" }, - "EmbedContentRequest": { - "description": "Request containing the `Content` for the model to embed.", + "FunctionCallingConfig": { + "description": "Configuration for specifying function calling behavior.", "properties": { - "model": { - "description": "Required. The model's resource name. This serves as an ID for the Model to use. This name should match a model name returned by the `ListModels` method. Format: `models/{model}`", - "type": "string" - }, - "title": { + "mode": { "type": "string", - "deprecated": true, - "description": "Optional. Deprecated: Please use EmbedContentConfig.title instead. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval." - }, - "embedContentConfig": { - "$ref": "#/components/schemas/EmbedContentConfig", - "description": "Optional. Configuration for the EmbedContent request." - }, - "taskType": { - "x-enum-descriptions": [ - "Unset value, which will default to one of the other enum values.", - "Specifies the given text is a query in a search/retrieval setting.", - "Specifies the given text is a document from the corpus being searched.", - "Specifies the given text will be used for STS.", - "Specifies that the given text will be classified.", - "Specifies that the embeddings will be used for clustering.", - "Specifies that the given text will be used for question answering.", - "Specifies that the given text will be used for fact verification.", - "Specifies that the given text will be used for code retrieval." - ], - "description": "Optional. Deprecated: Please use EmbedContentConfig.task_type instead. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).", + "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", "enum": [ - "TASK_TYPE_UNSPECIFIED", - "RETRIEVAL_QUERY", - "RETRIEVAL_DOCUMENT", - "SEMANTIC_SIMILARITY", - "CLASSIFICATION", - "CLUSTERING", - "QUESTION_ANSWERING", - "FACT_VERIFICATION", - "CODE_RETRIEVAL_QUERY" + "MODE_UNSPECIFIED", + "AUTO", + "ANY", + "NONE", + "VALIDATED" ], - "deprecated": true, - "type": "string" - }, - "outputDimensionality": { - "description": "Optional. Deprecated: Please use EmbedContentConfig.output_dimensionality instead. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).", - "type": "integer", - "format": "int32", - "deprecated": true + "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\"." + ] }, - "content": { - "description": "Required. The content to embed. Only the `parts.text` fields will be counted.", - "$ref": "#/components/schemas/Content" + "allowedFunctionNames": { + "type": "array", + "items": { + "type": "string" + }, + "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names." } }, "type": "object" }, - "TransferOwnershipRequest": { - "properties": { - "emailAddress": { - "description": "Required. The email address of the user to whom the tuned model is being transferred to.", - "type": "string" - } - }, - "type": "object", - "description": "Request to transfer the ownership of the tuned model." - }, - "BatchGenerateContentRequest": { - "type": "object", + "AsyncBatchEmbedContentRequest": { + "description": "Request for an `AsyncBatchEmbedContent` operation.", "properties": { "batch": { - "$ref": "#/components/schemas/GenerateContentBatch", + "$ref": "#/components/schemas/EmbedContentBatch", "description": "Required. The batch to create." } }, - "description": "Request for a `BatchGenerateContent` operation." + "type": "object" }, - "VideoMetadata": { - "type": "object", - "deprecated": true, - "description": "Deprecated: Use `GenerateContentRequest.processing_options` instead. Metadata describes the input video content.", + "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.", "properties": { - "endOffset": { - "type": "string", - "format": "google-duration", - "description": "Optional. The end offset of the video." - }, - "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" - }, - "startOffset": { + "probability": { "type": "string", - "format": "google-duration", - "description": "Optional. The start offset of the video." - } - } - }, - "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": { - "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", - "readOnly": true, - "type": "string" - }, - "granteeType": { - "description": "Optional. Immutable. The type of the grantee.", - "enum": [ - "GRANTEE_TYPE_UNSPECIFIED", - "USER", - "GROUP", - "EVERYONE" - ], "x-enum-descriptions": [ - "The default value. This value is unused.", - "Represents a user. When set, you must provide email_address for the user.", - "Represents a group. When set, you must provide email_address for the group.", - "Represents access to everyone. No extra information is required." + "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." ], - "type": "string" + "description": "Required. The probability of harm for this content.", + "enum": [ + "HARM_PROBABILITY_UNSPECIFIED", + "NEGLIGIBLE", + "LOW", + "MEDIUM", + "HIGH" + ] }, - "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" + "blocked": { + "description": "Was this content blocked because of this rating?", + "type": "boolean" }, - "role": { - "description": "Required. The role granted by this permission.", - "enum": [ - "ROLE_UNSPECIFIED", - "OWNER", - "WRITER", - "READER" + "category": { + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true ], "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." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." ], - "type": "string" + "description": "Required. The category for this rating.", + "enum": [ + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" + ] } - } + }, + "type": "object" }, - "ListTunedModelsResponse": { + "TransferOwnershipResponse": { + "type": "object", + "description": "Response from `TransferOwnership`.", + "properties": {} + }, + "CreateFileResponse": { "type": "object", + "description": "Response for `CreateFile`.", "properties": { - "tunedModels": { - "type": "array", - "description": "The returned Models.", - "items": { - "$ref": "#/components/schemas/TunedModel" - } - }, - "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" + "file": { + "description": "Metadata for the created file.", + "$ref": "#/components/schemas/File" } - }, - "description": "Response from `ListTunedModels` containing a paginated list of Models." + } }, - "TuningExamples": { + "RegisterFilesRequest": { + "description": "Request for `RegisterFiles`.", "properties": { - "examples": { + "uris": { + "description": "Required. The Google Cloud Storage URIs to register. Example: `gs://bucket/object`.", "type": "array", - "description": "The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.", "items": { - "$ref": "#/components/schemas/TuningExample" + "type": "string" } } }, - "type": "object", - "description": "A set of tuning examples. Can be training or validation data." + "type": "object" }, - "ToolConfig": { - "description": "The Tool configuration containing parameters for specifying `Tool` use in the request.", + "ListPermissionsResponse": { "type": "object", + "description": "Response from `ListPermissions` containing a paginated list of permissions.", "properties": { - "retrievalConfig": { - "$ref": "#/components/schemas/RetrievalConfig", - "description": "Optional. Retrieval config." - }, - "functionCallingConfig": { - "description": "Optional. Function calling config.", - "$ref": "#/components/schemas/FunctionCallingConfig" + "permissions": { + "description": "Returned permissions.", + "items": { + "$ref": "#/components/schemas/Permission" + }, + "type": "array" }, - "includeServerSideToolInvocations": { - "description": "Optional. If true, the API response will include the server-side tool calls and responses within the `Content` message. This allows clients to observe the server's tool interactions.", - "type": "boolean" + "nextPageToken": { + "type": "string", + "description": "A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages." } } }, - "PlaceAnswerSources": { + "InlinedEmbedContentResponse": { + "description": "The response to a single request in the batch.", "properties": { - "reviewSnippets": { - "type": "array", - "description": "Snippets of reviews that are used to generate answers about the features of a given place in Google Maps.", - "items": { - "$ref": "#/components/schemas/ReviewSnippet" + "error": { + "description": "Output only. The error encountered while processing the request.", + "readOnly": true, + "$ref": "#/components/schemas/Status" + }, + "response": { + "readOnly": true, + "$ref": "#/components/schemas/EmbedContentResponse", + "description": "Output only. The response to the request." + }, + "metadata": { + "description": "Output only. The metadata associated with the request.", + "readOnly": true, + "type": "object", + "additionalProperties": { + "description": "Properties of the object." } } }, - "type": "object", - "description": "Collection of sources that provide answers about the features of a given place in Google Maps. Each PlaceAnswerSources message corresponds to a specific place in Google Maps. The Google Maps tool used these sources in order to answer questions about features of the place (e.g: \"does Bar Foo have Wifi\" or \"is Foo Bar wheelchair accessible?\"). Currently we only support review snippets as sources." + "type": "object" }, - "InlinedEmbedContentRequest": { - "description": "The request to be processed in the batch.", + "RegisterFilesResponse": { + "description": "Response for `RegisterFiles`.", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." + "files": { + "items": { + "$ref": "#/components/schemas/File" }, - "type": "object" + "type": "array", + "description": "The registered files to be used when calling GenerateContent." + } + }, + "type": "object" + }, + "LogprobsResultCandidate": { + "description": "Candidate for the logprobs token and score.", + "properties": { + "token": { + "description": "The candidate\u2019s token string value.", + "type": "string" + }, + "logProbability": { + "type": "number", + "description": "The candidate's log probability.", + "format": "float" + }, + "tokenId": { + "description": "The candidate\u2019s token id value.", + "format": "int32", + "type": "integer" + } + }, + "type": "object" + }, + "BatchGenerateContentRequest": { + "description": "Request for a `BatchGenerateContent` operation.", + "properties": { + "batch": { + "$ref": "#/components/schemas/GenerateContentBatch", + "description": "Required. The batch to create." } }, "type": "object" }, - "ListOperationsResponse": { - "description": "The response message for Operations.ListOperations.", + "TransferOwnershipRequest": { "type": "object", + "description": "Request to transfer the ownership of the tuned model.", "properties": { - "nextPageToken": { - "description": "The standard List next-page token.", + "emailAddress": { + "description": "Required. The email address of the user to whom the tuned model is being transferred to.", "type": "string" - }, - "operations": { - "type": "array", - "description": "A list of operations that matches the specified filter in the request.", - "items": { - "$ref": "#/components/schemas/Operation" - } - }, - "unreachable": { - "type": "array", - "description": "Unordered list. Unreachable resources. Populated when the request sets `ListOperationsRequest.return_partial_success` and reads across collections. For example, when attempting to list all resources across all supported locations.", - "items": { - "type": "string" - } } } }, - "FunctionCallingConfig": { - "description": "Configuration for specifying function calling behavior.", + "Status": { "type": "object", + "description": "The `Status` type defines a logical error model that is suitable for different programming environments, including REST APIs and RPC APIs. It is used by [gRPC](https://github.com/grpc). Each `Status` message contains three pieces of data: error code, error message, and error details. You can find out more about this error model and how to work with it in the [API Design Guide](https://cloud.google.com/apis/design/errors).", "properties": { - "mode": { + "code": { + "description": "The status code, which should be an enum value of google.rpc.Code.", + "format": "int32", + "type": "integer" + }, + "message": { "type": "string", - "description": "Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.", - "enum": [ - "MODE_UNSPECIFIED", - "AUTO", - "ANY", - "NONE", - "VALIDATED" - ], - "x-enum-descriptions": [ - "Unspecified function calling mode. This value should not be used.", - "Default model behavior, model decides to predict either a function call or a natural language response.", - "Model is constrained to always predicting a function call only. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\".", - "Model will not predict any function call. Model behavior is same as when not passing any function declarations.", - "Model decides to predict either a function call or a natural language response, but will validate function calls with constrained decoding. If \"allowed_function_names\" are set, the predicted function call will be limited to any one of \"allowed_function_names\", else the predicted function call will be any one of the provided \"function_declarations\"." - ] + "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." }, - "allowedFunctionNames": { - "type": "array", - "description": "Optional. A set of function names that, when provided, limits the functions the model will call. This should only be set when the Mode is ANY or VALIDATED. Function names should match [FunctionDeclaration.name]. When set, model will predict a function call from only allowed function names.", + "details": { + "description": "A list of messages that carry the error details. There is a common set of message types for APIs to use.", "items": { - "type": "string" - } + "type": "object", + "additionalProperties": { + "description": "Properties of the object. Contains field @type with type URL." + } + }, + "type": "array" } } }, - "EmbeddingUsageMetadata": { - "type": "object", + "ListCachedContentsResponse": { + "description": "Response with CachedContents list.", "properties": { - "promptTokenCount": { - "readOnly": true, - "type": "integer", - "format": "int32", - "description": "Output only. Number of tokens in the prompt." - }, - "promptTokenDetails": { - "description": "Output only. List of modalities that were processed in the request input.", + "cachedContents": { "items": { - "$ref": "#/components/schemas/ModalityTokenCount" + "$ref": "#/components/schemas/CachedContent" }, - "readOnly": true, - "type": "array" + "type": "array", + "description": "List of cached contents." + }, + "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" } }, - "description": "Metadata on the usage of the embedding request." + "type": "object" }, - "Image": { - "description": "Chunk from image search.", + "TuningTask": { + "type": "object", + "description": "Tuning tasks that create tuned models.", "properties": { - "sourceUri": { - "description": "The web page URI for attribution.", + "completeTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when tuning this model completed.", + "readOnly": true, "type": "string" }, - "imageUri": { - "description": "The image asset URL.", - "type": "string" + "snapshots": { + "items": { + "$ref": "#/components/schemas/TuningSnapshot" + }, + "readOnly": true, + "type": "array", + "description": "Output only. Metrics collected during tuning." }, - "title": { - "description": "The title of the web page that the image is from.", - "type": "string" + "trainingData": { + "description": "Required. Input only. Immutable. The model training data.", + "$ref": "#/components/schemas/Dataset" }, - "domain": { - "description": "The root domain of the web page that the image is from, e.g. \"example.com\".", + "startTime": { + "description": "Output only. The timestamp when tuning this model started.", + "format": "google-datetime", + "readOnly": true, "type": "string" + }, + "hyperparameters": { + "$ref": "#/components/schemas/Hyperparameters", + "description": "Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used." + } + } + }, + "AttributionSourceId": { + "description": "Identifier for the source contributing to this attribution.", + "properties": { + "groundingPassage": { + "description": "Identifier for an inline passage.", + "$ref": "#/components/schemas/GroundingPassageId" + }, + "semanticRetrieverChunk": { + "description": "Identifier for a `Chunk` fetched via Semantic Retriever.", + "$ref": "#/components/schemas/SemanticRetrieverChunk" } }, "type": "object" }, - "InlinedRequest": { - "description": "The request to be processed in the batch.", + "EmbedContentBatchStats": { "type": "object", + "description": "Stats about the batch.", "properties": { - "request": { - "description": "Required. The request to be processed in the batch.", - "$ref": "#/components/schemas/GenerateContentRequest" + "failedRequestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests that failed to be processed." }, - "metadata": { - "description": "Optional. The metadata to be associated with the request.", - "additionalProperties": { - "description": "Properties of the object." - }, - "type": "object" + "requestCount": { + "readOnly": true, + "type": "string", + "format": "int64", + "description": "Output only. The number of requests in the batch." + }, + "successfulRequestCount": { + "description": "Output only. The number of requests that were successfully processed.", + "format": "int64", + "readOnly": true, + "type": "string" + }, + "pendingRequestCount": { + "description": "Output only. The number of requests that are still pending processing.", + "format": "int64", + "readOnly": true, + "type": "string" } } }, - "ToolResponse": { - "type": "object", + "TunedModel": { + "description": "A fine-tuned model created using ModelService.CreateTunedModel.", "properties": { - "id": { - "description": "Optional. The identifier of the tool call this response is for.", - "type": "string" + "tunedModelSource": { + "description": "Optional. TunedModel to use as the starting point for training the new model.", + "$ref": "#/components/schemas/TunedModelSource" }, - "toolType": { + "name": { + "readOnly": true, + "type": "string", + "description": "Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModels/az2mb0bpw6i` If display_name is set on create, the id portion of the name will be set by concatenating the words of the display_name with hyphens and adding a random portion for uniqueness. Example: * display_name = `Sentence Translator` * name = `tunedModels/sentence-translator-u3b7m`" + }, + "state": { "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." + "The default value. This value is unused.", + "The model is being created.", + "The model is ready to be used.", + "The model failed to be created." ], - "description": "Required. The type of tool that was called, matching the `tool_type` in the corresponding `ToolCall`.", + "readOnly": true, + "description": "Output only. The state of the tuned model.", "enum": [ - "TOOL_TYPE_UNSPECIFIED", - "GOOGLE_SEARCH_WEB", - "GOOGLE_SEARCH_IMAGE", - "URL_CONTEXT", - "GOOGLE_MAPS", - "FILE_SEARCH" + "STATE_UNSPECIFIED", + "CREATING", + "ACTIVE", + "FAILED" ] }, - "response": { - "type": "object", - "description": "Optional. The tool response.", - "additionalProperties": { - "description": "Properties of the object." - } - } - }, - "description": "The output from a server-side `ToolCall` execution. This message contains the results of a tool invocation that was initiated by a `ToolCall` from the model. The client should pass this `ToolResponse` back to the API in a subsequent turn within a `Content` message, along with the corresponding `ToolCall`." - }, - "LogprobsResult": { - "description": "Logprobs Result", - "type": "object", - "properties": { - "chosenCandidates": { - "type": "array", - "description": "Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates.", - "items": { - "$ref": "#/components/schemas/LogprobsResultCandidate" - } + "tuningTask": { + "$ref": "#/components/schemas/TuningTask", + "description": "Required. The tuning task that creates the tuned model." }, - "logProbabilitySum": { - "type": "number", + "baseModel": { + "description": "Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`", + "type": "string" + }, + "topK": { + "type": "integer", + "format": "int32", + "description": "Optional. For Top-k sampling. Top-k sampling considers the set of `top_k` most probable tokens. This value specifies default to be used by the backend while making the call to the model. This value specifies default to be the one used by the base model while creating the model." + }, + "temperature": { + "description": "Optional. Controls the randomness of the output. Values can range over `[0.0,1.0]`, inclusive. A value closer to `1.0` will produce responses that are more varied, while a value closer to `0.0` will typically result in less surprising responses from the model. This value specifies default to be the one used by the base model while creating the model.", "format": "float", - "description": "Sum of log probabilities for all tokens." + "type": "number" }, - "topCandidates": { - "type": "array", - "description": "Length = total number of decoding steps.", - "items": { - "$ref": "#/components/schemas/TopCandidates" - } - } - } - }, - "BatchEmbedContentsRequest": { - "description": "Batch request to get embeddings from the model for a list of prompts.", - "type": "object", - "properties": { - "requests": { - "description": "Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.", - "items": { - "$ref": "#/components/schemas/EmbedContentRequest" - }, - "type": "array" - } - } - }, - "GeneratedFile": { - "type": "object", - "properties": { - "name": { - "description": "Identifier. The name of the generated file. Example: `generatedFiles/abc-123`", + "displayName": { + "description": "Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.", "type": "string" }, - "mimeType": { - "description": "MIME type of the generatedFile.", - "type": "string" + "description": { + "type": "string", + "description": "Optional. A short description of this model." }, - "state": { - "description": "Output only. The state of the GeneratedFile.", - "enum": [ - "STATE_UNSPECIFIED", - "GENERATING", - "GENERATED", - "FAILED" - ], - "x-enum-descriptions": [ - "The default value. This value is used if the state is omitted.", - "Being generated.", - "Generated and is ready for download.", - "Failed to generate the GeneratedFile." - ], + "updateTime": { + "description": "Output only. The timestamp when this model was updated.", + "format": "google-datetime", "readOnly": true, "type": "string" }, - "error": { - "description": "Error details if the GeneratedFile ends up in the STATE_FAILED state.", - "$ref": "#/components/schemas/Status" + "topP": { + "type": "number", + "description": "Optional. For Nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`. This value specifies default to be the one used by the base model while creating the model.", + "format": "float" + }, + "readerProjectNumbers": { + "type": "array", + "items": { + "type": "string", + "format": "int64" + }, + "description": "Optional. List of project numbers that have read access to the tuned model." + }, + "createTime": { + "format": "google-datetime", + "description": "Output only. The timestamp when this model was created.", + "readOnly": true, + "type": "string" } }, - "description": "A file generated on behalf of a user." + "type": "object" }, - "FileData": { + "SearchEntryPoint": { + "type": "object", + "description": "Google search entry point.", "properties": { - "mimeType": { - "description": "Optional. The IANA standard MIME type of the source data.", - "type": "string" + "renderedContent": { + "type": "string", + "description": "Optional. Web content snippet that can be embedded in a web page or an app webview." }, - "fileUri": { - "description": "Required. URI.", - "type": "string" + "sdkBlob": { + "type": "string", + "description": "Optional. Base64 encoded JSON representing array of tuple.", + "format": "byte" } - }, - "type": "object", - "description": "URI based data." + } }, - "GenerateContentRequest": { - "description": "Request to generate a completion from the model.", + "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": { - "model": { - "description": "Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.", - "type": "string" - }, - "serviceTier": { + "granteeType": { "type": "string", "x-enum-descriptions": [ - "Default service tier, which is standard.", - "Standard service tier.", - "Flex service tier.", - "Priority service tier." + "The default value. This value is unused.", + "Represents a user. When set, you must provide email_address for the user.", + "Represents a group. When set, you must provide email_address for the group.", + "Represents access to everyone. No extra information is required." ], - "description": "Optional. The service tier of the request.", + "description": "Optional. Immutable. The type of the grantee.", "enum": [ - "unspecified", - "standard", - "flex", - "priority" + "GRANTEE_TYPE_UNSPECIFIED", + "USER", + "GROUP", + "EVERYONE" ] }, - "generationConfig": { - "description": "Optional. Configuration options for model generation and outputs.", - "$ref": "#/components/schemas/GenerationConfig" - }, - "toolConfig": { - "description": "Optional. Tool configuration for any `Tool` specified in the request. Refer to the [Function calling guide](https://ai.google.dev/gemini-api/docs/function-calling#function_calling_mode) for a usage example.", - "$ref": "#/components/schemas/ToolConfig" - }, - "store": { - "description": "Optional. Configures the logging behavior for a given request. If set, it takes precedence over the project-level logging config.", - "type": "boolean" - }, - "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": { - "$ref": "#/components/schemas/Tool" - } - }, - "cachedContent": { - "description": "Optional. The name of the content [cached](https://ai.google.dev/gemini-api/docs/caching) to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`", + "name": { + "description": "Output only. Identifier. The permission name. A unique name will be generated on create. Examples: tunedModels/{tuned_model}/permissions/{permission} corpora/{corpus}/permissions/{permission} Output only.", + "readOnly": true, "type": "string" }, - "systemInstruction": { - "$ref": "#/components/schemas/Content", - "description": "Optional. Developer set [system instruction(s)](https://ai.google.dev/gemini-api/docs/system-instructions). Currently, text only." - }, - "safetySettings": { - "type": "array", - "description": "Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateContentRequest.contents` and `GenerateContentResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any contents and responses that fail to meet the thresholds set by these settings. This list overrides the default settings for each `SafetyCategory` specified in the safety_settings. If there is no `SafetySetting` for a given `SafetyCategory` provided in the list, the API will use the default safety setting for that category. Harm categories HARM_CATEGORY_HATE_SPEECH, HARM_CATEGORY_SEXUALLY_EXPLICIT, HARM_CATEGORY_DANGEROUS_CONTENT, HARM_CATEGORY_HARASSMENT, HARM_CATEGORY_CIVIC_INTEGRITY are supported. Refer to the [guide](https://ai.google.dev/gemini-api/docs/safety-settings) for detailed information on available safety settings. Also refer to the [Safety guidance](https://ai.google.dev/gemini-api/docs/safety-guidance) to learn how to incorporate safety considerations in your AI applications.", - "items": { - "$ref": "#/components/schemas/SafetySetting" - } + "role": { + "type": "string", + "x-enum-descriptions": [ + "The default value. This value is unused.", + "Owner can use, update, share and delete the resource.", + "Writer can use, update and share the resource.", + "Reader can use the resource." + ], + "description": "Required. The role granted by this permission.", + "enum": [ + "ROLE_UNSPECIFIED", + "OWNER", + "WRITER", + "READER" + ] }, - "contents": { - "type": "array", - "description": "Required. The content of the current conversation with the model. For single-turn queries, this is a single instance. For multi-turn queries like [chat](https://ai.google.dev/gemini-api/docs/text-generation#chat), this is a repeated field that contains the conversation history and the latest request.", - "items": { - "$ref": "#/components/schemas/Content" - } + "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" } } }, - "UrlMetadata": { + "SafetySetting": { "type": "object", + "description": "Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.", "properties": { - "retrievedUrl": { - "description": "Retrieved url by the tool.", - "type": "string" - }, - "urlRetrievalStatus": { - "type": "string", - "description": "Status of the url retrieval.", + "category": { + "description": "Required. The category for this setting.", "enum": [ - "URL_RETRIEVAL_STATUS_UNSPECIFIED", - "URL_RETRIEVAL_STATUS_SUCCESS", - "URL_RETRIEVAL_STATUS_ERROR", - "URL_RETRIEVAL_STATUS_PAYWALL", - "URL_RETRIEVAL_STATUS_UNSAFE" + "HARM_CATEGORY_UNSPECIFIED", + "HARM_CATEGORY_DEROGATORY", + "HARM_CATEGORY_TOXICITY", + "HARM_CATEGORY_VIOLENCE", + "HARM_CATEGORY_SEXUAL", + "HARM_CATEGORY_MEDICAL", + "HARM_CATEGORY_DANGEROUS", + "HARM_CATEGORY_HARASSMENT", + "HARM_CATEGORY_HATE_SPEECH", + "HARM_CATEGORY_SEXUALLY_EXPLICIT", + "HARM_CATEGORY_DANGEROUS_CONTENT", + "HARM_CATEGORY_CIVIC_INTEGRITY" ], "x-enum-descriptions": [ - "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." + "Category is unspecified.", + "**PaLM** - Negative or harmful comments targeting identity and/or protected attribute.", + "**PaLM** - Content that is rude, disrespectful, or profane.", + "**PaLM** - Describes scenarios depicting violence against an individual or group, or general descriptions of gore.", + "**PaLM** - Contains references to sexual acts or other lewd content.", + "**PaLM** - Promotes unchecked medical advice.", + "**PaLM** - Dangerous content that promotes, facilitates, or encourages harmful acts.", + "**Gemini** - Harassment content.", + "**Gemini** - Hate speech and content.", + "**Gemini** - Sexually explicit content.", + "**Gemini** - Dangerous content.", + "**Gemini** - Content that may be used to harm civic integrity. DEPRECATED: use enable_enhanced_civic_answers instead." + ], + "type": "string", + "enumDeprecated": [ + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + false, + true + ] + }, + "threshold": { + "type": "string", + "x-enum-descriptions": [ + "Threshold is unspecified.", + "Content with NEGLIGIBLE will be allowed.", + "Content with NEGLIGIBLE and LOW will be allowed.", + "Content with NEGLIGIBLE, LOW, and MEDIUM will be allowed.", + "All content will be allowed.", + "Turn off the safety filter." + ], + "description": "Required. Controls the probability threshold at which harm is blocked.", + "enum": [ + "HARM_BLOCK_THRESHOLD_UNSPECIFIED", + "BLOCK_LOW_AND_ABOVE", + "BLOCK_MEDIUM_AND_ABOVE", + "BLOCK_ONLY_HIGH", + "BLOCK_NONE", + "OFF" ] } - }, - "description": "Context of the a single url retrieval." + } }, - "ComputerUse": { + "BatchEmbedContentsResponse": { + "description": "The response to a `BatchEmbedContentsRequest`.", "properties": { - "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.", + "embeddings": { "items": { - "type": "string" + "$ref": "#/components/schemas/ContentEmbedding" }, - "type": "array" + "readOnly": true, + "type": "array", + "description": "Output only. The embeddings for each request, in the same order as provided in the batch request." }, - "environment": { - "description": "Required. The environment being operated.", - "enum": [ - "ENVIRONMENT_UNSPECIFIED", - "ENVIRONMENT_BROWSER" - ], - "x-enum-descriptions": [ - "Defaults to browser.", - "Operates in a web browser." - ], - "type": "string" + "usageMetadata": { + "readOnly": true, + "$ref": "#/components/schemas/EmbeddingUsageMetadata", + "description": "Output only. The usage metadata for the request." } }, - "type": "object", - "description": "Computer Use tool type." - }, - "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); }", - "properties": {}, "type": "object" - }, - "AsyncBatchEmbedContentRequest": { - "properties": { - "batch": { - "description": "Required. The batch to create.", - "$ref": "#/components/schemas/EmbedContentBatch" - } - }, - "type": "object", - "description": "Request for an `AsyncBatchEmbedContent` operation." } } }