Safe Haskell	None
Language	GHC2021

GenAI.Client.Model

Contents

Parameter newtypes
Models
Enums

Description

Synopsis

newtype Alt = Alt {
- unAlt :: E'Alt
}
newtype Callback = Callback {
- unCallback :: Text
}
newtype Chunk2 = Chunk2 {
- unChunk2 :: Text
}
newtype Corpus2 = Corpus2 {
- unCorpus2 :: Text
}
newtype Document2 = Document2 {
- unDocument2 :: Text
}
newtype DynamicId = DynamicId {
- unDynamicId :: Text
}
newtype File2 = File2 {
- unFile2 :: Text
}
newtype Filter = Filter {
- unFilter :: Text
}
newtype Force = Force {
- unForce :: Bool
}
newtype GenerateContentBatch = GenerateContentBatch {
- unGenerateContentBatch :: Text
}
newtype GeneratedFile2 = GeneratedFile2 {
- unGeneratedFile2 :: Text
}
newtype Id = Id {
- unId :: Text
}
newtype Model2 = Model2 {
- unModel2 :: Text
}
newtype Operation2 = Operation2 {
- unOperation2 :: Text
}
newtype PageSize = PageSize {
- unPageSize :: Int
}
newtype PageToken = PageToken {
- unPageToken :: Text
}
newtype Permission2 = Permission2 {
- unPermission2 :: Text
}
newtype PrettyPrint = PrettyPrint {
- unPrettyPrint :: Bool
}
newtype TunedModel2 = TunedModel2 {
- unTunedModel2 :: Text
}
newtype TunedModelId = TunedModelId {
- unTunedModelId :: Text
}
newtype UpdateMask = UpdateMask {
- unUpdateMask :: Text
}
newtype Xgafv = Xgafv {
- unXgafv :: E'Xgafv
}
data AttributionSourceId = AttributionSourceId {
- attributionSourceIdGroundingPassage :: !(Maybe GroundingPassageId)
- attributionSourceIdSemanticRetrieverChunk :: !(Maybe SemanticRetrieverChunk)
}
mkAttributionSourceId :: AttributionSourceId
data BaseOperation = BaseOperation {
- baseOperationDone :: !(Maybe Bool)
- baseOperationName :: !(Maybe Text)
- baseOperationError :: !(Maybe Status)
}
mkBaseOperation :: BaseOperation
data BatchCreateChunksRequest = BatchCreateChunksRequest {
- batchCreateChunksRequestRequests :: ![CreateChunkRequest]
}
mkBatchCreateChunksRequest :: [CreateChunkRequest] -> BatchCreateChunksRequest
data BatchCreateChunksResponse = BatchCreateChunksResponse {
- batchCreateChunksResponseChunks :: !(Maybe [Chunk])
}
mkBatchCreateChunksResponse :: BatchCreateChunksResponse
data BatchDeleteChunksRequest = BatchDeleteChunksRequest {
- batchDeleteChunksRequestRequests :: ![DeleteChunkRequest]
}
mkBatchDeleteChunksRequest :: [DeleteChunkRequest] -> BatchDeleteChunksRequest
data BatchEmbedContentsRequest = BatchEmbedContentsRequest {
- batchEmbedContentsRequestRequests :: ![EmbedContentRequest]
}
mkBatchEmbedContentsRequest :: [EmbedContentRequest] -> BatchEmbedContentsRequest
data BatchEmbedContentsResponse = BatchEmbedContentsResponse {
- batchEmbedContentsResponseEmbeddings :: !(Maybe [ContentEmbedding])
}
mkBatchEmbedContentsResponse :: BatchEmbedContentsResponse
data BatchEmbedTextRequest = BatchEmbedTextRequest {
- batchEmbedTextRequestRequests :: !(Maybe [EmbedTextRequest])
- batchEmbedTextRequestTexts :: !(Maybe [Text])
}
mkBatchEmbedTextRequest :: BatchEmbedTextRequest
data BatchEmbedTextResponse = BatchEmbedTextResponse {
- batchEmbedTextResponseEmbeddings :: !(Maybe [Embedding])
}
mkBatchEmbedTextResponse :: BatchEmbedTextResponse
data BatchUpdateChunksRequest = BatchUpdateChunksRequest {
- batchUpdateChunksRequestRequests :: ![UpdateChunkRequest]
}
mkBatchUpdateChunksRequest :: [UpdateChunkRequest] -> BatchUpdateChunksRequest
data BatchUpdateChunksResponse = BatchUpdateChunksResponse {
- batchUpdateChunksResponseChunks :: !(Maybe [Chunk])
}
mkBatchUpdateChunksResponse :: BatchUpdateChunksResponse
data Blob = Blob {
- blobData :: !(Maybe ByteArray)
- blobMimeType :: !(Maybe Text)
}
mkBlob :: Blob
data CachedContent = CachedContent {
- cachedContentTools :: !(Maybe [Tool])
- cachedContentDisplayName :: !(Maybe Text)
- cachedContentModel :: !Text
- cachedContentExpireTime :: !(Maybe DateTime)
- cachedContentUsageMetadata :: !(Maybe CachedContentUsageMetadata)
- cachedContentName :: !(Maybe Text)
- cachedContentContents :: !(Maybe [Content])
- cachedContentSystemInstruction :: !(Maybe Content)
- cachedContentToolConfig :: !(Maybe ToolConfig)
- cachedContentCreateTime :: !(Maybe DateTime)
- cachedContentTtl :: !(Maybe Text)
- cachedContentUpdateTime :: !(Maybe DateTime)
}
mkCachedContent :: Text -> CachedContent
data CachedContentUsageMetadata = CachedContentUsageMetadata {
- cachedContentUsageMetadataTotalTokenCount :: !(Maybe Int)
}
mkCachedContentUsageMetadata :: CachedContentUsageMetadata
data Candidate = Candidate {
- candidateCitationMetadata :: !(Maybe CitationMetadata)
- candidateGroundingMetadata :: !(Maybe GroundingMetadata)
- candidateUrlContextMetadata :: !(Maybe UrlContextMetadata)
- candidateGroundingAttributions :: !(Maybe [GroundingAttribution])
- candidateLogprobsResult :: !(Maybe LogprobsResult)
- candidateContent :: !(Maybe Content)
- candidateAvgLogprobs :: !(Maybe Double)
- candidateIndex :: !(Maybe Int)
- candidateFinishReason :: !(Maybe E'FinishReason)
- candidateSafetyRatings :: !(Maybe [SafetyRating])
- candidateTokenCount :: !(Maybe Int)
}
mkCandidate :: Candidate
data Chunk = Chunk {
- chunkCreateTime :: !(Maybe DateTime)
- chunkCustomMetadata :: !(Maybe [CustomMetadata])
- chunkData :: !ChunkData
- chunkUpdateTime :: !(Maybe DateTime)
- chunkState :: !(Maybe E'State4)
- chunkName :: !(Maybe Text)
}
mkChunk :: ChunkData -> Chunk
data ChunkData = ChunkData {
- chunkDataStringValue :: !(Maybe Text)
}
mkChunkData :: ChunkData
data CitationMetadata = CitationMetadata {
- citationMetadataCitationSources :: !(Maybe [CitationSource])
}
mkCitationMetadata :: CitationMetadata
data CitationSource = CitationSource {
- citationSourceStartIndex :: !(Maybe Int)
- citationSourceUri :: !(Maybe Text)
- citationSourceEndIndex :: !(Maybe Int)
- citationSourceLicense :: !(Maybe Text)
}
mkCitationSource :: CitationSource
data CodeExecutionResult = CodeExecutionResult {
- codeExecutionResultOutcome :: !E'Outcome
- codeExecutionResultOutput :: !(Maybe Text)
}
mkCodeExecutionResult :: E'Outcome -> CodeExecutionResult
data Condition = Condition {
- conditionNumericValue :: !(Maybe Float)
- conditionOperation :: !E'Operation
- conditionStringValue :: !(Maybe Text)
}
mkCondition :: E'Operation -> Condition
data Content = Content {
- contentParts :: !(Maybe [Part])
- contentRole :: !(Maybe Text)
}
mkContent :: Content
data ContentEmbedding = ContentEmbedding {
- contentEmbeddingValues :: !(Maybe [Float])
}
mkContentEmbedding :: ContentEmbedding
data ContentFilter = ContentFilter {
- contentFilterReason :: !(Maybe E'Reason)
- contentFilterMessage :: !(Maybe Text)
}
mkContentFilter :: ContentFilter
data Corpus = Corpus {
- corpusUpdateTime :: !(Maybe DateTime)
- corpusCreateTime :: !(Maybe DateTime)
- corpusDisplayName :: !(Maybe Text)
- corpusName :: !(Maybe Text)
}
mkCorpus :: Corpus
data CountMessageTokensRequest = CountMessageTokensRequest {
- countMessageTokensRequestPrompt :: !MessagePrompt
}
mkCountMessageTokensRequest :: MessagePrompt -> CountMessageTokensRequest
data CountMessageTokensResponse = CountMessageTokensResponse {
- countMessageTokensResponseTokenCount :: !(Maybe Int)
}
mkCountMessageTokensResponse :: CountMessageTokensResponse
data CountTextTokensRequest = CountTextTokensRequest {
- countTextTokensRequestPrompt :: !TextPrompt
}
mkCountTextTokensRequest :: TextPrompt -> CountTextTokensRequest
data CountTextTokensResponse = CountTextTokensResponse {
- countTextTokensResponseTokenCount :: !(Maybe Int)
}
mkCountTextTokensResponse :: CountTextTokensResponse
data CountTokensRequest = CountTokensRequest {
- countTokensRequestContents :: !(Maybe [Content])
- countTokensRequestGenerateContentRequest :: !(Maybe GenerateContentRequest)
}
mkCountTokensRequest :: CountTokensRequest
data CountTokensResponse = CountTokensResponse {
- countTokensResponseCacheTokensDetails :: !(Maybe [ModalityTokenCount])
- countTokensResponsePromptTokensDetails :: !(Maybe [ModalityTokenCount])
- countTokensResponseTotalTokens :: !(Maybe Int)
- countTokensResponseCachedContentTokenCount :: !(Maybe Int)
}
mkCountTokensResponse :: CountTokensResponse
data CreateChunkRequest = CreateChunkRequest {
- createChunkRequestParent :: !Text
- createChunkRequestChunk :: !Chunk
}
mkCreateChunkRequest :: Text -> Chunk -> CreateChunkRequest
data CreateFileRequest = CreateFileRequest {
- createFileRequestFile :: !(Maybe File)
}
mkCreateFileRequest :: CreateFileRequest
data CreateFileResponse = CreateFileResponse {
- createFileResponseFile :: !(Maybe File)
}
mkCreateFileResponse :: CreateFileResponse
data CreateTunedModelMetadata = CreateTunedModelMetadata {
- createTunedModelMetadataCompletedPercent :: !(Maybe Float)
- createTunedModelMetadataCompletedSteps :: !(Maybe Int)
- createTunedModelMetadataTotalSteps :: !(Maybe Int)
- createTunedModelMetadataSnapshots :: !(Maybe [TuningSnapshot])
- createTunedModelMetadataTunedModel :: !(Maybe Text)
}
mkCreateTunedModelMetadata :: CreateTunedModelMetadata
data CreateTunedModelOperation = CreateTunedModelOperation {
- createTunedModelOperationDone :: !(Maybe Bool)
- createTunedModelOperationName :: !(Maybe Text)
- createTunedModelOperationError :: !(Maybe Status)
- createTunedModelOperationMetadata :: !(Maybe CreateTunedModelMetadata)
- createTunedModelOperationResponse :: !(Maybe TunedModel)
}
mkCreateTunedModelOperation :: CreateTunedModelOperation
data CustomMetadata = CustomMetadata {
- customMetadataStringListValue :: !(Maybe StringList)
- customMetadataStringValue :: !(Maybe Text)
- customMetadataKey :: !Text
- customMetadataNumericValue :: !(Maybe Float)
}
mkCustomMetadata :: Text -> CustomMetadata
data Dataset = Dataset {
- datasetExamples :: !(Maybe TuningExamples)
}
mkDataset :: Dataset
data DeleteChunkRequest = DeleteChunkRequest {
- deleteChunkRequestName :: !Text
}
mkDeleteChunkRequest :: Text -> DeleteChunkRequest
data Document = Document {
- documentUpdateTime :: !(Maybe DateTime)
- documentName :: !(Maybe Text)
- documentCustomMetadata :: !(Maybe [CustomMetadata])
- documentCreateTime :: !(Maybe DateTime)
- documentDisplayName :: !(Maybe Text)
}
mkDocument :: Document
data DynamicRetrievalConfig = DynamicRetrievalConfig {
- dynamicRetrievalConfigDynamicThreshold :: !(Maybe Float)
- dynamicRetrievalConfigMode :: !(Maybe E'Mode)
}
mkDynamicRetrievalConfig :: DynamicRetrievalConfig
data EmbedContentRequest = EmbedContentRequest {
- embedContentRequestTaskType :: !(Maybe TaskType)
- embedContentRequestContent :: !Content
- embedContentRequestOutputDimensionality :: !(Maybe Int)
- embedContentRequestModel :: !Text
- embedContentRequestTitle :: !(Maybe Text)
}
mkEmbedContentRequest :: Content -> Text -> EmbedContentRequest
data EmbedContentResponse = EmbedContentResponse {
- embedContentResponseEmbedding :: !(Maybe ContentEmbedding)
}
mkEmbedContentResponse :: EmbedContentResponse
data EmbedTextRequest = EmbedTextRequest {
- embedTextRequestText :: !(Maybe Text)
- embedTextRequestModel :: !Text
}
mkEmbedTextRequest :: Text -> EmbedTextRequest
data EmbedTextResponse = EmbedTextResponse {
- embedTextResponseEmbedding :: !(Maybe Embedding)
}
mkEmbedTextResponse :: EmbedTextResponse
data Embedding = Embedding {
- embeddingValue :: !(Maybe [Float])
}
mkEmbedding :: Embedding
data Example = Example {
- exampleOutput :: !Message
- exampleInput :: !Message
}
mkExample :: Message -> Message -> Example
data ExecutableCode = ExecutableCode {
- executableCodeLanguage :: !E'Language
- executableCodeCode :: !Text
}
mkExecutableCode :: E'Language -> Text -> ExecutableCode
data File = File {
- fileUri :: !(Maybe Text)
- fileName :: !(Maybe Text)
- fileExpirationTime :: !(Maybe DateTime)
- fileDisplayName :: !(Maybe Text)
- fileVideoMetadata :: !(Maybe VideoFileMetadata)
- fileState :: !(Maybe E'State)
- fileSource :: !(Maybe E'Source)
- fileMimeType :: !(Maybe Text)
- fileCreateTime :: !(Maybe DateTime)
- fileError :: !(Maybe Status)
- fileDownloadUri :: !(Maybe Text)
- fileSizeBytes :: !(Maybe Text)
- fileSha256Hash :: !(Maybe ByteArray)
- fileUpdateTime :: !(Maybe DateTime)
}
mkFile :: File
data FileData = FileData {
- fileDataMimeType :: !(Maybe Text)
- fileDataFileUri :: !Text
}
mkFileData :: Text -> FileData
data FunctionCall = FunctionCall {
- functionCallArgs :: !(Maybe (Map String String))
- functionCallId :: !(Maybe Text)
- functionCallName :: !Text
}
mkFunctionCall :: Text -> FunctionCall
data FunctionCallingConfig = FunctionCallingConfig {
- functionCallingConfigMode :: !(Maybe E'Mode2)
- functionCallingConfigAllowedFunctionNames :: !(Maybe [Text])
}
mkFunctionCallingConfig :: FunctionCallingConfig
data FunctionDeclaration = FunctionDeclaration {
- functionDeclarationParameters :: !(Maybe Schema)
- functionDeclarationName :: !Text
- functionDeclarationBehavior :: !(Maybe E'Behavior)
- functionDeclarationDescription :: !Text
- functionDeclarationResponse :: !(Maybe Schema)
- functionDeclarationResponseJsonSchema :: !(Maybe String)
- functionDeclarationParametersJsonSchema :: !(Maybe String)
}
mkFunctionDeclaration :: Text -> Text -> FunctionDeclaration
data FunctionResponse = FunctionResponse {
- functionResponseScheduling :: !(Maybe E'Scheduling)
- functionResponseId :: !(Maybe Text)
- functionResponseWillContinue :: !(Maybe Bool)
- functionResponseName :: !Text
- functionResponseResponse :: !(Map String String)
}
mkFunctionResponse :: Text -> Map String String -> FunctionResponse
data GenerateAnswerRequest = GenerateAnswerRequest {
- generateAnswerRequestSemanticRetriever :: !(Maybe SemanticRetrieverConfig)
- generateAnswerRequestTemperature :: !(Maybe Float)
- generateAnswerRequestAnswerStyle :: !E'AnswerStyle
- generateAnswerRequestContents :: ![Content]
- generateAnswerRequestSafetySettings :: !(Maybe [SafetySetting])
- generateAnswerRequestInlinePassages :: !(Maybe GroundingPassages)
}
mkGenerateAnswerRequest :: E'AnswerStyle -> [Content] -> GenerateAnswerRequest
data GenerateAnswerResponse = GenerateAnswerResponse {
- generateAnswerResponseAnswer :: !(Maybe Candidate)
- generateAnswerResponseInputFeedback :: !(Maybe InputFeedback)
- generateAnswerResponseAnswerableProbability :: !(Maybe Float)
}
mkGenerateAnswerResponse :: GenerateAnswerResponse
data GenerateContentRequest = GenerateContentRequest {
- generateContentRequestToolConfig :: !(Maybe ToolConfig)
- generateContentRequestTools :: !(Maybe [Tool])
- generateContentRequestContents :: ![Content]
- generateContentRequestSystemInstruction :: !(Maybe Content)
- generateContentRequestCachedContent :: !(Maybe Text)
- generateContentRequestSafetySettings :: !(Maybe [SafetySetting])
- generateContentRequestModel :: !Text
- generateContentRequestGenerationConfig :: !(Maybe GenerationConfig)
}
mkGenerateContentRequest :: [Content] -> Text -> GenerateContentRequest
data GenerateContentResponse = GenerateContentResponse {
- generateContentResponseCandidates :: !(Maybe [Candidate])
- generateContentResponseUsageMetadata :: !(Maybe UsageMetadata)
- generateContentResponseModelVersion :: !(Maybe Text)
- generateContentResponsePromptFeedback :: !(Maybe PromptFeedback)
- generateContentResponseResponseId :: !(Maybe Text)
}
mkGenerateContentResponse :: GenerateContentResponse
data GenerateMessageRequest = GenerateMessageRequest {
- generateMessageRequestTemperature :: !(Maybe Float)
- generateMessageRequestTopP :: !(Maybe Float)
- generateMessageRequestCandidateCount :: !(Maybe Int)
- generateMessageRequestTopK :: !(Maybe Int)
- generateMessageRequestPrompt :: !MessagePrompt
}
mkGenerateMessageRequest :: MessagePrompt -> GenerateMessageRequest
data GenerateMessageResponse = GenerateMessageResponse {
- generateMessageResponseCandidates :: !(Maybe [Message])
- generateMessageResponseMessages :: !(Maybe [Message])
- generateMessageResponseFilters :: !(Maybe [ContentFilter])
}
mkGenerateMessageResponse :: GenerateMessageResponse
data GenerateTextRequest = GenerateTextRequest {
- generateTextRequestStopSequences :: !(Maybe [Text])
- generateTextRequestPrompt :: !TextPrompt
- generateTextRequestMaxOutputTokens :: !(Maybe Int)
- generateTextRequestSafetySettings :: !(Maybe [SafetySetting])
- generateTextRequestTemperature :: !(Maybe Float)
- generateTextRequestTopK :: !(Maybe Int)
- generateTextRequestTopP :: !(Maybe Float)
- generateTextRequestCandidateCount :: !(Maybe Int)
}
mkGenerateTextRequest :: TextPrompt -> GenerateTextRequest
data GenerateTextResponse = GenerateTextResponse {
- generateTextResponseSafetyFeedback :: !(Maybe [SafetyFeedback])
- generateTextResponseCandidates :: !(Maybe [TextCompletion])
- generateTextResponseFilters :: !(Maybe [ContentFilter])
}
mkGenerateTextResponse :: GenerateTextResponse
data GenerateVideoResponse = GenerateVideoResponse {
- generateVideoResponseGeneratedSamples :: !(Maybe [Media])
- generateVideoResponseRaiMediaFilteredCount :: !(Maybe Int)
- generateVideoResponseRaiMediaFilteredReasons :: !(Maybe [Text])
}
mkGenerateVideoResponse :: GenerateVideoResponse
data GeneratedFile = GeneratedFile {
- generatedFileError :: !(Maybe Status)
- generatedFileName :: !(Maybe Text)
- generatedFileState :: !(Maybe E'State2)
- generatedFileMimeType :: !(Maybe Text)
}
mkGeneratedFile :: GeneratedFile
data GenerationConfig = GenerationConfig {
- generationConfigResponseSchema :: !(Maybe Schema)
- generationConfigThinkingConfig :: !(Maybe ThinkingConfig)
- generationConfigLogprobs :: !(Maybe Int)
- generationConfigMediaResolution :: !(Maybe E'MediaResolution)
- generationConfigStopSequences :: !(Maybe [Text])
- generationConfigSpeechConfig :: !(Maybe SpeechConfig)
- generationConfigResponseJsonSchema :: !(Maybe String)
- generationConfigPresencePenalty :: !(Maybe Float)
- generationConfigTopP :: !(Maybe Float)
- generationConfigTemperature :: !(Maybe Float)
- generationConfigTopK :: !(Maybe Int)
- generationConfigCandidateCount :: !(Maybe Int)
- generationConfigEnableEnhancedCivicAnswers :: !(Maybe Bool)
- generationConfigResponseLogprobs :: !(Maybe Bool)
- generationConfigResponseModalities :: !(Maybe [E'ResponseModalities])
- generationConfigFrequencyPenalty :: !(Maybe Float)
- generationConfigSeed :: !(Maybe Int)
- generationConfigMaxOutputTokens :: !(Maybe Int)
- generationConfigResponseMimeType :: !(Maybe Text)
}
mkGenerationConfig :: GenerationConfig
data GoogleSearch = GoogleSearch {
- googleSearchTimeRangeFilter :: !(Maybe Interval)
}
mkGoogleSearch :: GoogleSearch
data GoogleSearchRetrieval = GoogleSearchRetrieval {
- googleSearchRetrievalDynamicRetrievalConfig :: !(Maybe DynamicRetrievalConfig)
}
mkGoogleSearchRetrieval :: GoogleSearchRetrieval
data GroundingAttribution = GroundingAttribution {
- groundingAttributionSourceId :: !(Maybe AttributionSourceId)
- groundingAttributionContent :: !(Maybe Content)
}
mkGroundingAttribution :: GroundingAttribution
data GroundingChunk = GroundingChunk {
- groundingChunkWeb :: !(Maybe Web)
}
mkGroundingChunk :: GroundingChunk
data GroundingMetadata = GroundingMetadata {
- groundingMetadataRetrievalMetadata :: !(Maybe RetrievalMetadata)
- groundingMetadataWebSearchQueries :: !(Maybe [Text])
- groundingMetadataGroundingChunks :: !(Maybe [GroundingChunk])
- groundingMetadataSearchEntryPoint :: !(Maybe SearchEntryPoint)
- groundingMetadataGroundingSupports :: !(Maybe [GroundingSupport])
}
mkGroundingMetadata :: GroundingMetadata
data GroundingPassage = GroundingPassage {
- groundingPassageContent :: !(Maybe Content)
- groundingPassageId :: !(Maybe Text)
}
mkGroundingPassage :: GroundingPassage
data GroundingPassageId = GroundingPassageId {
- groundingPassageIdPassageId :: !(Maybe Text)
- groundingPassageIdPartIndex :: !(Maybe Int)
}
mkGroundingPassageId :: GroundingPassageId
data GroundingPassages = GroundingPassages {
- groundingPassagesPassages :: !(Maybe [GroundingPassage])
}
mkGroundingPassages :: GroundingPassages
data GroundingSupport = GroundingSupport {
- groundingSupportConfidenceScores :: !(Maybe [Float])
- groundingSupportGroundingChunkIndices :: !(Maybe [Int])
- groundingSupportSegment :: !(Maybe Segment)
}
mkGroundingSupport :: GroundingSupport
data Hyperparameters = Hyperparameters {
- hyperparametersEpochCount :: !(Maybe Int)
- hyperparametersLearningRate :: !(Maybe Float)
- hyperparametersLearningRateMultiplier :: !(Maybe Float)
- hyperparametersBatchSize :: !(Maybe Int)
}
mkHyperparameters :: Hyperparameters
data InputFeedback = InputFeedback {
- inputFeedbackSafetyRatings :: !(Maybe [SafetyRating])
- inputFeedbackBlockReason :: !(Maybe E'BlockReason2)
}
mkInputFeedback :: InputFeedback
data Interval = Interval {
- intervalStartTime :: !(Maybe DateTime)
- intervalEndTime :: !(Maybe DateTime)
}
mkInterval :: Interval
data ListCachedContentsResponse = ListCachedContentsResponse {
- listCachedContentsResponseNextPageToken :: !(Maybe Text)
- listCachedContentsResponseCachedContents :: !(Maybe [CachedContent])
}
mkListCachedContentsResponse :: ListCachedContentsResponse
data ListChunksResponse = ListChunksResponse {
- listChunksResponseNextPageToken :: !(Maybe Text)
- listChunksResponseChunks :: !(Maybe [Chunk])
}
mkListChunksResponse :: ListChunksResponse
data ListCorporaResponse = ListCorporaResponse {
- listCorporaResponseCorpora :: !(Maybe [Corpus])
- listCorporaResponseNextPageToken :: !(Maybe Text)
}
mkListCorporaResponse :: ListCorporaResponse
data ListDocumentsResponse = ListDocumentsResponse {
- listDocumentsResponseNextPageToken :: !(Maybe Text)
- listDocumentsResponseDocuments :: !(Maybe [Document])
}
mkListDocumentsResponse :: ListDocumentsResponse
data ListFilesResponse = ListFilesResponse {
- listFilesResponseNextPageToken :: !(Maybe Text)
- listFilesResponseFiles :: !(Maybe [File])
}
mkListFilesResponse :: ListFilesResponse
data ListGeneratedFilesResponse = ListGeneratedFilesResponse {
- listGeneratedFilesResponseNextPageToken :: !(Maybe Text)
- listGeneratedFilesResponseGeneratedFiles :: !(Maybe [GeneratedFile])
}
mkListGeneratedFilesResponse :: ListGeneratedFilesResponse
data ListModelsResponse = ListModelsResponse {
- listModelsResponseModels :: !(Maybe [Model])
- listModelsResponseNextPageToken :: !(Maybe Text)
}
mkListModelsResponse :: ListModelsResponse
data ListOperationsResponse = ListOperationsResponse {
- listOperationsResponseNextPageToken :: !(Maybe Text)
- listOperationsResponseOperations :: !(Maybe [Operation])
}
mkListOperationsResponse :: ListOperationsResponse
data ListPermissionsResponse = ListPermissionsResponse {
- listPermissionsResponsePermissions :: !(Maybe [Permission])
- listPermissionsResponseNextPageToken :: !(Maybe Text)
}
mkListPermissionsResponse :: ListPermissionsResponse
data ListTunedModelsResponse = ListTunedModelsResponse {
- listTunedModelsResponseNextPageToken :: !(Maybe Text)
- listTunedModelsResponseTunedModels :: !(Maybe [TunedModel])
}
mkListTunedModelsResponse :: ListTunedModelsResponse
data LogprobsResult = LogprobsResult {
- logprobsResultChosenCandidates :: !(Maybe [LogprobsResultCandidate])
- logprobsResultTopCandidates :: !(Maybe [TopCandidates])
}
mkLogprobsResult :: LogprobsResult
data LogprobsResultCandidate = LogprobsResultCandidate {
- logprobsResultCandidateLogProbability :: !(Maybe Float)
- logprobsResultCandidateTokenId :: !(Maybe Int)
- logprobsResultCandidateToken :: !(Maybe Text)
}
mkLogprobsResultCandidate :: LogprobsResultCandidate
data Media = Media {
- mediaVideo :: !(Maybe Video)
}
mkMedia :: Media
data Message = Message {
- messageCitationMetadata :: !(Maybe CitationMetadata)
- messageAuthor :: !(Maybe Text)
- messageContent :: !Text
}
mkMessage :: Text -> Message
data MessagePrompt = MessagePrompt {
- messagePromptContext :: !(Maybe Text)
- messagePromptMessages :: ![Message]
- messagePromptExamples :: !(Maybe [Example])
}
mkMessagePrompt :: [Message] -> MessagePrompt
data MetadataFilter = MetadataFilter {
- metadataFilterConditions :: ![Condition]
- metadataFilterKey :: !Text
}
mkMetadataFilter :: [Condition] -> Text -> MetadataFilter
data ModalityTokenCount = ModalityTokenCount {
- modalityTokenCountTokenCount :: !(Maybe Int)
- modalityTokenCountModality :: !(Maybe Modality)
}
mkModalityTokenCount :: ModalityTokenCount
data Model = Model {
- modelTopK :: !(Maybe Int)
- modelName :: !Text
- modelBaseModelId :: !Text
- modelVersion :: !Text
- modelInputTokenLimit :: !(Maybe Int)
- modelTopP :: !(Maybe Float)
- modelSupportedGenerationMethods :: !(Maybe [Text])
- modelTemperature :: !(Maybe Float)
- modelDisplayName :: !(Maybe Text)
- modelDescription :: !(Maybe Text)
- modelMaxTemperature :: !(Maybe Float)
- modelOutputTokenLimit :: !(Maybe Int)
}
mkModel :: Text -> Text -> Text -> Model
data MultiSpeakerVoiceConfig = MultiSpeakerVoiceConfig {
- multiSpeakerVoiceConfigSpeakerVoiceConfigs :: ![SpeakerVoiceConfig]
}
mkMultiSpeakerVoiceConfig :: [SpeakerVoiceConfig] -> MultiSpeakerVoiceConfig
data Operation = Operation {
- operationDone :: !(Maybe Bool)
- operationName :: !(Maybe Text)
- operationError :: !(Maybe Status)
- operationMetadata :: !(Maybe (Map String String))
- operationResponse :: !(Maybe (Map String String))
}
mkOperation :: Operation
data Part = Part {
- partInlineData :: !(Maybe Blob)
- partFunctionResponse :: !(Maybe FunctionResponse)
- partCodeExecutionResult :: !(Maybe CodeExecutionResult)
- partFileData :: !(Maybe FileData)
- partExecutableCode :: !(Maybe ExecutableCode)
- partVideoMetadata :: !(Maybe VideoMetadata)
- partThought :: !(Maybe Bool)
- partText :: !(Maybe Text)
- partThoughtSignature :: !(Maybe ByteArray)
- partFunctionCall :: !(Maybe FunctionCall)
}
mkPart :: Part
data Permission = Permission {
- permissionName :: !(Maybe Text)
- permissionGranteeType :: !(Maybe E'GranteeType)
- permissionRole :: !E'Role
- permissionEmailAddress :: !(Maybe Text)
}
mkPermission :: E'Role -> Permission
data PrebuiltVoiceConfig = PrebuiltVoiceConfig {
- prebuiltVoiceConfigVoiceName :: !(Maybe Text)
}
mkPrebuiltVoiceConfig :: PrebuiltVoiceConfig
data PredictLongRunningOperation = PredictLongRunningOperation {
- predictLongRunningOperationDone :: !(Maybe Bool)
- predictLongRunningOperationName :: !(Maybe Text)
- predictLongRunningOperationError :: !(Maybe Status)
- predictLongRunningOperationMetadata :: !(Maybe Value)
- predictLongRunningOperationResponse :: !(Maybe PredictLongRunningResponse)
}
mkPredictLongRunningOperation :: PredictLongRunningOperation
data PredictLongRunningRequest = PredictLongRunningRequest {
- predictLongRunningRequestParameters :: !(Maybe String)
- predictLongRunningRequestInstances :: ![String]
}
mkPredictLongRunningRequest :: [String] -> PredictLongRunningRequest
data PredictLongRunningResponse = PredictLongRunningResponse {
- predictLongRunningResponseGenerateVideoResponse :: !(Maybe GenerateVideoResponse)
}
mkPredictLongRunningResponse :: PredictLongRunningResponse
data PredictRequest = PredictRequest {
- predictRequestInstances :: ![String]
- predictRequestParameters :: !(Maybe String)
}
mkPredictRequest :: [String] -> PredictRequest
data PredictResponse = PredictResponse {
- predictResponsePredictions :: !(Maybe [String])
}
mkPredictResponse :: PredictResponse
data PromptFeedback = PromptFeedback {
- promptFeedbackBlockReason :: !(Maybe E'BlockReason)
- promptFeedbackSafetyRatings :: !(Maybe [SafetyRating])
}
mkPromptFeedback :: PromptFeedback
data QueryCorpusRequest = QueryCorpusRequest {
- queryCorpusRequestMetadataFilters :: !(Maybe [MetadataFilter])
- queryCorpusRequestQuery :: !Text
- queryCorpusRequestResultsCount :: !(Maybe Int)
}
mkQueryCorpusRequest :: Text -> QueryCorpusRequest
data QueryCorpusResponse = QueryCorpusResponse {
- queryCorpusResponseRelevantChunks :: !(Maybe [RelevantChunk])
}
mkQueryCorpusResponse :: QueryCorpusResponse
data QueryDocumentRequest = QueryDocumentRequest {
- queryDocumentRequestQuery :: !Text
- queryDocumentRequestResultsCount :: !(Maybe Int)
- queryDocumentRequestMetadataFilters :: !(Maybe [MetadataFilter])
}
mkQueryDocumentRequest :: Text -> QueryDocumentRequest
data QueryDocumentResponse = QueryDocumentResponse {
- queryDocumentResponseRelevantChunks :: !(Maybe [RelevantChunk])
}
mkQueryDocumentResponse :: QueryDocumentResponse
data RelevantChunk = RelevantChunk {
- relevantChunkChunk :: !(Maybe Chunk)
- relevantChunkChunkRelevanceScore :: !(Maybe Float)
}
mkRelevantChunk :: RelevantChunk
data RetrievalMetadata = RetrievalMetadata {
- retrievalMetadataGoogleSearchDynamicRetrievalScore :: !(Maybe Float)
}
mkRetrievalMetadata :: RetrievalMetadata
data SafetyFeedback = SafetyFeedback {
- safetyFeedbackSetting :: !(Maybe SafetySetting)
- safetyFeedbackRating :: !(Maybe SafetyRating)
}
mkSafetyFeedback :: SafetyFeedback
data SafetyRating = SafetyRating {
- safetyRatingCategory :: !HarmCategory
- safetyRatingBlocked :: !(Maybe Bool)
- safetyRatingProbability :: !E'Probability
}
mkSafetyRating :: HarmCategory -> E'Probability -> SafetyRating
data SafetySetting = SafetySetting {
- safetySettingThreshold :: !E'Threshold
- safetySettingCategory :: !HarmCategory
}
mkSafetySetting :: E'Threshold -> HarmCategory -> SafetySetting
data Schema = Schema {
- schemaItems :: !(Maybe Schema)
- schemaAnyOf :: !(Maybe [Schema])
- schemaMinLength :: !(Maybe Text)
- schemaMaximum :: !(Maybe Double)
- schemaPropertyOrdering :: !(Maybe [Text])
- schemaNullable :: !(Maybe Bool)
- schemaRequired :: !(Maybe [Text])
- schemaMinProperties :: !(Maybe Text)
- schemaMaxItems :: !(Maybe Text)
- schemaExample :: !(Maybe String)
- schemaTitle :: !(Maybe Text)
- schemaMinItems :: !(Maybe Text)
- schemaDescription :: !(Maybe Text)
- schemaType :: !ModelType
- schemaDefault :: !(Maybe String)
- schemaMinimum :: !(Maybe Double)
- schemaPattern :: !(Maybe Text)
- schemaProperties :: !(Maybe (Map String Schema))
- schemaMaxProperties :: !(Maybe Text)
- schemaFormat :: !(Maybe Text)
- schemaEnum :: !(Maybe [Text])
- schemaMaxLength :: !(Maybe Text)
}
mkSchema :: ModelType -> Schema
data SearchEntryPoint = SearchEntryPoint {
- searchEntryPointSdkBlob :: !(Maybe ByteArray)
- searchEntryPointRenderedContent :: !(Maybe Text)
}
mkSearchEntryPoint :: SearchEntryPoint
data Segment = Segment {
- segmentPartIndex :: !(Maybe Int)
- segmentStartIndex :: !(Maybe Int)
- segmentText :: !(Maybe Text)
- segmentEndIndex :: !(Maybe Int)
}
mkSegment :: Segment
data SemanticRetrieverChunk = SemanticRetrieverChunk {
- semanticRetrieverChunkChunk :: !(Maybe Text)
- semanticRetrieverChunkSource :: !(Maybe Text)
}
mkSemanticRetrieverChunk :: SemanticRetrieverChunk
data SemanticRetrieverConfig = SemanticRetrieverConfig {
- semanticRetrieverConfigSource :: !Text
- semanticRetrieverConfigQuery :: !Content
- semanticRetrieverConfigMaxChunksCount :: !(Maybe Int)
- semanticRetrieverConfigMetadataFilters :: !(Maybe [MetadataFilter])
- semanticRetrieverConfigMinimumRelevanceScore :: !(Maybe Float)
}
mkSemanticRetrieverConfig :: Text -> Content -> SemanticRetrieverConfig
data SpeakerVoiceConfig = SpeakerVoiceConfig {
- speakerVoiceConfigVoiceConfig :: !VoiceConfig
- speakerVoiceConfigSpeaker :: !Text
}
mkSpeakerVoiceConfig :: VoiceConfig -> Text -> SpeakerVoiceConfig
data SpeechConfig = SpeechConfig {
- speechConfigVoiceConfig :: !(Maybe VoiceConfig)
- speechConfigLanguageCode :: !(Maybe Text)
- speechConfigMultiSpeakerVoiceConfig :: !(Maybe MultiSpeakerVoiceConfig)
}
mkSpeechConfig :: SpeechConfig
data Status = Status {
- statusCode :: !(Maybe Int)
- statusDetails :: !(Maybe [Map String String])
- statusMessage :: !(Maybe Text)
}
mkStatus :: Status
data StringList = StringList {
- stringListValues :: !(Maybe [Text])
}
mkStringList :: StringList
data TextCompletion = TextCompletion {
- textCompletionSafetyRatings :: !(Maybe [SafetyRating])
- textCompletionOutput :: !(Maybe Text)
- textCompletionCitationMetadata :: !(Maybe CitationMetadata)
}
mkTextCompletion :: TextCompletion
data TextPrompt = TextPrompt {
- textPromptText :: !Text
}
mkTextPrompt :: Text -> TextPrompt
data ThinkingConfig = ThinkingConfig {
- thinkingConfigThinkingBudget :: !(Maybe Int)
- thinkingConfigIncludeThoughts :: !(Maybe Bool)
}
mkThinkingConfig :: ThinkingConfig
data Tool = Tool {
- toolFunctionDeclarations :: !(Maybe [FunctionDeclaration])
- toolGoogleSearchRetrieval :: !(Maybe GoogleSearchRetrieval)
- toolGoogleSearch :: !(Maybe GoogleSearch)
- toolCodeExecution :: !(Maybe Value)
- toolUrlContext :: !(Maybe Value)
}
mkTool :: Tool
data ToolConfig = ToolConfig {
- toolConfigFunctionCallingConfig :: !(Maybe FunctionCallingConfig)
}
mkToolConfig :: ToolConfig
data TopCandidates = TopCandidates {
- topCandidatesCandidates :: !(Maybe [LogprobsResultCandidate])
}
mkTopCandidates :: TopCandidates
data TransferOwnershipRequest = TransferOwnershipRequest {
- transferOwnershipRequestEmailAddress :: !Text
}
mkTransferOwnershipRequest :: Text -> TransferOwnershipRequest
data TunedModel = TunedModel {
- tunedModelUpdateTime :: !(Maybe DateTime)
- tunedModelName :: !(Maybe Text)
- tunedModelCreateTime :: !(Maybe DateTime)
- tunedModelTuningTask :: !TuningTask
- tunedModelTunedModelSource :: !(Maybe TunedModelSource)
- tunedModelBaseModel :: !(Maybe Text)
- tunedModelReaderProjectNumbers :: !(Maybe [Text])
- tunedModelDisplayName :: !(Maybe Text)
- tunedModelTemperature :: !(Maybe Float)
- tunedModelDescription :: !(Maybe Text)
- tunedModelTopP :: !(Maybe Float)
- tunedModelTopK :: !(Maybe Int)
- tunedModelState :: !(Maybe E'State3)
}
mkTunedModel :: TuningTask -> TunedModel
data TunedModelSource = TunedModelSource {
- tunedModelSourceTunedModel :: !(Maybe Text)
- tunedModelSourceBaseModel :: !(Maybe Text)
}
mkTunedModelSource :: TunedModelSource
data TuningExample = TuningExample {
- tuningExampleTextInput :: !(Maybe Text)
- tuningExampleOutput :: !Text
}
mkTuningExample :: Text -> TuningExample
data TuningExamples = TuningExamples {
- tuningExamplesExamples :: !(Maybe [TuningExample])
}
mkTuningExamples :: TuningExamples
data TuningSnapshot = TuningSnapshot {
- tuningSnapshotMeanLoss :: !(Maybe Float)
- tuningSnapshotComputeTime :: !(Maybe DateTime)
- tuningSnapshotStep :: !(Maybe Int)
- tuningSnapshotEpoch :: !(Maybe Int)
}
mkTuningSnapshot :: TuningSnapshot
data TuningTask = TuningTask {
- tuningTaskStartTime :: !(Maybe DateTime)
- tuningTaskTrainingData :: !Dataset
- tuningTaskHyperparameters :: !(Maybe Hyperparameters)
- tuningTaskCompleteTime :: !(Maybe DateTime)
- tuningTaskSnapshots :: !(Maybe [TuningSnapshot])
}
mkTuningTask :: Dataset -> TuningTask
data UpdateChunkRequest = UpdateChunkRequest {
- updateChunkRequestUpdateMask :: !Text
- updateChunkRequestChunk :: !Chunk
}
mkUpdateChunkRequest :: Text -> Chunk -> UpdateChunkRequest
data UrlContextMetadata = UrlContextMetadata {
- urlContextMetadataUrlMetadata :: !(Maybe [UrlMetadata])
}
mkUrlContextMetadata :: UrlContextMetadata
data UrlMetadata = UrlMetadata {
- urlMetadataRetrievedUrl :: !(Maybe Text)
- urlMetadataUrlRetrievalStatus :: !(Maybe E'UrlRetrievalStatus)
}
mkUrlMetadata :: UrlMetadata
data UsageMetadata = UsageMetadata {
- usageMetadataCandidatesTokensDetails :: !(Maybe [ModalityTokenCount])
- usageMetadataThoughtsTokenCount :: !(Maybe Int)
- usageMetadataToolUsePromptTokenCount :: !(Maybe Int)
- usageMetadataCachedContentTokenCount :: !(Maybe Int)
- usageMetadataPromptTokenCount :: !(Maybe Int)
- usageMetadataCandidatesTokenCount :: !(Maybe Int)
- usageMetadataPromptTokensDetails :: !(Maybe [ModalityTokenCount])
- usageMetadataTotalTokenCount :: !(Maybe Int)
- usageMetadataCacheTokensDetails :: !(Maybe [ModalityTokenCount])
- usageMetadataToolUsePromptTokensDetails :: !(Maybe [ModalityTokenCount])
}
mkUsageMetadata :: UsageMetadata
data Video = Video {
- videoVideo :: !(Maybe ByteArray)
- videoUri :: !(Maybe Text)
}
mkVideo :: Video
data VideoFileMetadata = VideoFileMetadata {
- videoFileMetadataVideoDuration :: !(Maybe Text)
}
mkVideoFileMetadata :: VideoFileMetadata
data VideoMetadata = VideoMetadata {
- videoMetadataEndOffset :: !(Maybe Text)
- videoMetadataStartOffset :: !(Maybe Text)
- videoMetadataFps :: !(Maybe Double)
}
mkVideoMetadata :: VideoMetadata
data VoiceConfig = VoiceConfig {
- voiceConfigPrebuiltVoiceConfig :: !(Maybe PrebuiltVoiceConfig)
}
mkVoiceConfig :: VoiceConfig
data Web = Web {
- webTitle :: !(Maybe Text)
- webUri :: !(Maybe Text)
}
mkWeb :: Web
data E'Alt
- = E'Alt'Json
- | E'Alt'Media
- | E'Alt'Proto
fromE'Alt :: E'Alt -> Text
toE'Alt :: Text -> Either String E'Alt
data E'AnswerStyle
- = E'AnswerStyle'ANSWER_STYLE_UNSPECIFIED
- | E'AnswerStyle'ABSTRACTIVE
- | E'AnswerStyle'EXTRACTIVE
- | E'AnswerStyle'VERBOSE
fromE'AnswerStyle :: E'AnswerStyle -> Text
toE'AnswerStyle :: Text -> Either String E'AnswerStyle
data E'Behavior
- = E'Behavior'UNSPECIFIED
- | E'Behavior'BLOCKING
- | E'Behavior'NON_BLOCKING
fromE'Behavior :: E'Behavior -> Text
toE'Behavior :: Text -> Either String E'Behavior
data E'BlockReason
- = E'BlockReason'BLOCK_REASON_UNSPECIFIED
- | E'BlockReason'SAFETY
- | E'BlockReason'OTHER
- | E'BlockReason'BLOCKLIST
- | E'BlockReason'PROHIBITED_CONTENT
- | E'BlockReason'IMAGE_SAFETY
fromE'BlockReason :: E'BlockReason -> Text
toE'BlockReason :: Text -> Either String E'BlockReason
data E'BlockReason2
- = E'BlockReason2'BLOCK_REASON_UNSPECIFIED
- | E'BlockReason2'SAFETY
- | E'BlockReason2'OTHER
fromE'BlockReason2 :: E'BlockReason2 -> Text
toE'BlockReason2 :: Text -> Either String E'BlockReason2
data E'FinishReason
- = E'FinishReason'FINISH_REASON_UNSPECIFIED
- | E'FinishReason'STOP
- | E'FinishReason'MAX_TOKENS
- | E'FinishReason'SAFETY
- | E'FinishReason'RECITATION
- | E'FinishReason'LANGUAGE
- | E'FinishReason'OTHER
- | E'FinishReason'BLOCKLIST
- | E'FinishReason'PROHIBITED_CONTENT
- | E'FinishReason'SPII
- | E'FinishReason'MALFORMED_FUNCTION_CALL
- | E'FinishReason'IMAGE_SAFETY
fromE'FinishReason :: E'FinishReason -> Text
toE'FinishReason :: Text -> Either String E'FinishReason
data E'GranteeType
- = E'GranteeType'GRANTEE_TYPE_UNSPECIFIED
- | E'GranteeType'USER
- | E'GranteeType'GROUP
- | E'GranteeType'EVERYONE
fromE'GranteeType :: E'GranteeType -> Text
toE'GranteeType :: Text -> Either String E'GranteeType
data E'Language
- = E'Language'LANGUAGE_UNSPECIFIED
- | E'Language'PYTHON
fromE'Language :: E'Language -> Text
toE'Language :: Text -> Either String E'Language
data E'MediaResolution
- = E'MediaResolution'UNSPECIFIED
- | E'MediaResolution'LOW
- | E'MediaResolution'MEDIUM
- | E'MediaResolution'HIGH
fromE'MediaResolution :: E'MediaResolution -> Text
toE'MediaResolution :: Text -> Either String E'MediaResolution
data E'Mode
- = E'Mode'UNSPECIFIED
- | E'Mode'DYNAMIC
fromE'Mode :: E'Mode -> Text
toE'Mode :: Text -> Either String E'Mode
data E'Mode2
- = E'Mode2'MODE_UNSPECIFIED
- | E'Mode2'AUTO
- | E'Mode2'ANY
- | E'Mode2'NONE
- | E'Mode2'VALIDATED
fromE'Mode2 :: E'Mode2 -> Text
toE'Mode2 :: Text -> Either String E'Mode2
data E'Operation
- = E'Operation'OPERATOR_UNSPECIFIED
- | E'Operation'LESS
- | E'Operation'LESS_EQUAL
- | E'Operation'EQUAL
- | E'Operation'GREATER_EQUAL
- | E'Operation'GREATER
- | E'Operation'NOT_EQUAL
- | E'Operation'INCLUDES
- | E'Operation'EXCLUDES
fromE'Operation :: E'Operation -> Text
toE'Operation :: Text -> Either String E'Operation
data E'Outcome
- = E'Outcome'UNSPECIFIED
- | E'Outcome'OK
- | E'Outcome'FAILED
- | E'Outcome'DEADLINE_EXCEEDED
fromE'Outcome :: E'Outcome -> Text
toE'Outcome :: Text -> Either String E'Outcome
data E'Probability
- = E'Probability'HARM_PROBABILITY_UNSPECIFIED
- | E'Probability'NEGLIGIBLE
- | E'Probability'LOW
- | E'Probability'MEDIUM
- | E'Probability'HIGH
fromE'Probability :: E'Probability -> Text
toE'Probability :: Text -> Either String E'Probability
data E'Reason
- = E'Reason'BLOCKED_REASON_UNSPECIFIED
- | E'Reason'SAFETY
- | E'Reason'OTHER
fromE'Reason :: E'Reason -> Text
toE'Reason :: Text -> Either String E'Reason
data E'ResponseModalities
- = E'ResponseModalities'MODALITY_UNSPECIFIED
- | E'ResponseModalities'TEXT
- | E'ResponseModalities'IMAGE
- | E'ResponseModalities'AUDIO
fromE'ResponseModalities :: E'ResponseModalities -> Text
toE'ResponseModalities :: Text -> Either String E'ResponseModalities
data E'Role
- = E'Role'ROLE_UNSPECIFIED
- | E'Role'OWNER
- | E'Role'WRITER
- | E'Role'READER
fromE'Role :: E'Role -> Text
toE'Role :: Text -> Either String E'Role
data E'Scheduling
- = E'Scheduling'SCHEDULING_UNSPECIFIED
- | E'Scheduling'SILENT
- | E'Scheduling'WHEN_IDLE
- | E'Scheduling'INTERRUPT
fromE'Scheduling :: E'Scheduling -> Text
toE'Scheduling :: Text -> Either String E'Scheduling
data E'Source
- = E'Source'SOURCE_UNSPECIFIED
- | E'Source'UPLOADED
- | E'Source'GENERATED
fromE'Source :: E'Source -> Text
toE'Source :: Text -> Either String E'Source
data E'State
- = E'State'STATE_UNSPECIFIED
- | E'State'PROCESSING
- | E'State'ACTIVE
- | E'State'FAILED
fromE'State :: E'State -> Text
toE'State :: Text -> Either String E'State
data E'State2
- = E'State2'STATE_UNSPECIFIED
- | E'State2'GENERATING
- | E'State2'GENERATED
- | E'State2'FAILED
fromE'State2 :: E'State2 -> Text
toE'State2 :: Text -> Either String E'State2
data E'State3
- = E'State3'STATE_UNSPECIFIED
- | E'State3'CREATING
- | E'State3'ACTIVE
- | E'State3'FAILED
fromE'State3 :: E'State3 -> Text
toE'State3 :: Text -> Either String E'State3
data E'State4
- = E'State4'UNSPECIFIED
- | E'State4'PENDING_PROCESSING
- | E'State4'ACTIVE
- | E'State4'FAILED
fromE'State4 :: E'State4 -> Text
toE'State4 :: Text -> Either String E'State4
data E'Threshold
- = E'Threshold'HARM_BLOCK_THRESHOLD_UNSPECIFIED
- | E'Threshold'BLOCK_LOW_AND_ABOVE
- | E'Threshold'BLOCK_MEDIUM_AND_ABOVE
- | E'Threshold'BLOCK_ONLY_HIGH
- | E'Threshold'BLOCK_NONE
- | E'Threshold'OFF
fromE'Threshold :: E'Threshold -> Text
toE'Threshold :: Text -> Either String E'Threshold
data E'UrlRetrievalStatus
- = E'UrlRetrievalStatus'UNSPECIFIED
- | E'UrlRetrievalStatus'SUCCESS
- | E'UrlRetrievalStatus'ERROR
fromE'UrlRetrievalStatus :: E'UrlRetrievalStatus -> Text
toE'UrlRetrievalStatus :: Text -> Either String E'UrlRetrievalStatus
data E'Xgafv
- = E'Xgafv'1
- | E'Xgafv'2
fromE'Xgafv :: E'Xgafv -> Text
toE'Xgafv :: Text -> Either String E'Xgafv
data HarmCategory
- = HarmCategory'UNSPECIFIED
- | HarmCategory'DEROGATORY
- | HarmCategory'TOXICITY
- | HarmCategory'VIOLENCE
- | HarmCategory'SEXUAL
- | HarmCategory'MEDICAL
- | HarmCategory'DANGEROUS
- | HarmCategory'HARASSMENT
- | HarmCategory'HATE_SPEECH
- | HarmCategory'SEXUALLY_EXPLICIT
- | HarmCategory'DANGEROUS_CONTENT
- | HarmCategory'CIVIC_INTEGRITY
fromHarmCategory :: HarmCategory -> Text
toHarmCategory :: Text -> Either String HarmCategory
data Modality
- = Modality'MODALITY_UNSPECIFIED
- | Modality'TEXT
- | Modality'IMAGE
- | Modality'VIDEO
- | Modality'AUDIO
- | Modality'DOCUMENT
fromModality :: Modality -> Text
toModality :: Text -> Either String Modality
data ModelType
- = ModelType'TYPE_UNSPECIFIED
- | ModelType'STRING
- | ModelType'NUMBER
- | ModelType'INTEGER
- | ModelType'BOOLEAN
- | ModelType'ARRAY
- | ModelType'OBJECT
- | ModelType'NULL
fromModelType :: ModelType -> Text
toModelType :: Text -> Either String ModelType
data TaskType
- = TaskType'TASK_TYPE_UNSPECIFIED
- | TaskType'RETRIEVAL_QUERY
- | TaskType'RETRIEVAL_DOCUMENT
- | TaskType'SEMANTIC_SIMILARITY
- | TaskType'CLASSIFICATION
- | TaskType'CLUSTERING
- | TaskType'QUESTION_ANSWERING
- | TaskType'FACT_VERIFICATION
- | TaskType'CODE_RETRIEVAL_QUERY
fromTaskType :: TaskType -> Text
toTaskType :: Text -> Either String TaskType

Parameter newtypes

Alt

newtype Alt Source #

Constructors

Alt
Fields unAlt :: E'Alt

Instances

Instances details

Show Alt Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Alt -> ShowS # show :: Alt -> String # showList :: [Alt] -> ShowS #
Eq Alt Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Alt -> Alt -> Bool # (/=) :: Alt -> Alt -> Bool #
HasOptionalParam BatchCreateChunks Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> Alt -> ClientRequest BatchCreateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> Alt -> ClientRequest BatchCreateChunks contentType res accept Source #
HasOptionalParam BatchDeleteChunks Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> Alt -> ClientRequest BatchDeleteChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> Alt -> ClientRequest BatchDeleteChunks contentType res accept Source #
HasOptionalParam BatchEmbedContents Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> Alt -> ClientRequest BatchEmbedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> Alt -> ClientRequest BatchEmbedContents contentType res accept Source #
HasOptionalParam BatchEmbedText Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> Alt -> ClientRequest BatchEmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> Alt -> ClientRequest BatchEmbedText contentType res accept Source #
HasOptionalParam BatchUpdateChunks Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> Alt -> ClientRequest BatchUpdateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> Alt -> ClientRequest BatchUpdateChunks contentType res accept Source #
HasOptionalParam CancelOperation Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> Alt -> ClientRequest CancelOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> Alt -> ClientRequest CancelOperation contentType res accept Source #
HasOptionalParam CountMessageTokens Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> Alt -> ClientRequest CountMessageTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> Alt -> ClientRequest CountMessageTokens contentType res accept Source #
HasOptionalParam CountTextTokens Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> Alt -> ClientRequest CountTextTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> Alt -> ClientRequest CountTextTokens contentType res accept Source #
HasOptionalParam CountTokens Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> Alt -> ClientRequest CountTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> Alt -> ClientRequest CountTokens contentType res accept Source #
HasOptionalParam CreateCachedContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> Alt -> ClientRequest CreateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> Alt -> ClientRequest CreateCachedContent contentType res accept Source #
HasOptionalParam CreateChunk Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> Alt -> ClientRequest CreateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> Alt -> ClientRequest CreateChunk contentType res accept Source #
HasOptionalParam CreateCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> Alt -> ClientRequest CreateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> Alt -> ClientRequest CreateCorpus contentType res accept Source #
HasOptionalParam CreateDocument Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> Alt -> ClientRequest CreateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> Alt -> ClientRequest CreateDocument contentType res accept Source #
HasOptionalParam CreateFile Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> Alt -> ClientRequest CreateFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> Alt -> ClientRequest CreateFile contentType res accept Source #
HasOptionalParam CreatePermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> Alt -> ClientRequest CreatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> Alt -> ClientRequest CreatePermission contentType res accept Source #
HasOptionalParam CreatePermissionByCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> Alt -> ClientRequest CreatePermissionByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> Alt -> ClientRequest CreatePermissionByCorpus contentType res accept Source #
HasOptionalParam CreateTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> Alt -> ClientRequest CreateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> Alt -> ClientRequest CreateTunedModel contentType res accept Source #
HasOptionalParam DeleteCachedContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> Alt -> ClientRequest DeleteCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> Alt -> ClientRequest DeleteCachedContent contentType res accept Source #
HasOptionalParam DeleteChunk Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> Alt -> ClientRequest DeleteChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> Alt -> ClientRequest DeleteChunk contentType res accept Source #
HasOptionalParam DeleteCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Alt -> ClientRequest DeleteCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Alt -> ClientRequest DeleteCorpus contentType res accept Source #
HasOptionalParam DeleteDocument Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Alt -> ClientRequest DeleteDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Alt -> ClientRequest DeleteDocument contentType res accept Source #
HasOptionalParam DeleteFile Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> Alt -> ClientRequest DeleteFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> Alt -> ClientRequest DeleteFile contentType res accept Source #
HasOptionalParam DeletePermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> Alt -> ClientRequest DeletePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> Alt -> ClientRequest DeletePermission contentType res accept Source #
HasOptionalParam DeletePermissionByCorpusAndPermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> Alt -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> Alt -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam DeleteTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> Alt -> ClientRequest DeleteTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> Alt -> ClientRequest DeleteTunedModel contentType res accept Source #
HasOptionalParam DownloadFile Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> Alt -> ClientRequest DownloadFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> Alt -> ClientRequest DownloadFile contentType res accept Source #
HasOptionalParam EmbedContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> Alt -> ClientRequest EmbedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> Alt -> ClientRequest EmbedContent contentType res accept Source #
HasOptionalParam EmbedText Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> Alt -> ClientRequest EmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> Alt -> ClientRequest EmbedText contentType res accept Source #
HasOptionalParam GenerateAnswer Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> Alt -> ClientRequest GenerateAnswer contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> Alt -> ClientRequest GenerateAnswer contentType res accept Source #
HasOptionalParam GenerateContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> Alt -> ClientRequest GenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> Alt -> ClientRequest GenerateContent contentType res accept Source #
HasOptionalParam GenerateContentByDynamicId Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> Alt -> ClientRequest GenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> Alt -> ClientRequest GenerateContentByDynamicId contentType res accept Source #
HasOptionalParam GenerateContentByTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> Alt -> ClientRequest GenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> Alt -> ClientRequest GenerateContentByTunedModel contentType res accept Source #
HasOptionalParam GenerateMessage Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> Alt -> ClientRequest GenerateMessage contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> Alt -> ClientRequest GenerateMessage contentType res accept Source #
HasOptionalParam GenerateText Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> Alt -> ClientRequest GenerateText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> Alt -> ClientRequest GenerateText contentType res accept Source #
HasOptionalParam GenerateTextByTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> Alt -> ClientRequest GenerateTextByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> Alt -> ClientRequest GenerateTextByTunedModel contentType res accept Source #
HasOptionalParam GetCachedContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> Alt -> ClientRequest GetCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> Alt -> ClientRequest GetCachedContent contentType res accept Source #
HasOptionalParam GetChunk Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> Alt -> ClientRequest GetChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> Alt -> ClientRequest GetChunk contentType res accept Source #
HasOptionalParam GetCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> Alt -> ClientRequest GetCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> Alt -> ClientRequest GetCorpus contentType res accept Source #
HasOptionalParam GetDocument Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> Alt -> ClientRequest GetDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> Alt -> ClientRequest GetDocument contentType res accept Source #
HasOptionalParam GetFile Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> Alt -> ClientRequest GetFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> Alt -> ClientRequest GetFile contentType res accept Source #
HasOptionalParam GetGeneratedFile Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> Alt -> ClientRequest GetGeneratedFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> Alt -> ClientRequest GetGeneratedFile contentType res accept Source #
HasOptionalParam GetModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> Alt -> ClientRequest GetModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> Alt -> ClientRequest GetModel contentType res accept Source #
HasOptionalParam GetOperation Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> Alt -> ClientRequest GetOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> Alt -> ClientRequest GetOperation contentType res accept Source #
HasOptionalParam GetOperationByGenerateContentBatch Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> Alt -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> Alt -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source #
HasOptionalParam GetOperationByGeneratedFileAndOperation Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> Alt -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> Alt -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source #
HasOptionalParam GetOperationByModelAndOperation Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> Alt -> ClientRequest GetOperationByModelAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> Alt -> ClientRequest GetOperationByModelAndOperation contentType res accept Source #
HasOptionalParam GetPermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> Alt -> ClientRequest GetPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> Alt -> ClientRequest GetPermission contentType res accept Source #
HasOptionalParam GetPermissionByCorpusAndPermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> Alt -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> Alt -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam GetTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> Alt -> ClientRequest GetTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> Alt -> ClientRequest GetTunedModel contentType res accept Source #
HasOptionalParam ListCachedContents Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> Alt -> ClientRequest ListCachedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> Alt -> ClientRequest ListCachedContents contentType res accept Source #
HasOptionalParam ListChunks Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> Alt -> ClientRequest ListChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> Alt -> ClientRequest ListChunks contentType res accept Source #
HasOptionalParam ListCorpora Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> Alt -> ClientRequest ListCorpora contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> Alt -> ClientRequest ListCorpora contentType res accept Source #
HasOptionalParam ListDocuments Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> Alt -> ClientRequest ListDocuments contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> Alt -> ClientRequest ListDocuments contentType res accept Source #
HasOptionalParam ListFiles Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> Alt -> ClientRequest ListFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> Alt -> ClientRequest ListFiles contentType res accept Source #
HasOptionalParam ListGeneratedFiles Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> Alt -> ClientRequest ListGeneratedFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> Alt -> ClientRequest ListGeneratedFiles contentType res accept Source #
HasOptionalParam ListModels Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> Alt -> ClientRequest ListModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> Alt -> ClientRequest ListModels contentType res accept Source #
HasOptionalParam ListOperations Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Alt -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Alt -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Alt -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Alt -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Alt -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Alt -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListPermissions Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> Alt -> ClientRequest ListPermissions contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> Alt -> ClientRequest ListPermissions contentType res accept Source #
HasOptionalParam ListPermissionsByCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> Alt -> ClientRequest ListPermissionsByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> Alt -> ClientRequest ListPermissionsByCorpus contentType res accept Source #
HasOptionalParam ListTunedModels Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Alt -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Alt -> ClientRequest ListTunedModels contentType res accept Source #
HasOptionalParam Predict Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> Alt -> ClientRequest Predict contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> Alt -> ClientRequest Predict contentType res accept Source #
HasOptionalParam PredictLongRunning Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> Alt -> ClientRequest PredictLongRunning contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> Alt -> ClientRequest PredictLongRunning contentType res accept Source #
HasOptionalParam QueryCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> Alt -> ClientRequest QueryCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> Alt -> ClientRequest QueryCorpus contentType res accept Source #
HasOptionalParam QueryDocument Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> Alt -> ClientRequest QueryDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> Alt -> ClientRequest QueryDocument contentType res accept Source #
HasOptionalParam StreamGenerateContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> Alt -> ClientRequest StreamGenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> Alt -> ClientRequest StreamGenerateContent contentType res accept Source #
HasOptionalParam StreamGenerateContentByDynamicId Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> Alt -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> Alt -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source #
HasOptionalParam StreamGenerateContentByTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> Alt -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> Alt -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source #
HasOptionalParam TransferOwnership Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> Alt -> ClientRequest TransferOwnership contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> Alt -> ClientRequest TransferOwnership contentType res accept Source #
HasOptionalParam UpdateCachedContent Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> Alt -> ClientRequest UpdateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> Alt -> ClientRequest UpdateCachedContent contentType res accept Source #
HasOptionalParam UpdateChunk Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> Alt -> ClientRequest UpdateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> Alt -> ClientRequest UpdateChunk contentType res accept Source #
HasOptionalParam UpdateCorpus Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> Alt -> ClientRequest UpdateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> Alt -> ClientRequest UpdateCorpus contentType res accept Source #
HasOptionalParam UpdateDocument Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> Alt -> ClientRequest UpdateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> Alt -> ClientRequest UpdateDocument contentType res accept Source #
HasOptionalParam UpdatePermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> Alt -> ClientRequest UpdatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> Alt -> ClientRequest UpdatePermission contentType res accept Source #
HasOptionalParam UpdatePermissionByCorpusAndPermission Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Alt -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Alt -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam UpdateTunedModel Alt Source #	Optional Param "$alt" - Data format for response.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> Alt -> ClientRequest UpdateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> Alt -> ClientRequest UpdateTunedModel contentType res accept Source #

Callback

newtype Callback Source #

Constructors

Callback
Fields unCallback :: Text

Instances

Instances details

Show Callback Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Callback -> ShowS # show :: Callback -> String # showList :: [Callback] -> ShowS #
Eq Callback Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Callback -> Callback -> Bool # (/=) :: Callback -> Callback -> Bool #
HasOptionalParam BatchCreateChunks Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> Callback -> ClientRequest BatchCreateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> Callback -> ClientRequest BatchCreateChunks contentType res accept Source #
HasOptionalParam BatchDeleteChunks Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> Callback -> ClientRequest BatchDeleteChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> Callback -> ClientRequest BatchDeleteChunks contentType res accept Source #
HasOptionalParam BatchEmbedContents Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> Callback -> ClientRequest BatchEmbedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> Callback -> ClientRequest BatchEmbedContents contentType res accept Source #
HasOptionalParam BatchEmbedText Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> Callback -> ClientRequest BatchEmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> Callback -> ClientRequest BatchEmbedText contentType res accept Source #
HasOptionalParam BatchUpdateChunks Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> Callback -> ClientRequest BatchUpdateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> Callback -> ClientRequest BatchUpdateChunks contentType res accept Source #
HasOptionalParam CancelOperation Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> Callback -> ClientRequest CancelOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> Callback -> ClientRequest CancelOperation contentType res accept Source #
HasOptionalParam CountMessageTokens Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> Callback -> ClientRequest CountMessageTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> Callback -> ClientRequest CountMessageTokens contentType res accept Source #
HasOptionalParam CountTextTokens Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> Callback -> ClientRequest CountTextTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> Callback -> ClientRequest CountTextTokens contentType res accept Source #
HasOptionalParam CountTokens Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> Callback -> ClientRequest CountTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> Callback -> ClientRequest CountTokens contentType res accept Source #
HasOptionalParam CreateCachedContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> Callback -> ClientRequest CreateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> Callback -> ClientRequest CreateCachedContent contentType res accept Source #
HasOptionalParam CreateChunk Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> Callback -> ClientRequest CreateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> Callback -> ClientRequest CreateChunk contentType res accept Source #
HasOptionalParam CreateCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> Callback -> ClientRequest CreateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> Callback -> ClientRequest CreateCorpus contentType res accept Source #
HasOptionalParam CreateDocument Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> Callback -> ClientRequest CreateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> Callback -> ClientRequest CreateDocument contentType res accept Source #
HasOptionalParam CreateFile Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> Callback -> ClientRequest CreateFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> Callback -> ClientRequest CreateFile contentType res accept Source #
HasOptionalParam CreatePermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> Callback -> ClientRequest CreatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> Callback -> ClientRequest CreatePermission contentType res accept Source #
HasOptionalParam CreatePermissionByCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> Callback -> ClientRequest CreatePermissionByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> Callback -> ClientRequest CreatePermissionByCorpus contentType res accept Source #
HasOptionalParam CreateTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> Callback -> ClientRequest CreateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> Callback -> ClientRequest CreateTunedModel contentType res accept Source #
HasOptionalParam DeleteCachedContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> Callback -> ClientRequest DeleteCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> Callback -> ClientRequest DeleteCachedContent contentType res accept Source #
HasOptionalParam DeleteChunk Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> Callback -> ClientRequest DeleteChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> Callback -> ClientRequest DeleteChunk contentType res accept Source #
HasOptionalParam DeleteCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Callback -> ClientRequest DeleteCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Callback -> ClientRequest DeleteCorpus contentType res accept Source #
HasOptionalParam DeleteDocument Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Callback -> ClientRequest DeleteDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Callback -> ClientRequest DeleteDocument contentType res accept Source #
HasOptionalParam DeleteFile Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> Callback -> ClientRequest DeleteFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> Callback -> ClientRequest DeleteFile contentType res accept Source #
HasOptionalParam DeletePermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> Callback -> ClientRequest DeletePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> Callback -> ClientRequest DeletePermission contentType res accept Source #
HasOptionalParam DeletePermissionByCorpusAndPermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> Callback -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> Callback -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam DeleteTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> Callback -> ClientRequest DeleteTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> Callback -> ClientRequest DeleteTunedModel contentType res accept Source #
HasOptionalParam DownloadFile Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> Callback -> ClientRequest DownloadFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> Callback -> ClientRequest DownloadFile contentType res accept Source #
HasOptionalParam EmbedContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> Callback -> ClientRequest EmbedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> Callback -> ClientRequest EmbedContent contentType res accept Source #
HasOptionalParam EmbedText Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> Callback -> ClientRequest EmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> Callback -> ClientRequest EmbedText contentType res accept Source #
HasOptionalParam GenerateAnswer Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> Callback -> ClientRequest GenerateAnswer contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> Callback -> ClientRequest GenerateAnswer contentType res accept Source #
HasOptionalParam GenerateContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> Callback -> ClientRequest GenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> Callback -> ClientRequest GenerateContent contentType res accept Source #
HasOptionalParam GenerateContentByDynamicId Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> Callback -> ClientRequest GenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> Callback -> ClientRequest GenerateContentByDynamicId contentType res accept Source #
HasOptionalParam GenerateContentByTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> Callback -> ClientRequest GenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> Callback -> ClientRequest GenerateContentByTunedModel contentType res accept Source #
HasOptionalParam GenerateMessage Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> Callback -> ClientRequest GenerateMessage contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> Callback -> ClientRequest GenerateMessage contentType res accept Source #
HasOptionalParam GenerateText Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> Callback -> ClientRequest GenerateText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> Callback -> ClientRequest GenerateText contentType res accept Source #
HasOptionalParam GenerateTextByTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> Callback -> ClientRequest GenerateTextByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> Callback -> ClientRequest GenerateTextByTunedModel contentType res accept Source #
HasOptionalParam GetCachedContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> Callback -> ClientRequest GetCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> Callback -> ClientRequest GetCachedContent contentType res accept Source #
HasOptionalParam GetChunk Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> Callback -> ClientRequest GetChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> Callback -> ClientRequest GetChunk contentType res accept Source #
HasOptionalParam GetCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> Callback -> ClientRequest GetCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> Callback -> ClientRequest GetCorpus contentType res accept Source #
HasOptionalParam GetDocument Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> Callback -> ClientRequest GetDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> Callback -> ClientRequest GetDocument contentType res accept Source #
HasOptionalParam GetFile Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> Callback -> ClientRequest GetFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> Callback -> ClientRequest GetFile contentType res accept Source #
HasOptionalParam GetGeneratedFile Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> Callback -> ClientRequest GetGeneratedFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> Callback -> ClientRequest GetGeneratedFile contentType res accept Source #
HasOptionalParam GetModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> Callback -> ClientRequest GetModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> Callback -> ClientRequest GetModel contentType res accept Source #
HasOptionalParam GetOperation Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> Callback -> ClientRequest GetOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> Callback -> ClientRequest GetOperation contentType res accept Source #
HasOptionalParam GetOperationByGenerateContentBatch Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> Callback -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> Callback -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source #
HasOptionalParam GetOperationByGeneratedFileAndOperation Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> Callback -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> Callback -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source #
HasOptionalParam GetOperationByModelAndOperation Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> Callback -> ClientRequest GetOperationByModelAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> Callback -> ClientRequest GetOperationByModelAndOperation contentType res accept Source #
HasOptionalParam GetPermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> Callback -> ClientRequest GetPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> Callback -> ClientRequest GetPermission contentType res accept Source #
HasOptionalParam GetPermissionByCorpusAndPermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> Callback -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> Callback -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam GetTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> Callback -> ClientRequest GetTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> Callback -> ClientRequest GetTunedModel contentType res accept Source #
HasOptionalParam ListCachedContents Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> Callback -> ClientRequest ListCachedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> Callback -> ClientRequest ListCachedContents contentType res accept Source #
HasOptionalParam ListChunks Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> Callback -> ClientRequest ListChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> Callback -> ClientRequest ListChunks contentType res accept Source #
HasOptionalParam ListCorpora Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> Callback -> ClientRequest ListCorpora contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> Callback -> ClientRequest ListCorpora contentType res accept Source #
HasOptionalParam ListDocuments Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> Callback -> ClientRequest ListDocuments contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> Callback -> ClientRequest ListDocuments contentType res accept Source #
HasOptionalParam ListFiles Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> Callback -> ClientRequest ListFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> Callback -> ClientRequest ListFiles contentType res accept Source #
HasOptionalParam ListGeneratedFiles Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> Callback -> ClientRequest ListGeneratedFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> Callback -> ClientRequest ListGeneratedFiles contentType res accept Source #
HasOptionalParam ListModels Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> Callback -> ClientRequest ListModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> Callback -> ClientRequest ListModels contentType res accept Source #
HasOptionalParam ListOperations Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Callback -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Callback -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Callback -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Callback -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Callback -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Callback -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListPermissions Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> Callback -> ClientRequest ListPermissions contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> Callback -> ClientRequest ListPermissions contentType res accept Source #
HasOptionalParam ListPermissionsByCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> Callback -> ClientRequest ListPermissionsByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> Callback -> ClientRequest ListPermissionsByCorpus contentType res accept Source #
HasOptionalParam ListTunedModels Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Callback -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Callback -> ClientRequest ListTunedModels contentType res accept Source #
HasOptionalParam Predict Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> Callback -> ClientRequest Predict contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> Callback -> ClientRequest Predict contentType res accept Source #
HasOptionalParam PredictLongRunning Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> Callback -> ClientRequest PredictLongRunning contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> Callback -> ClientRequest PredictLongRunning contentType res accept Source #
HasOptionalParam QueryCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> Callback -> ClientRequest QueryCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> Callback -> ClientRequest QueryCorpus contentType res accept Source #
HasOptionalParam QueryDocument Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> Callback -> ClientRequest QueryDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> Callback -> ClientRequest QueryDocument contentType res accept Source #
HasOptionalParam StreamGenerateContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> Callback -> ClientRequest StreamGenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> Callback -> ClientRequest StreamGenerateContent contentType res accept Source #
HasOptionalParam StreamGenerateContentByDynamicId Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> Callback -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> Callback -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source #
HasOptionalParam StreamGenerateContentByTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> Callback -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> Callback -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source #
HasOptionalParam TransferOwnership Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> Callback -> ClientRequest TransferOwnership contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> Callback -> ClientRequest TransferOwnership contentType res accept Source #
HasOptionalParam UpdateCachedContent Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> Callback -> ClientRequest UpdateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> Callback -> ClientRequest UpdateCachedContent contentType res accept Source #
HasOptionalParam UpdateChunk Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> Callback -> ClientRequest UpdateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> Callback -> ClientRequest UpdateChunk contentType res accept Source #
HasOptionalParam UpdateCorpus Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> Callback -> ClientRequest UpdateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> Callback -> ClientRequest UpdateCorpus contentType res accept Source #
HasOptionalParam UpdateDocument Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> Callback -> ClientRequest UpdateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> Callback -> ClientRequest UpdateDocument contentType res accept Source #
HasOptionalParam UpdatePermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> Callback -> ClientRequest UpdatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> Callback -> ClientRequest UpdatePermission contentType res accept Source #
HasOptionalParam UpdatePermissionByCorpusAndPermission Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Callback -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Callback -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam UpdateTunedModel Callback Source #	Optional Param "$callback" - JSONP
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> Callback -> ClientRequest UpdateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> Callback -> ClientRequest UpdateTunedModel contentType res accept Source #

Chunk2

newtype Chunk2 Source #

Constructors

Chunk2
Fields unChunk2 :: Text

Instances

Instances details

Show Chunk2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Chunk2 -> ShowS # show :: Chunk2 -> String # showList :: [Chunk2] -> ShowS #
Eq Chunk2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Chunk2 -> Chunk2 -> Bool # (/=) :: Chunk2 -> Chunk2 -> Bool #

Corpus2

newtype Corpus2 Source #

Constructors

Corpus2
Fields unCorpus2 :: Text

Instances

Instances details

Show Corpus2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Corpus2 -> ShowS # show :: Corpus2 -> String # showList :: [Corpus2] -> ShowS #
Eq Corpus2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Corpus2 -> Corpus2 -> Bool # (/=) :: Corpus2 -> Corpus2 -> Bool #

Document2

newtype Document2 Source #

Constructors

Document2
Fields unDocument2 :: Text

Instances

Instances details

Show Document2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Document2 -> ShowS # show :: Document2 -> String # showList :: [Document2] -> ShowS #
Eq Document2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Document2 -> Document2 -> Bool # (/=) :: Document2 -> Document2 -> Bool #

DynamicId

newtype DynamicId Source #

Constructors

DynamicId
Fields unDynamicId :: Text

Instances

Instances details

Show DynamicId Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> DynamicId -> ShowS # show :: DynamicId -> String # showList :: [DynamicId] -> ShowS #
Eq DynamicId Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: DynamicId -> DynamicId -> Bool # (/=) :: DynamicId -> DynamicId -> Bool #

File2

newtype File2 Source #

Constructors

File2
Fields unFile2 :: Text

Instances

Instances details

Show File2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> File2 -> ShowS # show :: File2 -> String # showList :: [File2] -> ShowS #
Eq File2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: File2 -> File2 -> Bool # (/=) :: File2 -> File2 -> Bool #

Filter

newtype Filter Source #

Constructors

Filter
Fields unFilter :: Text

Instances

Instances details

Show Filter Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Filter -> ShowS # show :: Filter -> String # showList :: [Filter] -> ShowS #
Eq Filter Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Filter -> Filter -> Bool # (/=) :: Filter -> Filter -> Bool #
HasOptionalParam ListOperations Filter Source #	Optional Param "filter" - The standard list filter.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Filter -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Filter -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy Filter Source #	Optional Param "filter" - The standard list filter.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Filter -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Filter -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel Filter Source #	Optional Param "filter" - The standard list filter.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Filter -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Filter -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListTunedModels Filter Source #	Optional Param "filter" - 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
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Filter -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Filter -> ClientRequest ListTunedModels contentType res accept Source #

Force

newtype Force Source #

Constructors

Force
Fields unForce :: Bool

Instances

Instances details

Show Force Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Force -> ShowS # show :: Force -> String # showList :: [Force] -> ShowS #
Eq Force Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Force -> Force -> Bool # (/=) :: Force -> Force -> Bool #
HasOptionalParam DeleteCorpus Force Source #	Optional Param "force" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Force -> ClientRequest DeleteCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Force -> ClientRequest DeleteCorpus contentType res accept Source #
HasOptionalParam DeleteDocument Force Source #	Optional Param "force" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Force -> ClientRequest DeleteDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Force -> ClientRequest DeleteDocument contentType res accept Source #

GenerateContentBatch

newtype GenerateContentBatch Source #

Constructors

GenerateContentBatch
Fields unGenerateContentBatch :: Text

Instances

Instances details

Show GenerateContentBatch Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateContentBatch -> ShowS # show :: GenerateContentBatch -> String # showList :: [GenerateContentBatch] -> ShowS #
Eq GenerateContentBatch Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateContentBatch -> GenerateContentBatch -> Bool # (/=) :: GenerateContentBatch -> GenerateContentBatch -> Bool #

GeneratedFile2

newtype GeneratedFile2 Source #

Constructors

GeneratedFile2
Fields unGeneratedFile2 :: Text

Instances

Instances details

Show GeneratedFile2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GeneratedFile2 -> ShowS # show :: GeneratedFile2 -> String # showList :: [GeneratedFile2] -> ShowS #
Eq GeneratedFile2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GeneratedFile2 -> GeneratedFile2 -> Bool # (/=) :: GeneratedFile2 -> GeneratedFile2 -> Bool #

Id

newtype Id Source #

Constructors

Id
Fields unId :: Text

Instances

Instances details

Show Id Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Id -> ShowS # show :: Id -> String # showList :: [Id] -> ShowS #
Eq Id Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Id -> Id -> Bool # (/=) :: Id -> Id -> Bool #

Model2

newtype Model2 Source #

Constructors

Model2
Fields unModel2 :: Text

Instances

Instances details

Show Model2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Model2 -> ShowS # show :: Model2 -> String # showList :: [Model2] -> ShowS #
Eq Model2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Model2 -> Model2 -> Bool # (/=) :: Model2 -> Model2 -> Bool #

Operation2

newtype Operation2 Source #

Constructors

Operation2
Fields unOperation2 :: Text

Instances

Instances details

Show Operation2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Operation2 -> ShowS # show :: Operation2 -> String # showList :: [Operation2] -> ShowS #
Eq Operation2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Operation2 -> Operation2 -> Bool # (/=) :: Operation2 -> Operation2 -> Bool #

PageSize

newtype PageSize Source #

Constructors

PageSize
Fields unPageSize :: Int

Instances

Instances details

Show PageSize Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PageSize -> ShowS # show :: PageSize -> String # showList :: [PageSize] -> ShowS #
Eq PageSize Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PageSize -> PageSize -> Bool # (/=) :: PageSize -> PageSize -> Bool #
HasOptionalParam ListCachedContents PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> PageSize -> ClientRequest ListCachedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> PageSize -> ClientRequest ListCachedContents contentType res accept Source #
HasOptionalParam ListChunks PageSize Source #	Optional Param "pageSize" - Optional. The maximum number of `Chunk`s to return (per page). The service may return fewer `Chunk`s. If unspecified, at most 10 `Chunk`s will be returned. The maximum size limit is 100 `Chunk`s per page.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> PageSize -> ClientRequest ListChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> PageSize -> ClientRequest ListChunks contentType res accept Source #
HasOptionalParam ListCorpora PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> PageSize -> ClientRequest ListCorpora contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> PageSize -> ClientRequest ListCorpora contentType res accept Source #
HasOptionalParam ListDocuments PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> PageSize -> ClientRequest ListDocuments contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> PageSize -> ClientRequest ListDocuments contentType res accept Source #
HasOptionalParam ListFiles PageSize Source #	Optional Param "pageSize" - Optional. Maximum number of `File`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 100.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> PageSize -> ClientRequest ListFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> PageSize -> ClientRequest ListFiles contentType res accept Source #
HasOptionalParam ListGeneratedFiles PageSize Source #	Optional Param "pageSize" - Optional. Maximum number of `GeneratedFile`s to return per page. If unspecified, defaults to 10. Maximum `page_size` is 50.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> PageSize -> ClientRequest ListGeneratedFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> PageSize -> ClientRequest ListGeneratedFiles contentType res accept Source #
HasOptionalParam ListModels PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> PageSize -> ClientRequest ListModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> PageSize -> ClientRequest ListModels contentType res accept Source #
HasOptionalParam ListOperations PageSize Source #	Optional Param "pageSize" - The standard list page size.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> PageSize -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> PageSize -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy PageSize Source #	Optional Param "pageSize" - The standard list page size.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> PageSize -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> PageSize -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel PageSize Source #	Optional Param "pageSize" - The standard list page size.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> PageSize -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> PageSize -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListPermissions PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> PageSize -> ClientRequest ListPermissions contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> PageSize -> ClientRequest ListPermissions contentType res accept Source #
HasOptionalParam ListPermissionsByCorpus PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> PageSize -> ClientRequest ListPermissionsByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> PageSize -> ClientRequest ListPermissionsByCorpus contentType res accept Source #
HasOptionalParam ListTunedModels PageSize Source #	Optional Param "pageSize" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> PageSize -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> PageSize -> ClientRequest ListTunedModels contentType res accept Source #

PageToken

newtype PageToken Source #

Constructors

PageToken
Fields unPageToken :: Text

Instances

Instances details

Show PageToken Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PageToken -> ShowS # show :: PageToken -> String # showList :: [PageToken] -> ShowS #
Eq PageToken Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PageToken -> PageToken -> Bool # (/=) :: PageToken -> PageToken -> Bool #
HasOptionalParam ListCachedContents PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> PageToken -> ClientRequest ListCachedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> PageToken -> ClientRequest ListCachedContents contentType res accept Source #
HasOptionalParam ListChunks PageToken Source #	Optional Param "pageToken" - Optional. A page token, received from a previous `ListChunks` 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 `ListChunks` must match the call that provided the page token.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> PageToken -> ClientRequest ListChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> PageToken -> ClientRequest ListChunks contentType res accept Source #
HasOptionalParam ListCorpora PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> PageToken -> ClientRequest ListCorpora contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> PageToken -> ClientRequest ListCorpora contentType res accept Source #
HasOptionalParam ListDocuments PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> PageToken -> ClientRequest ListDocuments contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> PageToken -> ClientRequest ListDocuments contentType res accept Source #
HasOptionalParam ListFiles PageToken Source #	Optional Param "pageToken" - Optional. A page token from a previous `ListFiles` call.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> PageToken -> ClientRequest ListFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> PageToken -> ClientRequest ListFiles contentType res accept Source #
HasOptionalParam ListGeneratedFiles PageToken Source #	Optional Param "pageToken" - Optional. A page token from a previous `ListGeneratedFiles` call.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> PageToken -> ClientRequest ListGeneratedFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> PageToken -> ClientRequest ListGeneratedFiles contentType res accept Source #
HasOptionalParam ListModels PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> PageToken -> ClientRequest ListModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> PageToken -> ClientRequest ListModels contentType res accept Source #
HasOptionalParam ListOperations PageToken Source #	Optional Param "pageToken" - The standard list page token.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> PageToken -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> PageToken -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy PageToken Source #	Optional Param "pageToken" - The standard list page token.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> PageToken -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> PageToken -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel PageToken Source #	Optional Param "pageToken" - The standard list page token.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> PageToken -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> PageToken -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListPermissions PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> PageToken -> ClientRequest ListPermissions contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> PageToken -> ClientRequest ListPermissions contentType res accept Source #
HasOptionalParam ListPermissionsByCorpus PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> PageToken -> ClientRequest ListPermissionsByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> PageToken -> ClientRequest ListPermissionsByCorpus contentType res accept Source #
HasOptionalParam ListTunedModels PageToken Source #	Optional Param "pageToken" - 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.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> PageToken -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> PageToken -> ClientRequest ListTunedModels contentType res accept Source #

Permission2

newtype Permission2 Source #

Constructors

Permission2
Fields unPermission2 :: Text

Instances

Instances details

Show Permission2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Permission2 -> ShowS # show :: Permission2 -> String # showList :: [Permission2] -> ShowS #
Eq Permission2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Permission2 -> Permission2 -> Bool # (/=) :: Permission2 -> Permission2 -> Bool #

PrettyPrint

newtype PrettyPrint Source #

Constructors

PrettyPrint
Fields unPrettyPrint :: Bool

Instances

Instances details

Show PrettyPrint Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PrettyPrint -> ShowS # show :: PrettyPrint -> String # showList :: [PrettyPrint] -> ShowS #
Eq PrettyPrint Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PrettyPrint -> PrettyPrint -> Bool # (/=) :: PrettyPrint -> PrettyPrint -> Bool #
HasOptionalParam BatchCreateChunks PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> PrettyPrint -> ClientRequest BatchCreateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> PrettyPrint -> ClientRequest BatchCreateChunks contentType res accept Source #
HasOptionalParam BatchDeleteChunks PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> PrettyPrint -> ClientRequest BatchDeleteChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> PrettyPrint -> ClientRequest BatchDeleteChunks contentType res accept Source #
HasOptionalParam BatchEmbedContents PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> PrettyPrint -> ClientRequest BatchEmbedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> PrettyPrint -> ClientRequest BatchEmbedContents contentType res accept Source #
HasOptionalParam BatchEmbedText PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> PrettyPrint -> ClientRequest BatchEmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> PrettyPrint -> ClientRequest BatchEmbedText contentType res accept Source #
HasOptionalParam BatchUpdateChunks PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> PrettyPrint -> ClientRequest BatchUpdateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> PrettyPrint -> ClientRequest BatchUpdateChunks contentType res accept Source #
HasOptionalParam CancelOperation PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> PrettyPrint -> ClientRequest CancelOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> PrettyPrint -> ClientRequest CancelOperation contentType res accept Source #
HasOptionalParam CountMessageTokens PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> PrettyPrint -> ClientRequest CountMessageTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> PrettyPrint -> ClientRequest CountMessageTokens contentType res accept Source #
HasOptionalParam CountTextTokens PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> PrettyPrint -> ClientRequest CountTextTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> PrettyPrint -> ClientRequest CountTextTokens contentType res accept Source #
HasOptionalParam CountTokens PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> PrettyPrint -> ClientRequest CountTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> PrettyPrint -> ClientRequest CountTokens contentType res accept Source #
HasOptionalParam CreateCachedContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> PrettyPrint -> ClientRequest CreateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> PrettyPrint -> ClientRequest CreateCachedContent contentType res accept Source #
HasOptionalParam CreateChunk PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> PrettyPrint -> ClientRequest CreateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> PrettyPrint -> ClientRequest CreateChunk contentType res accept Source #
HasOptionalParam CreateCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> PrettyPrint -> ClientRequest CreateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> PrettyPrint -> ClientRequest CreateCorpus contentType res accept Source #
HasOptionalParam CreateDocument PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> PrettyPrint -> ClientRequest CreateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> PrettyPrint -> ClientRequest CreateDocument contentType res accept Source #
HasOptionalParam CreateFile PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> PrettyPrint -> ClientRequest CreateFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> PrettyPrint -> ClientRequest CreateFile contentType res accept Source #
HasOptionalParam CreatePermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> PrettyPrint -> ClientRequest CreatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> PrettyPrint -> ClientRequest CreatePermission contentType res accept Source #
HasOptionalParam CreatePermissionByCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> PrettyPrint -> ClientRequest CreatePermissionByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> PrettyPrint -> ClientRequest CreatePermissionByCorpus contentType res accept Source #
HasOptionalParam CreateTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> PrettyPrint -> ClientRequest CreateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> PrettyPrint -> ClientRequest CreateTunedModel contentType res accept Source #
HasOptionalParam DeleteCachedContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> PrettyPrint -> ClientRequest DeleteCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> PrettyPrint -> ClientRequest DeleteCachedContent contentType res accept Source #
HasOptionalParam DeleteChunk PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> PrettyPrint -> ClientRequest DeleteChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> PrettyPrint -> ClientRequest DeleteChunk contentType res accept Source #
HasOptionalParam DeleteCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> PrettyPrint -> ClientRequest DeleteCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> PrettyPrint -> ClientRequest DeleteCorpus contentType res accept Source #
HasOptionalParam DeleteDocument PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> PrettyPrint -> ClientRequest DeleteDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> PrettyPrint -> ClientRequest DeleteDocument contentType res accept Source #
HasOptionalParam DeleteFile PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> PrettyPrint -> ClientRequest DeleteFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> PrettyPrint -> ClientRequest DeleteFile contentType res accept Source #
HasOptionalParam DeletePermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> PrettyPrint -> ClientRequest DeletePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> PrettyPrint -> ClientRequest DeletePermission contentType res accept Source #
HasOptionalParam DeletePermissionByCorpusAndPermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> PrettyPrint -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> PrettyPrint -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam DeleteTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> PrettyPrint -> ClientRequest DeleteTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> PrettyPrint -> ClientRequest DeleteTunedModel contentType res accept Source #
HasOptionalParam DownloadFile PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> PrettyPrint -> ClientRequest DownloadFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> PrettyPrint -> ClientRequest DownloadFile contentType res accept Source #
HasOptionalParam EmbedContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> PrettyPrint -> ClientRequest EmbedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> PrettyPrint -> ClientRequest EmbedContent contentType res accept Source #
HasOptionalParam EmbedText PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> PrettyPrint -> ClientRequest EmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> PrettyPrint -> ClientRequest EmbedText contentType res accept Source #
HasOptionalParam GenerateAnswer PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> PrettyPrint -> ClientRequest GenerateAnswer contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> PrettyPrint -> ClientRequest GenerateAnswer contentType res accept Source #
HasOptionalParam GenerateContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> PrettyPrint -> ClientRequest GenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> PrettyPrint -> ClientRequest GenerateContent contentType res accept Source #
HasOptionalParam GenerateContentByDynamicId PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> PrettyPrint -> ClientRequest GenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> PrettyPrint -> ClientRequest GenerateContentByDynamicId contentType res accept Source #
HasOptionalParam GenerateContentByTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> PrettyPrint -> ClientRequest GenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> PrettyPrint -> ClientRequest GenerateContentByTunedModel contentType res accept Source #
HasOptionalParam GenerateMessage PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> PrettyPrint -> ClientRequest GenerateMessage contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> PrettyPrint -> ClientRequest GenerateMessage contentType res accept Source #
HasOptionalParam GenerateText PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> PrettyPrint -> ClientRequest GenerateText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> PrettyPrint -> ClientRequest GenerateText contentType res accept Source #
HasOptionalParam GenerateTextByTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> PrettyPrint -> ClientRequest GenerateTextByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> PrettyPrint -> ClientRequest GenerateTextByTunedModel contentType res accept Source #
HasOptionalParam GetCachedContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> PrettyPrint -> ClientRequest GetCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> PrettyPrint -> ClientRequest GetCachedContent contentType res accept Source #
HasOptionalParam GetChunk PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> PrettyPrint -> ClientRequest GetChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> PrettyPrint -> ClientRequest GetChunk contentType res accept Source #
HasOptionalParam GetCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> PrettyPrint -> ClientRequest GetCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> PrettyPrint -> ClientRequest GetCorpus contentType res accept Source #
HasOptionalParam GetDocument PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> PrettyPrint -> ClientRequest GetDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> PrettyPrint -> ClientRequest GetDocument contentType res accept Source #
HasOptionalParam GetFile PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> PrettyPrint -> ClientRequest GetFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> PrettyPrint -> ClientRequest GetFile contentType res accept Source #
HasOptionalParam GetGeneratedFile PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> PrettyPrint -> ClientRequest GetGeneratedFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> PrettyPrint -> ClientRequest GetGeneratedFile contentType res accept Source #
HasOptionalParam GetModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> PrettyPrint -> ClientRequest GetModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> PrettyPrint -> ClientRequest GetModel contentType res accept Source #
HasOptionalParam GetOperation PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> PrettyPrint -> ClientRequest GetOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> PrettyPrint -> ClientRequest GetOperation contentType res accept Source #
HasOptionalParam GetOperationByGenerateContentBatch PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> PrettyPrint -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> PrettyPrint -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source #
HasOptionalParam GetOperationByGeneratedFileAndOperation PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> PrettyPrint -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> PrettyPrint -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source #
HasOptionalParam GetOperationByModelAndOperation PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> PrettyPrint -> ClientRequest GetOperationByModelAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> PrettyPrint -> ClientRequest GetOperationByModelAndOperation contentType res accept Source #
HasOptionalParam GetPermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> PrettyPrint -> ClientRequest GetPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> PrettyPrint -> ClientRequest GetPermission contentType res accept Source #
HasOptionalParam GetPermissionByCorpusAndPermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> PrettyPrint -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> PrettyPrint -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam GetTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> PrettyPrint -> ClientRequest GetTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> PrettyPrint -> ClientRequest GetTunedModel contentType res accept Source #
HasOptionalParam ListCachedContents PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> PrettyPrint -> ClientRequest ListCachedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> PrettyPrint -> ClientRequest ListCachedContents contentType res accept Source #
HasOptionalParam ListChunks PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> PrettyPrint -> ClientRequest ListChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> PrettyPrint -> ClientRequest ListChunks contentType res accept Source #
HasOptionalParam ListCorpora PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> PrettyPrint -> ClientRequest ListCorpora contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> PrettyPrint -> ClientRequest ListCorpora contentType res accept Source #
HasOptionalParam ListDocuments PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> PrettyPrint -> ClientRequest ListDocuments contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> PrettyPrint -> ClientRequest ListDocuments contentType res accept Source #
HasOptionalParam ListFiles PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> PrettyPrint -> ClientRequest ListFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> PrettyPrint -> ClientRequest ListFiles contentType res accept Source #
HasOptionalParam ListGeneratedFiles PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> PrettyPrint -> ClientRequest ListGeneratedFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> PrettyPrint -> ClientRequest ListGeneratedFiles contentType res accept Source #
HasOptionalParam ListModels PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> PrettyPrint -> ClientRequest ListModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> PrettyPrint -> ClientRequest ListModels contentType res accept Source #
HasOptionalParam ListOperations PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> PrettyPrint -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> PrettyPrint -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> PrettyPrint -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> PrettyPrint -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> PrettyPrint -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> PrettyPrint -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListPermissions PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> PrettyPrint -> ClientRequest ListPermissions contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> PrettyPrint -> ClientRequest ListPermissions contentType res accept Source #
HasOptionalParam ListPermissionsByCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> PrettyPrint -> ClientRequest ListPermissionsByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> PrettyPrint -> ClientRequest ListPermissionsByCorpus contentType res accept Source #
HasOptionalParam ListTunedModels PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> PrettyPrint -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> PrettyPrint -> ClientRequest ListTunedModels contentType res accept Source #
HasOptionalParam Predict PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> PrettyPrint -> ClientRequest Predict contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> PrettyPrint -> ClientRequest Predict contentType res accept Source #
HasOptionalParam PredictLongRunning PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> PrettyPrint -> ClientRequest PredictLongRunning contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> PrettyPrint -> ClientRequest PredictLongRunning contentType res accept Source #
HasOptionalParam QueryCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> PrettyPrint -> ClientRequest QueryCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> PrettyPrint -> ClientRequest QueryCorpus contentType res accept Source #
HasOptionalParam QueryDocument PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> PrettyPrint -> ClientRequest QueryDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> PrettyPrint -> ClientRequest QueryDocument contentType res accept Source #
HasOptionalParam StreamGenerateContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> PrettyPrint -> ClientRequest StreamGenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> PrettyPrint -> ClientRequest StreamGenerateContent contentType res accept Source #
HasOptionalParam StreamGenerateContentByDynamicId PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> PrettyPrint -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> PrettyPrint -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source #
HasOptionalParam StreamGenerateContentByTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> PrettyPrint -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> PrettyPrint -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source #
HasOptionalParam TransferOwnership PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> PrettyPrint -> ClientRequest TransferOwnership contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> PrettyPrint -> ClientRequest TransferOwnership contentType res accept Source #
HasOptionalParam UpdateCachedContent PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> PrettyPrint -> ClientRequest UpdateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> PrettyPrint -> ClientRequest UpdateCachedContent contentType res accept Source #
HasOptionalParam UpdateChunk PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> PrettyPrint -> ClientRequest UpdateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> PrettyPrint -> ClientRequest UpdateChunk contentType res accept Source #
HasOptionalParam UpdateCorpus PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> PrettyPrint -> ClientRequest UpdateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> PrettyPrint -> ClientRequest UpdateCorpus contentType res accept Source #
HasOptionalParam UpdateDocument PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> PrettyPrint -> ClientRequest UpdateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> PrettyPrint -> ClientRequest UpdateDocument contentType res accept Source #
HasOptionalParam UpdatePermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> PrettyPrint -> ClientRequest UpdatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> PrettyPrint -> ClientRequest UpdatePermission contentType res accept Source #
HasOptionalParam UpdatePermissionByCorpusAndPermission PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> PrettyPrint -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> PrettyPrint -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam UpdateTunedModel PrettyPrint Source #	Optional Param "$prettyPrint" - Returns response with indentations and line breaks.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> PrettyPrint -> ClientRequest UpdateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> PrettyPrint -> ClientRequest UpdateTunedModel contentType res accept Source #

TunedModel2

newtype TunedModel2 Source #

Constructors

TunedModel2
Fields unTunedModel2 :: Text

Instances

Instances details

Show TunedModel2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TunedModel2 -> ShowS # show :: TunedModel2 -> String # showList :: [TunedModel2] -> ShowS #
Eq TunedModel2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TunedModel2 -> TunedModel2 -> Bool # (/=) :: TunedModel2 -> TunedModel2 -> Bool #

TunedModelId

newtype TunedModelId Source #

Constructors

TunedModelId
Fields unTunedModelId :: Text

Instances

Instances details

Show TunedModelId Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TunedModelId -> ShowS # show :: TunedModelId -> String # showList :: [TunedModelId] -> ShowS #
Eq TunedModelId Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TunedModelId -> TunedModelId -> Bool # (/=) :: TunedModelId -> TunedModelId -> Bool #
HasOptionalParam CreateTunedModel TunedModelId Source #	Optional Param "tunedModelId" - 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?`.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> TunedModelId -> ClientRequest CreateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> TunedModelId -> ClientRequest CreateTunedModel contentType res accept Source #

UpdateMask

newtype UpdateMask Source #

Constructors

UpdateMask
Fields unUpdateMask :: Text

Instances

Instances details

Show UpdateMask Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> UpdateMask -> ShowS # show :: UpdateMask -> String # showList :: [UpdateMask] -> ShowS #
Eq UpdateMask Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: UpdateMask -> UpdateMask -> Bool # (/=) :: UpdateMask -> UpdateMask -> Bool #
HasOptionalParam UpdateCachedContent UpdateMask Source #	Optional Param "updateMask" - The list of fields to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> UpdateMask -> ClientRequest UpdateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> UpdateMask -> ClientRequest UpdateCachedContent contentType res accept Source #
HasOptionalParam UpdateTunedModel UpdateMask Source #	Optional Param "updateMask" - Optional. The list of fields to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> UpdateMask -> ClientRequest UpdateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> UpdateMask -> ClientRequest UpdateTunedModel contentType res accept Source #

Xgafv

newtype Xgafv Source #

Constructors

Xgafv
Fields unXgafv :: E'Xgafv

Instances

Instances details

Show Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Xgafv -> ShowS # show :: Xgafv -> String # showList :: [Xgafv] -> ShowS #
Eq Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Xgafv -> Xgafv -> Bool # (/=) :: Xgafv -> Xgafv -> Bool #
HasOptionalParam BatchCreateChunks Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> Xgafv -> ClientRequest BatchCreateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchCreateChunks contentType res accept -> Xgafv -> ClientRequest BatchCreateChunks contentType res accept Source #
HasOptionalParam BatchDeleteChunks Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> Xgafv -> ClientRequest BatchDeleteChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchDeleteChunks contentType res accept -> Xgafv -> ClientRequest BatchDeleteChunks contentType res accept Source #
HasOptionalParam BatchEmbedContents Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> Xgafv -> ClientRequest BatchEmbedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedContents contentType res accept -> Xgafv -> ClientRequest BatchEmbedContents contentType res accept Source #
HasOptionalParam BatchEmbedText Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> Xgafv -> ClientRequest BatchEmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchEmbedText contentType res accept -> Xgafv -> ClientRequest BatchEmbedText contentType res accept Source #
HasOptionalParam BatchUpdateChunks Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> Xgafv -> ClientRequest BatchUpdateChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest BatchUpdateChunks contentType res accept -> Xgafv -> ClientRequest BatchUpdateChunks contentType res accept Source #
HasOptionalParam CancelOperation Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> Xgafv -> ClientRequest CancelOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CancelOperation contentType res accept -> Xgafv -> ClientRequest CancelOperation contentType res accept Source #
HasOptionalParam CountMessageTokens Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> Xgafv -> ClientRequest CountMessageTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountMessageTokens contentType res accept -> Xgafv -> ClientRequest CountMessageTokens contentType res accept Source #
HasOptionalParam CountTextTokens Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> Xgafv -> ClientRequest CountTextTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTextTokens contentType res accept -> Xgafv -> ClientRequest CountTextTokens contentType res accept Source #
HasOptionalParam CountTokens Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> Xgafv -> ClientRequest CountTokens contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CountTokens contentType res accept -> Xgafv -> ClientRequest CountTokens contentType res accept Source #
HasOptionalParam CreateCachedContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> Xgafv -> ClientRequest CreateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCachedContent contentType res accept -> Xgafv -> ClientRequest CreateCachedContent contentType res accept Source #
HasOptionalParam CreateChunk Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> Xgafv -> ClientRequest CreateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateChunk contentType res accept -> Xgafv -> ClientRequest CreateChunk contentType res accept Source #
HasOptionalParam CreateCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> Xgafv -> ClientRequest CreateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateCorpus contentType res accept -> Xgafv -> ClientRequest CreateCorpus contentType res accept Source #
HasOptionalParam CreateDocument Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> Xgafv -> ClientRequest CreateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateDocument contentType res accept -> Xgafv -> ClientRequest CreateDocument contentType res accept Source #
HasOptionalParam CreateFile Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> Xgafv -> ClientRequest CreateFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateFile contentType res accept -> Xgafv -> ClientRequest CreateFile contentType res accept Source #
HasOptionalParam CreatePermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> Xgafv -> ClientRequest CreatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermission contentType res accept -> Xgafv -> ClientRequest CreatePermission contentType res accept Source #
HasOptionalParam CreatePermissionByCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> Xgafv -> ClientRequest CreatePermissionByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreatePermissionByCorpus contentType res accept -> Xgafv -> ClientRequest CreatePermissionByCorpus contentType res accept Source #
HasOptionalParam CreateTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> Xgafv -> ClientRequest CreateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest CreateTunedModel contentType res accept -> Xgafv -> ClientRequest CreateTunedModel contentType res accept Source #
HasOptionalParam DeleteCachedContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> Xgafv -> ClientRequest DeleteCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCachedContent contentType res accept -> Xgafv -> ClientRequest DeleteCachedContent contentType res accept Source #
HasOptionalParam DeleteChunk Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> Xgafv -> ClientRequest DeleteChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteChunk contentType res accept -> Xgafv -> ClientRequest DeleteChunk contentType res accept Source #
HasOptionalParam DeleteCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Xgafv -> ClientRequest DeleteCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteCorpus contentType res accept -> Xgafv -> ClientRequest DeleteCorpus contentType res accept Source #
HasOptionalParam DeleteDocument Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Xgafv -> ClientRequest DeleteDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteDocument contentType res accept -> Xgafv -> ClientRequest DeleteDocument contentType res accept Source #
HasOptionalParam DeleteFile Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> Xgafv -> ClientRequest DeleteFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteFile contentType res accept -> Xgafv -> ClientRequest DeleteFile contentType res accept Source #
HasOptionalParam DeletePermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> Xgafv -> ClientRequest DeletePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermission contentType res accept -> Xgafv -> ClientRequest DeletePermission contentType res accept Source #
HasOptionalParam DeletePermissionByCorpusAndPermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> Xgafv -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeletePermissionByCorpusAndPermission contentType res accept -> Xgafv -> ClientRequest DeletePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam DeleteTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> Xgafv -> ClientRequest DeleteTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DeleteTunedModel contentType res accept -> Xgafv -> ClientRequest DeleteTunedModel contentType res accept Source #
HasOptionalParam DownloadFile Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> Xgafv -> ClientRequest DownloadFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest DownloadFile contentType res accept -> Xgafv -> ClientRequest DownloadFile contentType res accept Source #
HasOptionalParam EmbedContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> Xgafv -> ClientRequest EmbedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedContent contentType res accept -> Xgafv -> ClientRequest EmbedContent contentType res accept Source #
HasOptionalParam EmbedText Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> Xgafv -> ClientRequest EmbedText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest EmbedText contentType res accept -> Xgafv -> ClientRequest EmbedText contentType res accept Source #
HasOptionalParam GenerateAnswer Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> Xgafv -> ClientRequest GenerateAnswer contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateAnswer contentType res accept -> Xgafv -> ClientRequest GenerateAnswer contentType res accept Source #
HasOptionalParam GenerateContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> Xgafv -> ClientRequest GenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContent contentType res accept -> Xgafv -> ClientRequest GenerateContent contentType res accept Source #
HasOptionalParam GenerateContentByDynamicId Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> Xgafv -> ClientRequest GenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByDynamicId contentType res accept -> Xgafv -> ClientRequest GenerateContentByDynamicId contentType res accept Source #
HasOptionalParam GenerateContentByTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> Xgafv -> ClientRequest GenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateContentByTunedModel contentType res accept -> Xgafv -> ClientRequest GenerateContentByTunedModel contentType res accept Source #
HasOptionalParam GenerateMessage Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> Xgafv -> ClientRequest GenerateMessage contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateMessage contentType res accept -> Xgafv -> ClientRequest GenerateMessage contentType res accept Source #
HasOptionalParam GenerateText Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> Xgafv -> ClientRequest GenerateText contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateText contentType res accept -> Xgafv -> ClientRequest GenerateText contentType res accept Source #
HasOptionalParam GenerateTextByTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> Xgafv -> ClientRequest GenerateTextByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GenerateTextByTunedModel contentType res accept -> Xgafv -> ClientRequest GenerateTextByTunedModel contentType res accept Source #
HasOptionalParam GetCachedContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> Xgafv -> ClientRequest GetCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCachedContent contentType res accept -> Xgafv -> ClientRequest GetCachedContent contentType res accept Source #
HasOptionalParam GetChunk Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> Xgafv -> ClientRequest GetChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetChunk contentType res accept -> Xgafv -> ClientRequest GetChunk contentType res accept Source #
HasOptionalParam GetCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> Xgafv -> ClientRequest GetCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetCorpus contentType res accept -> Xgafv -> ClientRequest GetCorpus contentType res accept Source #
HasOptionalParam GetDocument Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> Xgafv -> ClientRequest GetDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetDocument contentType res accept -> Xgafv -> ClientRequest GetDocument contentType res accept Source #
HasOptionalParam GetFile Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> Xgafv -> ClientRequest GetFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetFile contentType res accept -> Xgafv -> ClientRequest GetFile contentType res accept Source #
HasOptionalParam GetGeneratedFile Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> Xgafv -> ClientRequest GetGeneratedFile contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetGeneratedFile contentType res accept -> Xgafv -> ClientRequest GetGeneratedFile contentType res accept Source #
HasOptionalParam GetModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> Xgafv -> ClientRequest GetModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetModel contentType res accept -> Xgafv -> ClientRequest GetModel contentType res accept Source #
HasOptionalParam GetOperation Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> Xgafv -> ClientRequest GetOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperation contentType res accept -> Xgafv -> ClientRequest GetOperation contentType res accept Source #
HasOptionalParam GetOperationByGenerateContentBatch Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> Xgafv -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGenerateContentBatch contentType res accept -> Xgafv -> ClientRequest GetOperationByGenerateContentBatch contentType res accept Source #
HasOptionalParam GetOperationByGeneratedFileAndOperation Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> Xgafv -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept -> Xgafv -> ClientRequest GetOperationByGeneratedFileAndOperation contentType res accept Source #
HasOptionalParam GetOperationByModelAndOperation Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> Xgafv -> ClientRequest GetOperationByModelAndOperation contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetOperationByModelAndOperation contentType res accept -> Xgafv -> ClientRequest GetOperationByModelAndOperation contentType res accept Source #
HasOptionalParam GetPermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> Xgafv -> ClientRequest GetPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermission contentType res accept -> Xgafv -> ClientRequest GetPermission contentType res accept Source #
HasOptionalParam GetPermissionByCorpusAndPermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> Xgafv -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetPermissionByCorpusAndPermission contentType res accept -> Xgafv -> ClientRequest GetPermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam GetTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> Xgafv -> ClientRequest GetTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest GetTunedModel contentType res accept -> Xgafv -> ClientRequest GetTunedModel contentType res accept Source #
HasOptionalParam ListCachedContents Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> Xgafv -> ClientRequest ListCachedContents contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCachedContents contentType res accept -> Xgafv -> ClientRequest ListCachedContents contentType res accept Source #
HasOptionalParam ListChunks Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> Xgafv -> ClientRequest ListChunks contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListChunks contentType res accept -> Xgafv -> ClientRequest ListChunks contentType res accept Source #
HasOptionalParam ListCorpora Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> Xgafv -> ClientRequest ListCorpora contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListCorpora contentType res accept -> Xgafv -> ClientRequest ListCorpora contentType res accept Source #
HasOptionalParam ListDocuments Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> Xgafv -> ClientRequest ListDocuments contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListDocuments contentType res accept -> Xgafv -> ClientRequest ListDocuments contentType res accept Source #
HasOptionalParam ListFiles Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> Xgafv -> ClientRequest ListFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListFiles contentType res accept -> Xgafv -> ClientRequest ListFiles contentType res accept Source #
HasOptionalParam ListGeneratedFiles Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> Xgafv -> ClientRequest ListGeneratedFiles contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListGeneratedFiles contentType res accept -> Xgafv -> ClientRequest ListGeneratedFiles contentType res accept Source #
HasOptionalParam ListModels Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> Xgafv -> ClientRequest ListModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListModels contentType res accept -> Xgafv -> ClientRequest ListModels contentType res accept Source #
HasOptionalParam ListOperations Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Xgafv -> ClientRequest ListOperations contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperations contentType res accept -> Xgafv -> ClientRequest ListOperations contentType res accept Source #
HasOptionalParam ListOperationsBy Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Xgafv -> ClientRequest ListOperationsBy contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsBy contentType res accept -> Xgafv -> ClientRequest ListOperationsBy contentType res accept Source #
HasOptionalParam ListOperationsByModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Xgafv -> ClientRequest ListOperationsByModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListOperationsByModel contentType res accept -> Xgafv -> ClientRequest ListOperationsByModel contentType res accept Source #
HasOptionalParam ListPermissions Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> Xgafv -> ClientRequest ListPermissions contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissions contentType res accept -> Xgafv -> ClientRequest ListPermissions contentType res accept Source #
HasOptionalParam ListPermissionsByCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> Xgafv -> ClientRequest ListPermissionsByCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListPermissionsByCorpus contentType res accept -> Xgafv -> ClientRequest ListPermissionsByCorpus contentType res accept Source #
HasOptionalParam ListTunedModels Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Xgafv -> ClientRequest ListTunedModels contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest ListTunedModels contentType res accept -> Xgafv -> ClientRequest ListTunedModels contentType res accept Source #
HasOptionalParam Predict Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> Xgafv -> ClientRequest Predict contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest Predict contentType res accept -> Xgafv -> ClientRequest Predict contentType res accept Source #
HasOptionalParam PredictLongRunning Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> Xgafv -> ClientRequest PredictLongRunning contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest PredictLongRunning contentType res accept -> Xgafv -> ClientRequest PredictLongRunning contentType res accept Source #
HasOptionalParam QueryCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> Xgafv -> ClientRequest QueryCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryCorpus contentType res accept -> Xgafv -> ClientRequest QueryCorpus contentType res accept Source #
HasOptionalParam QueryDocument Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> Xgafv -> ClientRequest QueryDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest QueryDocument contentType res accept -> Xgafv -> ClientRequest QueryDocument contentType res accept Source #
HasOptionalParam StreamGenerateContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> Xgafv -> ClientRequest StreamGenerateContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContent contentType res accept -> Xgafv -> ClientRequest StreamGenerateContent contentType res accept Source #
HasOptionalParam StreamGenerateContentByDynamicId Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> Xgafv -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByDynamicId contentType res accept -> Xgafv -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source #
HasOptionalParam StreamGenerateContentByTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> Xgafv -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest StreamGenerateContentByTunedModel contentType res accept -> Xgafv -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source #
HasOptionalParam TransferOwnership Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> Xgafv -> ClientRequest TransferOwnership contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest TransferOwnership contentType res accept -> Xgafv -> ClientRequest TransferOwnership contentType res accept Source #
HasOptionalParam UpdateCachedContent Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> Xgafv -> ClientRequest UpdateCachedContent contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCachedContent contentType res accept -> Xgafv -> ClientRequest UpdateCachedContent contentType res accept Source #
HasOptionalParam UpdateChunk Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> Xgafv -> ClientRequest UpdateChunk contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateChunk contentType res accept -> Xgafv -> ClientRequest UpdateChunk contentType res accept Source #
HasOptionalParam UpdateCorpus Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> Xgafv -> ClientRequest UpdateCorpus contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateCorpus contentType res accept -> Xgafv -> ClientRequest UpdateCorpus contentType res accept Source #
HasOptionalParam UpdateDocument Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> Xgafv -> ClientRequest UpdateDocument contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateDocument contentType res accept -> Xgafv -> ClientRequest UpdateDocument contentType res accept Source #
HasOptionalParam UpdatePermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> Xgafv -> ClientRequest UpdatePermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermission contentType res accept -> Xgafv -> ClientRequest UpdatePermission contentType res accept Source #
HasOptionalParam UpdatePermissionByCorpusAndPermission Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Xgafv -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Xgafv -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source #
HasOptionalParam UpdateTunedModel Xgafv Source #	Optional Param "$.xgafv" - V1 error format.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods applyOptionalParam :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> Xgafv -> ClientRequest UpdateTunedModel contentType res accept Source # (-&-) :: forall {k1} {k2} {k3} (contentType :: k1) (res :: k2) (accept :: k3). ClientRequest UpdateTunedModel contentType res accept -> Xgafv -> ClientRequest UpdateTunedModel contentType res accept Source #

Models

AttributionSourceId

data AttributionSourceId Source #

AttributionSourceId Identifier for the source contributing to this attribution.

Constructors

AttributionSourceId
Fields attributionSourceIdGroundingPassage :: !(Maybe GroundingPassageId) "groundingPassage" - Identifier for an inline passage. attributionSourceIdSemanticRetrieverChunk :: !(Maybe SemanticRetrieverChunk) "semanticRetrieverChunk" - Identifier for a `Chunk` fetched via Semantic Retriever.

Instances

Instances details

FromJSON AttributionSourceId Source #	FromJSON AttributionSourceId
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser AttributionSourceId # parseJSONList :: Value -> Parser [AttributionSourceId] # omittedField :: Maybe AttributionSourceId #
ToJSON AttributionSourceId Source #	ToJSON AttributionSourceId
Instance details Defined in GenAI.Client.Model Methods toJSON :: AttributionSourceId -> Value # toEncoding :: AttributionSourceId -> Encoding # toJSONList :: [AttributionSourceId] -> Value # toEncodingList :: [AttributionSourceId] -> Encoding # omitField :: AttributionSourceId -> Bool #
Show AttributionSourceId Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> AttributionSourceId -> ShowS # show :: AttributionSourceId -> String # showList :: [AttributionSourceId] -> ShowS #
Eq AttributionSourceId Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: AttributionSourceId -> AttributionSourceId -> Bool # (/=) :: AttributionSourceId -> AttributionSourceId -> Bool #

mkAttributionSourceId :: AttributionSourceId Source #

Construct a value of type AttributionSourceId (by applying it's required fields, if any)

BaseOperation

data BaseOperation Source #

BaseOperation This resource represents a long-running operation that is the result of a network API call.

Constructors

BaseOperation

Fields

baseOperationDone :: !(Maybe Bool)
"done" - 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.
baseOperationName :: !(Maybe Text)
"name" - 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}`.
baseOperationError :: !(Maybe Status)
"error" - The error result of the operation in case of failure or cancellation.

Instances

Instances details

FromJSON BaseOperation Source #	FromJSON BaseOperation
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BaseOperation # parseJSONList :: Value -> Parser [BaseOperation] # omittedField :: Maybe BaseOperation #
ToJSON BaseOperation Source #	ToJSON BaseOperation
Instance details Defined in GenAI.Client.Model Methods toJSON :: BaseOperation -> Value # toEncoding :: BaseOperation -> Encoding # toJSONList :: [BaseOperation] -> Value # toEncodingList :: [BaseOperation] -> Encoding # omitField :: BaseOperation -> Bool #
Show BaseOperation Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BaseOperation -> ShowS # show :: BaseOperation -> String # showList :: [BaseOperation] -> ShowS #
Eq BaseOperation Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BaseOperation -> BaseOperation -> Bool # (/=) :: BaseOperation -> BaseOperation -> Bool #

mkBaseOperation :: BaseOperation Source #

Construct a value of type BaseOperation (by applying it's required fields, if any)

BatchCreateChunksRequest

data BatchCreateChunksRequest Source #

BatchCreateChunksRequest Request to batch create Chunks.

Constructors

BatchCreateChunksRequest
Fields batchCreateChunksRequestRequests :: ![CreateChunkRequest] Required "requests" - Required. The request messages specifying the `Chunk`s to create. A maximum of 100 `Chunk`s can be created in a batch.

Instances

Instances details

FromJSON BatchCreateChunksRequest Source #	FromJSON BatchCreateChunksRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchCreateChunksRequest # parseJSONList :: Value -> Parser [BatchCreateChunksRequest] # omittedField :: Maybe BatchCreateChunksRequest #
ToJSON BatchCreateChunksRequest Source #	ToJSON BatchCreateChunksRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchCreateChunksRequest -> Value # toEncoding :: BatchCreateChunksRequest -> Encoding # toJSONList :: [BatchCreateChunksRequest] -> Value # toEncodingList :: [BatchCreateChunksRequest] -> Encoding # omitField :: BatchCreateChunksRequest -> Bool #
Show BatchCreateChunksRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchCreateChunksRequest -> ShowS # show :: BatchCreateChunksRequest -> String # showList :: [BatchCreateChunksRequest] -> ShowS #
Eq BatchCreateChunksRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchCreateChunksRequest -> BatchCreateChunksRequest -> Bool # (/=) :: BatchCreateChunksRequest -> BatchCreateChunksRequest -> Bool #
HasBodyParam BatchCreateChunks BatchCreateChunksRequest Source #	Body Param BatchCreateChunksRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes BatchCreateChunks contentType, MimeRender contentType BatchCreateChunksRequest) => ClientRequest BatchCreateChunks contentType res accept -> BatchCreateChunksRequest -> ClientRequest BatchCreateChunks contentType res accept Source #

mkBatchCreateChunksRequest Source #

Arguments

:: [CreateChunkRequest]	`batchCreateChunksRequestRequests`: Required. The request messages specifying the `Chunk`s to create. A maximum of 100 `Chunk`s can be created in a batch.
-> BatchCreateChunksRequest

Construct a value of type BatchCreateChunksRequest (by applying it's required fields, if any)

BatchCreateChunksResponse

data BatchCreateChunksResponse Source #

BatchCreateChunksResponse Response from BatchCreateChunks containing a list of created Chunks.

Constructors

BatchCreateChunksResponse
Fields batchCreateChunksResponseChunks :: !(Maybe [Chunk]) "chunks" - `Chunk`s created.

Instances

Instances details

FromJSON BatchCreateChunksResponse Source #	FromJSON BatchCreateChunksResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchCreateChunksResponse # parseJSONList :: Value -> Parser [BatchCreateChunksResponse] # omittedField :: Maybe BatchCreateChunksResponse #
ToJSON BatchCreateChunksResponse Source #	ToJSON BatchCreateChunksResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchCreateChunksResponse -> Value # toEncoding :: BatchCreateChunksResponse -> Encoding # toJSONList :: [BatchCreateChunksResponse] -> Value # toEncodingList :: [BatchCreateChunksResponse] -> Encoding # omitField :: BatchCreateChunksResponse -> Bool #
Show BatchCreateChunksResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchCreateChunksResponse -> ShowS # show :: BatchCreateChunksResponse -> String # showList :: [BatchCreateChunksResponse] -> ShowS #
Eq BatchCreateChunksResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchCreateChunksResponse -> BatchCreateChunksResponse -> Bool # (/=) :: BatchCreateChunksResponse -> BatchCreateChunksResponse -> Bool #

mkBatchCreateChunksResponse :: BatchCreateChunksResponse Source #

Construct a value of type BatchCreateChunksResponse (by applying it's required fields, if any)

BatchDeleteChunksRequest

data BatchDeleteChunksRequest Source #

BatchDeleteChunksRequest Request to batch delete Chunks.

Constructors

BatchDeleteChunksRequest
Fields batchDeleteChunksRequestRequests :: ![DeleteChunkRequest] Required "requests" - Required. The request messages specifying the `Chunk`s to delete.

Instances

Instances details

FromJSON BatchDeleteChunksRequest Source #	FromJSON BatchDeleteChunksRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchDeleteChunksRequest # parseJSONList :: Value -> Parser [BatchDeleteChunksRequest] # omittedField :: Maybe BatchDeleteChunksRequest #
ToJSON BatchDeleteChunksRequest Source #	ToJSON BatchDeleteChunksRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchDeleteChunksRequest -> Value # toEncoding :: BatchDeleteChunksRequest -> Encoding # toJSONList :: [BatchDeleteChunksRequest] -> Value # toEncodingList :: [BatchDeleteChunksRequest] -> Encoding # omitField :: BatchDeleteChunksRequest -> Bool #
Show BatchDeleteChunksRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchDeleteChunksRequest -> ShowS # show :: BatchDeleteChunksRequest -> String # showList :: [BatchDeleteChunksRequest] -> ShowS #
Eq BatchDeleteChunksRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchDeleteChunksRequest -> BatchDeleteChunksRequest -> Bool # (/=) :: BatchDeleteChunksRequest -> BatchDeleteChunksRequest -> Bool #
HasBodyParam BatchDeleteChunks BatchDeleteChunksRequest Source #	Body Param BatchDeleteChunksRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes BatchDeleteChunks contentType, MimeRender contentType BatchDeleteChunksRequest) => ClientRequest BatchDeleteChunks contentType res accept -> BatchDeleteChunksRequest -> ClientRequest BatchDeleteChunks contentType res accept Source #

mkBatchDeleteChunksRequest Source #

Arguments

:: [DeleteChunkRequest]	`batchDeleteChunksRequestRequests`: Required. The request messages specifying the `Chunk`s to delete.
-> BatchDeleteChunksRequest

Construct a value of type BatchDeleteChunksRequest (by applying it's required fields, if any)

BatchEmbedContentsRequest

data BatchEmbedContentsRequest Source #

BatchEmbedContentsRequest Batch request to get embeddings from the model for a list of prompts.

Constructors

BatchEmbedContentsRequest
Fields batchEmbedContentsRequestRequests :: ![EmbedContentRequest] Required "requests" - Required. Embed requests for the batch. The model in each of these requests must match the model specified `BatchEmbedContentsRequest.model`.

Instances

Instances details

FromJSON BatchEmbedContentsRequest Source #	FromJSON BatchEmbedContentsRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchEmbedContentsRequest # parseJSONList :: Value -> Parser [BatchEmbedContentsRequest] # omittedField :: Maybe BatchEmbedContentsRequest #
ToJSON BatchEmbedContentsRequest Source #	ToJSON BatchEmbedContentsRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchEmbedContentsRequest -> Value # toEncoding :: BatchEmbedContentsRequest -> Encoding # toJSONList :: [BatchEmbedContentsRequest] -> Value # toEncodingList :: [BatchEmbedContentsRequest] -> Encoding # omitField :: BatchEmbedContentsRequest -> Bool #
Show BatchEmbedContentsRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchEmbedContentsRequest -> ShowS # show :: BatchEmbedContentsRequest -> String # showList :: [BatchEmbedContentsRequest] -> ShowS #
Eq BatchEmbedContentsRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchEmbedContentsRequest -> BatchEmbedContentsRequest -> Bool # (/=) :: BatchEmbedContentsRequest -> BatchEmbedContentsRequest -> Bool #
HasBodyParam BatchEmbedContents BatchEmbedContentsRequest Source #	Body Param BatchEmbedContentsRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes BatchEmbedContents contentType, MimeRender contentType BatchEmbedContentsRequest) => ClientRequest BatchEmbedContents contentType res accept -> BatchEmbedContentsRequest -> ClientRequest BatchEmbedContents contentType res accept Source #

mkBatchEmbedContentsRequest Source #

Arguments

:: [EmbedContentRequest]	`batchEmbedContentsRequestRequests`: Required. Embed requests for the batch. The model in each of these requests must match the model specified `model`.
-> BatchEmbedContentsRequest

Construct a value of type BatchEmbedContentsRequest (by applying it's required fields, if any)

BatchEmbedContentsResponse

data BatchEmbedContentsResponse Source #

BatchEmbedContentsResponse The response to a BatchEmbedContentsRequest.

Constructors

BatchEmbedContentsResponse
Fields batchEmbedContentsResponseEmbeddings :: !(Maybe [ContentEmbedding]) ReadOnly "embeddings" - Output only. The embeddings for each request, in the same order as provided in the batch request.

Instances

Instances details

FromJSON BatchEmbedContentsResponse Source #	FromJSON BatchEmbedContentsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchEmbedContentsResponse # parseJSONList :: Value -> Parser [BatchEmbedContentsResponse] # omittedField :: Maybe BatchEmbedContentsResponse #
ToJSON BatchEmbedContentsResponse Source #	ToJSON BatchEmbedContentsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchEmbedContentsResponse -> Value # toEncoding :: BatchEmbedContentsResponse -> Encoding # toJSONList :: [BatchEmbedContentsResponse] -> Value # toEncodingList :: [BatchEmbedContentsResponse] -> Encoding # omitField :: BatchEmbedContentsResponse -> Bool #
Show BatchEmbedContentsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchEmbedContentsResponse -> ShowS # show :: BatchEmbedContentsResponse -> String # showList :: [BatchEmbedContentsResponse] -> ShowS #
Eq BatchEmbedContentsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchEmbedContentsResponse -> BatchEmbedContentsResponse -> Bool # (/=) :: BatchEmbedContentsResponse -> BatchEmbedContentsResponse -> Bool #

mkBatchEmbedContentsResponse :: BatchEmbedContentsResponse Source #

Construct a value of type BatchEmbedContentsResponse (by applying it's required fields, if any)

BatchEmbedTextRequest

data BatchEmbedTextRequest Source #

BatchEmbedTextRequest Batch request to get a text embedding from the model.

Constructors

BatchEmbedTextRequest
Fields batchEmbedTextRequestRequests :: !(Maybe [EmbedTextRequest]) "requests" - Optional. Embed requests for the batch. Only one of `texts` or `requests` can be set. batchEmbedTextRequestTexts :: !(Maybe [Text]) "texts" - Optional. The free-form input texts that the model will turn into an embedding. The current limit is 100 texts, over which an error will be thrown.

Instances

Instances details

FromJSON BatchEmbedTextRequest Source #	FromJSON BatchEmbedTextRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchEmbedTextRequest # parseJSONList :: Value -> Parser [BatchEmbedTextRequest] # omittedField :: Maybe BatchEmbedTextRequest #
ToJSON BatchEmbedTextRequest Source #	ToJSON BatchEmbedTextRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchEmbedTextRequest -> Value # toEncoding :: BatchEmbedTextRequest -> Encoding # toJSONList :: [BatchEmbedTextRequest] -> Value # toEncodingList :: [BatchEmbedTextRequest] -> Encoding # omitField :: BatchEmbedTextRequest -> Bool #
Show BatchEmbedTextRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchEmbedTextRequest -> ShowS # show :: BatchEmbedTextRequest -> String # showList :: [BatchEmbedTextRequest] -> ShowS #
Eq BatchEmbedTextRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchEmbedTextRequest -> BatchEmbedTextRequest -> Bool # (/=) :: BatchEmbedTextRequest -> BatchEmbedTextRequest -> Bool #
HasBodyParam BatchEmbedText BatchEmbedTextRequest Source #	Body Param BatchEmbedTextRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes BatchEmbedText contentType, MimeRender contentType BatchEmbedTextRequest) => ClientRequest BatchEmbedText contentType res accept -> BatchEmbedTextRequest -> ClientRequest BatchEmbedText contentType res accept Source #

mkBatchEmbedTextRequest :: BatchEmbedTextRequest Source #

Construct a value of type BatchEmbedTextRequest (by applying it's required fields, if any)

BatchEmbedTextResponse

data BatchEmbedTextResponse Source #

BatchEmbedTextResponse The response to a EmbedTextRequest.

Constructors

BatchEmbedTextResponse
Fields batchEmbedTextResponseEmbeddings :: !(Maybe [Embedding]) ReadOnly "embeddings" - Output only. The embeddings generated from the input text.

Instances

Instances details

FromJSON BatchEmbedTextResponse Source #	FromJSON BatchEmbedTextResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchEmbedTextResponse # parseJSONList :: Value -> Parser [BatchEmbedTextResponse] # omittedField :: Maybe BatchEmbedTextResponse #
ToJSON BatchEmbedTextResponse Source #	ToJSON BatchEmbedTextResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchEmbedTextResponse -> Value # toEncoding :: BatchEmbedTextResponse -> Encoding # toJSONList :: [BatchEmbedTextResponse] -> Value # toEncodingList :: [BatchEmbedTextResponse] -> Encoding # omitField :: BatchEmbedTextResponse -> Bool #
Show BatchEmbedTextResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchEmbedTextResponse -> ShowS # show :: BatchEmbedTextResponse -> String # showList :: [BatchEmbedTextResponse] -> ShowS #
Eq BatchEmbedTextResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchEmbedTextResponse -> BatchEmbedTextResponse -> Bool # (/=) :: BatchEmbedTextResponse -> BatchEmbedTextResponse -> Bool #

mkBatchEmbedTextResponse :: BatchEmbedTextResponse Source #

Construct a value of type BatchEmbedTextResponse (by applying it's required fields, if any)

BatchUpdateChunksRequest

data BatchUpdateChunksRequest Source #

BatchUpdateChunksRequest Request to batch update Chunks.

Constructors

BatchUpdateChunksRequest
Fields batchUpdateChunksRequestRequests :: ![UpdateChunkRequest] Required "requests" - Required. The request messages specifying the `Chunk`s to update. A maximum of 100 `Chunk`s can be updated in a batch.

Instances

Instances details

FromJSON BatchUpdateChunksRequest Source #	FromJSON BatchUpdateChunksRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchUpdateChunksRequest # parseJSONList :: Value -> Parser [BatchUpdateChunksRequest] # omittedField :: Maybe BatchUpdateChunksRequest #
ToJSON BatchUpdateChunksRequest Source #	ToJSON BatchUpdateChunksRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchUpdateChunksRequest -> Value # toEncoding :: BatchUpdateChunksRequest -> Encoding # toJSONList :: [BatchUpdateChunksRequest] -> Value # toEncodingList :: [BatchUpdateChunksRequest] -> Encoding # omitField :: BatchUpdateChunksRequest -> Bool #
Show BatchUpdateChunksRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchUpdateChunksRequest -> ShowS # show :: BatchUpdateChunksRequest -> String # showList :: [BatchUpdateChunksRequest] -> ShowS #
Eq BatchUpdateChunksRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchUpdateChunksRequest -> BatchUpdateChunksRequest -> Bool # (/=) :: BatchUpdateChunksRequest -> BatchUpdateChunksRequest -> Bool #
HasBodyParam BatchUpdateChunks BatchUpdateChunksRequest Source #	Body Param BatchUpdateChunksRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes BatchUpdateChunks contentType, MimeRender contentType BatchUpdateChunksRequest) => ClientRequest BatchUpdateChunks contentType res accept -> BatchUpdateChunksRequest -> ClientRequest BatchUpdateChunks contentType res accept Source #

mkBatchUpdateChunksRequest Source #

Arguments

:: [UpdateChunkRequest]	`batchUpdateChunksRequestRequests`: Required. The request messages specifying the `Chunk`s to update. A maximum of 100 `Chunk`s can be updated in a batch.
-> BatchUpdateChunksRequest

Construct a value of type BatchUpdateChunksRequest (by applying it's required fields, if any)

BatchUpdateChunksResponse

data BatchUpdateChunksResponse Source #

BatchUpdateChunksResponse Response from BatchUpdateChunks containing a list of updated Chunks.

Constructors

BatchUpdateChunksResponse
Fields batchUpdateChunksResponseChunks :: !(Maybe [Chunk]) "chunks" - `Chunk`s updated.

Instances

Instances details

FromJSON BatchUpdateChunksResponse Source #	FromJSON BatchUpdateChunksResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser BatchUpdateChunksResponse # parseJSONList :: Value -> Parser [BatchUpdateChunksResponse] # omittedField :: Maybe BatchUpdateChunksResponse #
ToJSON BatchUpdateChunksResponse Source #	ToJSON BatchUpdateChunksResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: BatchUpdateChunksResponse -> Value # toEncoding :: BatchUpdateChunksResponse -> Encoding # toJSONList :: [BatchUpdateChunksResponse] -> Value # toEncodingList :: [BatchUpdateChunksResponse] -> Encoding # omitField :: BatchUpdateChunksResponse -> Bool #
Show BatchUpdateChunksResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> BatchUpdateChunksResponse -> ShowS # show :: BatchUpdateChunksResponse -> String # showList :: [BatchUpdateChunksResponse] -> ShowS #
Eq BatchUpdateChunksResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: BatchUpdateChunksResponse -> BatchUpdateChunksResponse -> Bool # (/=) :: BatchUpdateChunksResponse -> BatchUpdateChunksResponse -> Bool #

mkBatchUpdateChunksResponse :: BatchUpdateChunksResponse Source #

Construct a value of type BatchUpdateChunksResponse (by applying it's required fields, if any)

Blob

data Blob Source #

Blob Raw media bytes. Text should not be sent as raw bytes, use the text field.

Constructors

Blob
Fields blobData :: !(Maybe ByteArray) "data" - Raw bytes for media formats. blobMimeType :: !(Maybe Text) "mimeType" - The IANA standard MIME type of the source data. Examples: - imagepng - imagejpeg If an unsupported MIME type is provided, an error will be returned. For a complete list of supported types, see Supported file formats.

Instances

Instances details

FromJSON Blob Source #	FromJSON Blob
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Blob # parseJSONList :: Value -> Parser [Blob] # omittedField :: Maybe Blob #
ToJSON Blob Source #	ToJSON Blob
Instance details Defined in GenAI.Client.Model Methods toJSON :: Blob -> Value # toEncoding :: Blob -> Encoding # toJSONList :: [Blob] -> Value # toEncodingList :: [Blob] -> Encoding # omitField :: Blob -> Bool #
Show Blob Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Blob -> ShowS # show :: Blob -> String # showList :: [Blob] -> ShowS #
Eq Blob Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Blob -> Blob -> Bool # (/=) :: Blob -> Blob -> Bool #

mkBlob :: Blob Source #

Construct a value of type Blob (by applying it's required fields, if any)

CachedContent

data CachedContent Source #

CachedContent 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.

Constructors

CachedContent

Fields

cachedContentTools :: !(Maybe [Tool])
"tools" - Optional. Input only. Immutable. A list of `Tools` the model may use to generate the next response
cachedContentDisplayName :: !(Maybe Text)
"displayName" - Optional. Immutable. The user-generated meaningful display name of the cached content. Maximum 128 Unicode characters.
cachedContentModel :: !Text
Required "model" - Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`
cachedContentExpireTime :: !(Maybe DateTime)
"expireTime" - Timestamp in UTC of when this resource is considered expired. This is *always* provided on output, regardless of what was sent on input.
cachedContentUsageMetadata :: !(Maybe CachedContentUsageMetadata)
ReadOnly "usageMetadata" - Output only. Metadata on the usage of the cached content.
cachedContentName :: !(Maybe Text)
ReadOnly "name" - Output only. Identifier. The resource name referring to the cached content. Format: `cachedContents/{id}`
cachedContentContents :: !(Maybe [Content])
"contents" - Optional. Input only. Immutable. The content to cache.
cachedContentSystemInstruction :: !(Maybe Content)
"systemInstruction" - Optional. Input only. Immutable. Developer set system instruction. Currently text only.
cachedContentToolConfig :: !(Maybe ToolConfig)
"toolConfig" - Optional. Input only. Immutable. Tool config. This config is shared for all tools.
cachedContentCreateTime :: !(Maybe DateTime)
ReadOnly "createTime" - Output only. Creation time of the cache entry.
cachedContentTtl :: !(Maybe Text)
"ttl" - Input only. New TTL for this resource, input only.
cachedContentUpdateTime :: !(Maybe DateTime)
ReadOnly "updateTime" - Output only. When the cache entry was last updated in UTC time.

Instances

Instances details

FromJSON CachedContent Source #	FromJSON CachedContent
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CachedContent # parseJSONList :: Value -> Parser [CachedContent] # omittedField :: Maybe CachedContent #
ToJSON CachedContent Source #	ToJSON CachedContent
Instance details Defined in GenAI.Client.Model Methods toJSON :: CachedContent -> Value # toEncoding :: CachedContent -> Encoding # toJSONList :: [CachedContent] -> Value # toEncodingList :: [CachedContent] -> Encoding # omitField :: CachedContent -> Bool #
Show CachedContent Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CachedContent -> ShowS # show :: CachedContent -> String # showList :: [CachedContent] -> ShowS #
Eq CachedContent Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CachedContent -> CachedContent -> Bool # (/=) :: CachedContent -> CachedContent -> Bool #
HasBodyParam CreateCachedContent CachedContent Source #	Body Param CachedContent - Required. The cached content to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreateCachedContent contentType, MimeRender contentType CachedContent) => ClientRequest CreateCachedContent contentType res accept -> CachedContent -> ClientRequest CreateCachedContent contentType res accept Source #
HasBodyParam UpdateCachedContent CachedContent Source #	Body Param CachedContent - Required. The content cache entry to update
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdateCachedContent contentType, MimeRender contentType CachedContent) => ClientRequest UpdateCachedContent contentType res accept -> CachedContent -> ClientRequest UpdateCachedContent contentType res accept Source #

mkCachedContent Source #

Arguments

:: Text	`cachedContentModel`: Required. Immutable. The name of the `Model` to use for cached content Format: `models/{model}`
-> CachedContent

Construct a value of type CachedContent (by applying it's required fields, if any)

CachedContentUsageMetadata

data CachedContentUsageMetadata Source #

CachedContentUsageMetadata Metadata on the usage of the cached content.

Constructors

CachedContentUsageMetadata
Fields cachedContentUsageMetadataTotalTokenCount :: !(Maybe Int) "totalTokenCount" - Total number of tokens that the cached content consumes.

Instances

Instances details

FromJSON CachedContentUsageMetadata Source #	FromJSON CachedContentUsageMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CachedContentUsageMetadata # parseJSONList :: Value -> Parser [CachedContentUsageMetadata] # omittedField :: Maybe CachedContentUsageMetadata #
ToJSON CachedContentUsageMetadata Source #	ToJSON CachedContentUsageMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: CachedContentUsageMetadata -> Value # toEncoding :: CachedContentUsageMetadata -> Encoding # toJSONList :: [CachedContentUsageMetadata] -> Value # toEncodingList :: [CachedContentUsageMetadata] -> Encoding # omitField :: CachedContentUsageMetadata -> Bool #
Show CachedContentUsageMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CachedContentUsageMetadata -> ShowS # show :: CachedContentUsageMetadata -> String # showList :: [CachedContentUsageMetadata] -> ShowS #
Eq CachedContentUsageMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CachedContentUsageMetadata -> CachedContentUsageMetadata -> Bool # (/=) :: CachedContentUsageMetadata -> CachedContentUsageMetadata -> Bool #

mkCachedContentUsageMetadata :: CachedContentUsageMetadata Source #

Construct a value of type CachedContentUsageMetadata (by applying it's required fields, if any)

Candidate

data Candidate Source #

Candidate A response candidate generated from the model.

Constructors

Candidate

Fields

candidateCitationMetadata :: !(Maybe CitationMetadata)
ReadOnly "citationMetadata" - 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.
candidateGroundingMetadata :: !(Maybe GroundingMetadata)
ReadOnly "groundingMetadata" - Output only. Grounding metadata for the candidate. This field is populated for `GenerateContent` calls.
candidateUrlContextMetadata :: !(Maybe UrlContextMetadata)
ReadOnly "urlContextMetadata" - Output only. Metadata related to url context retrieval tool.
candidateGroundingAttributions :: !(Maybe [GroundingAttribution])
ReadOnly "groundingAttributions" - Output only. Attribution information for sources that contributed to a grounded answer. This field is populated for `GenerateAnswer` calls.
candidateLogprobsResult :: !(Maybe LogprobsResult)
ReadOnly "logprobsResult" - Output only. Log-likelihood scores for the response tokens and top tokens
candidateContent :: !(Maybe Content)
ReadOnly "content" - Output only. Generated content returned from the model.
candidateAvgLogprobs :: !(Maybe Double)
ReadOnly "avgLogprobs" - Output only. Average log probability score of the candidate.
candidateIndex :: !(Maybe Int)
ReadOnly "index" - Output only. Index of the candidate in the list of response candidates.
candidateFinishReason :: !(Maybe E'FinishReason)
ReadOnly "finishReason" - Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.
candidateSafetyRatings :: !(Maybe [SafetyRating])
"safetyRatings" - List of ratings for the safety of a response candidate. There is at most one rating per category.
candidateTokenCount :: !(Maybe Int)
ReadOnly "tokenCount" - Output only. Token count for this candidate.

Instances

Instances details

FromJSON Candidate Source #	FromJSON Candidate
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Candidate # parseJSONList :: Value -> Parser [Candidate] # omittedField :: Maybe Candidate #
ToJSON Candidate Source #	ToJSON Candidate
Instance details Defined in GenAI.Client.Model Methods toJSON :: Candidate -> Value # toEncoding :: Candidate -> Encoding # toJSONList :: [Candidate] -> Value # toEncodingList :: [Candidate] -> Encoding # omitField :: Candidate -> Bool #
Show Candidate Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Candidate -> ShowS # show :: Candidate -> String # showList :: [Candidate] -> ShowS #
Eq Candidate Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Candidate -> Candidate -> Bool # (/=) :: Candidate -> Candidate -> Bool #

mkCandidate :: Candidate Source #

Construct a value of type Candidate (by applying it's required fields, if any)

Chunk

data Chunk Source #

Chunk A Chunk is a subpart of a Document that is treated as an independent unit for the purposes of vector representation and storage. A Corpus can have a maximum of 1 million Chunks.

Constructors

Chunk

Fields

chunkCreateTime :: !(Maybe DateTime)
ReadOnly "createTime" - Output only. The Timestamp of when the `Chunk` was created.
chunkCustomMetadata :: !(Maybe [CustomMetadata])
"customMetadata" - Optional. User provided custom metadata stored as key-value pairs. The maximum number of `CustomMetadata` per chunk is 20.
chunkData :: !ChunkData
Required "data" - Required. The content for the `Chunk`, such as the text string. The maximum number of tokens per chunk is 2043.
chunkUpdateTime :: !(Maybe DateTime)
ReadOnly "updateTime" - Output only. The Timestamp of when the `Chunk` was last updated.
chunkState :: !(Maybe E'State4)
ReadOnly "state" - Output only. Current state of the `Chunk`.
chunkName :: !(Maybe Text)
"name" - Immutable. Identifier. The `Chunk` resource name. The ID (name excluding the "corpora*documents*chunks" 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 random 12-character unique ID will be generated. Example: `corpora{corpus_id}documents{document_id}chunks123a456b789c`

Instances

Instances details

FromJSON Chunk Source #	FromJSON Chunk
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Chunk # parseJSONList :: Value -> Parser [Chunk] # omittedField :: Maybe Chunk #
ToJSON Chunk Source #	ToJSON Chunk
Instance details Defined in GenAI.Client.Model Methods toJSON :: Chunk -> Value # toEncoding :: Chunk -> Encoding # toJSONList :: [Chunk] -> Value # toEncodingList :: [Chunk] -> Encoding # omitField :: Chunk -> Bool #
Show Chunk Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Chunk -> ShowS # show :: Chunk -> String # showList :: [Chunk] -> ShowS #
Eq Chunk Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Chunk -> Chunk -> Bool # (/=) :: Chunk -> Chunk -> Bool #
HasBodyParam CreateChunk Chunk Source #	Body Param Chunk - Required. The `Chunk` to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreateChunk contentType, MimeRender contentType Chunk) => ClientRequest CreateChunk contentType res accept -> Chunk -> ClientRequest CreateChunk contentType res accept Source #
HasBodyParam UpdateChunk Chunk Source #	Body Param Chunk - Required. The `Chunk` to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdateChunk contentType, MimeRender contentType Chunk) => ClientRequest UpdateChunk contentType res accept -> Chunk -> ClientRequest UpdateChunk contentType res accept Source #

mkChunk Source #

Arguments

:: ChunkData	`chunkData`: Required. The content for the `Chunk`, such as the text string. The maximum number of tokens per chunk is 2043.
-> Chunk

Construct a value of type Chunk (by applying it's required fields, if any)

ChunkData

data ChunkData Source #

ChunkData Extracted data that represents the Chunk content.

Constructors

ChunkData
Fields chunkDataStringValue :: !(Maybe Text) "stringValue" - The `Chunk` content as a string. The maximum number of tokens per chunk is 2043.

Instances

Instances details

FromJSON ChunkData Source #	FromJSON ChunkData
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ChunkData # parseJSONList :: Value -> Parser [ChunkData] # omittedField :: Maybe ChunkData #
ToJSON ChunkData Source #	ToJSON ChunkData
Instance details Defined in GenAI.Client.Model Methods toJSON :: ChunkData -> Value # toEncoding :: ChunkData -> Encoding # toJSONList :: [ChunkData] -> Value # toEncodingList :: [ChunkData] -> Encoding # omitField :: ChunkData -> Bool #
Show ChunkData Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ChunkData -> ShowS # show :: ChunkData -> String # showList :: [ChunkData] -> ShowS #
Eq ChunkData Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ChunkData -> ChunkData -> Bool # (/=) :: ChunkData -> ChunkData -> Bool #

mkChunkData :: ChunkData Source #

Construct a value of type ChunkData (by applying it's required fields, if any)

CitationMetadata

data CitationMetadata Source #

CitationMetadata A collection of source attributions for a piece of content.

Constructors

CitationMetadata
Fields citationMetadataCitationSources :: !(Maybe [CitationSource]) "citationSources" - Citations to sources for a specific response.

Instances

Instances details

FromJSON CitationMetadata Source #	FromJSON CitationMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CitationMetadata # parseJSONList :: Value -> Parser [CitationMetadata] # omittedField :: Maybe CitationMetadata #
ToJSON CitationMetadata Source #	ToJSON CitationMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: CitationMetadata -> Value # toEncoding :: CitationMetadata -> Encoding # toJSONList :: [CitationMetadata] -> Value # toEncodingList :: [CitationMetadata] -> Encoding # omitField :: CitationMetadata -> Bool #
Show CitationMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CitationMetadata -> ShowS # show :: CitationMetadata -> String # showList :: [CitationMetadata] -> ShowS #
Eq CitationMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CitationMetadata -> CitationMetadata -> Bool # (/=) :: CitationMetadata -> CitationMetadata -> Bool #

mkCitationMetadata :: CitationMetadata Source #

Construct a value of type CitationMetadata (by applying it's required fields, if any)

CitationSource

data CitationSource Source #

CitationSource A citation to a source for a portion of a specific response.

Constructors

CitationSource

Fields

citationSourceStartIndex :: !(Maybe Int)
"startIndex" - Optional. Start of segment of the response that is attributed to this source. Index indicates the start of the segment, measured in bytes.
citationSourceUri :: !(Maybe Text)
"uri" - Optional. URI that is attributed as a source for a portion of the text.
citationSourceEndIndex :: !(Maybe Int)
"endIndex" - Optional. End of the attributed segment, exclusive.
citationSourceLicense :: !(Maybe Text)
"license" - Optional. License for the GitHub project that is attributed as a source for segment. License info is required for code citations.

Instances

Instances details

FromJSON CitationSource Source #	FromJSON CitationSource
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CitationSource # parseJSONList :: Value -> Parser [CitationSource] # omittedField :: Maybe CitationSource #
ToJSON CitationSource Source #	ToJSON CitationSource
Instance details Defined in GenAI.Client.Model Methods toJSON :: CitationSource -> Value # toEncoding :: CitationSource -> Encoding # toJSONList :: [CitationSource] -> Value # toEncodingList :: [CitationSource] -> Encoding # omitField :: CitationSource -> Bool #
Show CitationSource Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CitationSource -> ShowS # show :: CitationSource -> String # showList :: [CitationSource] -> ShowS #
Eq CitationSource Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CitationSource -> CitationSource -> Bool # (/=) :: CitationSource -> CitationSource -> Bool #

mkCitationSource :: CitationSource Source #

Construct a value of type CitationSource (by applying it's required fields, if any)

CodeExecutionResult

data CodeExecutionResult Source #

CodeExecutionResult Result of executing the ExecutableCode. Only generated when using the CodeExecution, and always follows a part containing the ExecutableCode.

Constructors

CodeExecutionResult
Fields codeExecutionResultOutcome :: !E'Outcome Required "outcome" - Required. Outcome of the code execution. codeExecutionResultOutput :: !(Maybe Text) "output" - Optional. Contains stdout when code execution is successful, stderr or other description otherwise.

Instances

Instances details

FromJSON CodeExecutionResult Source #	FromJSON CodeExecutionResult
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CodeExecutionResult # parseJSONList :: Value -> Parser [CodeExecutionResult] # omittedField :: Maybe CodeExecutionResult #
ToJSON CodeExecutionResult Source #	ToJSON CodeExecutionResult
Instance details Defined in GenAI.Client.Model Methods toJSON :: CodeExecutionResult -> Value # toEncoding :: CodeExecutionResult -> Encoding # toJSONList :: [CodeExecutionResult] -> Value # toEncodingList :: [CodeExecutionResult] -> Encoding # omitField :: CodeExecutionResult -> Bool #
Show CodeExecutionResult Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CodeExecutionResult -> ShowS # show :: CodeExecutionResult -> String # showList :: [CodeExecutionResult] -> ShowS #
Eq CodeExecutionResult Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CodeExecutionResult -> CodeExecutionResult -> Bool # (/=) :: CodeExecutionResult -> CodeExecutionResult -> Bool #

mkCodeExecutionResult Source #

Arguments

:: E'Outcome	`codeExecutionResultOutcome`: Required. Outcome of the code execution.
-> CodeExecutionResult

Construct a value of type CodeExecutionResult (by applying it's required fields, if any)

Condition

data Condition Source #

Condition Filter condition applicable to a single key.

Constructors

Condition
Fields conditionNumericValue :: !(Maybe Float) "numericValue" - The numeric value to filter the metadata on. conditionOperation :: !E'Operation Required "operation" - Required. Operator applied to the given key-value pair to trigger the condition. conditionStringValue :: !(Maybe Text) "stringValue" - The string value to filter the metadata on.

Instances

Instances details

FromJSON Condition Source #	FromJSON Condition
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Condition # parseJSONList :: Value -> Parser [Condition] # omittedField :: Maybe Condition #
ToJSON Condition Source #	ToJSON Condition
Instance details Defined in GenAI.Client.Model Methods toJSON :: Condition -> Value # toEncoding :: Condition -> Encoding # toJSONList :: [Condition] -> Value # toEncodingList :: [Condition] -> Encoding # omitField :: Condition -> Bool #
Show Condition Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Condition -> ShowS # show :: Condition -> String # showList :: [Condition] -> ShowS #
Eq Condition Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Condition -> Condition -> Bool # (/=) :: Condition -> Condition -> Bool #

mkCondition Source #

Arguments

:: E'Operation	`conditionOperation`: Required. Operator applied to the given key-value pair to trigger the condition.
-> Condition

Construct a value of type Condition (by applying it's required fields, if any)

Content The base structured datatype containing multi-part content of a message. A Content includes a role field designating the producer of the Content and a parts field containing multi-part data that contains the content of the message turn.

Constructors

Content
Fields contentParts :: !(Maybe [Part]) "parts" - Ordered `Parts` that constitute a single message. Parts may have different MIME types. contentRole :: !(Maybe Text) "role" - 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.

Instances

Instances details

FromJSON Content Source #	FromJSON Content
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Content # parseJSONList :: Value -> Parser [Content] # omittedField :: Maybe Content #
ToJSON Content Source #	ToJSON Content
Instance details Defined in GenAI.Client.Model Methods toJSON :: Content -> Value # toEncoding :: Content -> Encoding # toJSONList :: [Content] -> Value # toEncodingList :: [Content] -> Encoding # omitField :: Content -> Bool #
Show Content Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Content -> ShowS # show :: Content -> String # showList :: [Content] -> ShowS #
Eq Content Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Content -> Content -> Bool # (/=) :: Content -> Content -> Bool #

mkContent :: Content Source #

Construct a value of type Content (by applying it's required fields, if any)

ContentEmbedding

data ContentEmbedding Source #

ContentEmbedding A list of floats representing an embedding.

Constructors

ContentEmbedding
Fields contentEmbeddingValues :: !(Maybe [Float]) "values" - The embedding values.

Instances

Instances details

FromJSON ContentEmbedding Source #	FromJSON ContentEmbedding
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ContentEmbedding # parseJSONList :: Value -> Parser [ContentEmbedding] # omittedField :: Maybe ContentEmbedding #
ToJSON ContentEmbedding Source #	ToJSON ContentEmbedding
Instance details Defined in GenAI.Client.Model Methods toJSON :: ContentEmbedding -> Value # toEncoding :: ContentEmbedding -> Encoding # toJSONList :: [ContentEmbedding] -> Value # toEncodingList :: [ContentEmbedding] -> Encoding # omitField :: ContentEmbedding -> Bool #
Show ContentEmbedding Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ContentEmbedding -> ShowS # show :: ContentEmbedding -> String # showList :: [ContentEmbedding] -> ShowS #
Eq ContentEmbedding Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ContentEmbedding -> ContentEmbedding -> Bool # (/=) :: ContentEmbedding -> ContentEmbedding -> Bool #

mkContentEmbedding :: ContentEmbedding Source #

Construct a value of type ContentEmbedding (by applying it's required fields, if any)

ContentFilter

data ContentFilter Source #

ContentFilter Content filtering metadata associated with processing a single request. ContentFilter contains a reason and an optional supporting string. The reason may be unspecified.

Constructors

ContentFilter
Fields contentFilterReason :: !(Maybe E'Reason) "reason" - The reason content was blocked during request processing. contentFilterMessage :: !(Maybe Text) "message" - A string that describes the filtering behavior in more detail.

Instances

Instances details

FromJSON ContentFilter Source #	FromJSON ContentFilter
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ContentFilter # parseJSONList :: Value -> Parser [ContentFilter] # omittedField :: Maybe ContentFilter #
ToJSON ContentFilter Source #	ToJSON ContentFilter
Instance details Defined in GenAI.Client.Model Methods toJSON :: ContentFilter -> Value # toEncoding :: ContentFilter -> Encoding # toJSONList :: [ContentFilter] -> Value # toEncodingList :: [ContentFilter] -> Encoding # omitField :: ContentFilter -> Bool #
Show ContentFilter Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ContentFilter -> ShowS # show :: ContentFilter -> String # showList :: [ContentFilter] -> ShowS #
Eq ContentFilter Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ContentFilter -> ContentFilter -> Bool # (/=) :: ContentFilter -> ContentFilter -> Bool #

mkContentFilter :: ContentFilter Source #

Construct a value of type ContentFilter (by applying it's required fields, if any)

Corpus

data Corpus Source #

Corpus A Corpus is a collection of Documents. A project can create up to 5 corpora.

Constructors

Corpus

Fields

corpusUpdateTime :: !(Maybe DateTime)
ReadOnly "updateTime" - Output only. The Timestamp of when the `Corpus` was last updated.
corpusCreateTime :: !(Maybe DateTime)
ReadOnly "createTime" - Output only. The Timestamp of when the `Corpus` was created.
corpusDisplayName :: !(Maybe Text)
"displayName" - 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"
corpusName :: !(Maybe Text)
"name" - 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: `corporamy-awesome-corpora-123a456b789c`

Instances

Instances details

FromJSON Corpus Source #	FromJSON Corpus
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Corpus # parseJSONList :: Value -> Parser [Corpus] # omittedField :: Maybe Corpus #
ToJSON Corpus Source #	ToJSON Corpus
Instance details Defined in GenAI.Client.Model Methods toJSON :: Corpus -> Value # toEncoding :: Corpus -> Encoding # toJSONList :: [Corpus] -> Value # toEncodingList :: [Corpus] -> Encoding # omitField :: Corpus -> Bool #
Show Corpus Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Corpus -> ShowS # show :: Corpus -> String # showList :: [Corpus] -> ShowS #
Eq Corpus Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Corpus -> Corpus -> Bool # (/=) :: Corpus -> Corpus -> Bool #
HasBodyParam CreateCorpus Corpus Source #	Body Param Corpus - Required. The `Corpus` to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreateCorpus contentType, MimeRender contentType Corpus) => ClientRequest CreateCorpus contentType res accept -> Corpus -> ClientRequest CreateCorpus contentType res accept Source #
HasBodyParam UpdateCorpus Corpus Source #	Body Param Corpus - Required. The `Corpus` to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdateCorpus contentType, MimeRender contentType Corpus) => ClientRequest UpdateCorpus contentType res accept -> Corpus -> ClientRequest UpdateCorpus contentType res accept Source #

mkCorpus :: Corpus Source #

Construct a value of type Corpus (by applying it's required fields, if any)

CountMessageTokensRequest

data CountMessageTokensRequest Source #

CountMessageTokensRequest 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.

Constructors

CountMessageTokensRequest
Fields countMessageTokensRequestPrompt :: !MessagePrompt Required "prompt" - Required. The prompt, whose token count is to be returned.

Instances

Instances details

FromJSON CountMessageTokensRequest Source #	FromJSON CountMessageTokensRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CountMessageTokensRequest # parseJSONList :: Value -> Parser [CountMessageTokensRequest] # omittedField :: Maybe CountMessageTokensRequest #
ToJSON CountMessageTokensRequest Source #	ToJSON CountMessageTokensRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: CountMessageTokensRequest -> Value # toEncoding :: CountMessageTokensRequest -> Encoding # toJSONList :: [CountMessageTokensRequest] -> Value # toEncodingList :: [CountMessageTokensRequest] -> Encoding # omitField :: CountMessageTokensRequest -> Bool #
Show CountMessageTokensRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CountMessageTokensRequest -> ShowS # show :: CountMessageTokensRequest -> String # showList :: [CountMessageTokensRequest] -> ShowS #
Eq CountMessageTokensRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CountMessageTokensRequest -> CountMessageTokensRequest -> Bool # (/=) :: CountMessageTokensRequest -> CountMessageTokensRequest -> Bool #
HasBodyParam CountMessageTokens CountMessageTokensRequest Source #	Body Param CountMessageTokensRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CountMessageTokens contentType, MimeRender contentType CountMessageTokensRequest) => ClientRequest CountMessageTokens contentType res accept -> CountMessageTokensRequest -> ClientRequest CountMessageTokens contentType res accept Source #

mkCountMessageTokensRequest Source #

Arguments

:: MessagePrompt	`countMessageTokensRequestPrompt`: Required. The prompt, whose token count is to be returned.
-> CountMessageTokensRequest

Construct a value of type CountMessageTokensRequest (by applying it's required fields, if any)

CountMessageTokensResponse

data CountMessageTokensResponse Source #

CountMessageTokensResponse A response from CountMessageTokens. It returns the model's token_count for the prompt.

Constructors

CountMessageTokensResponse
Fields countMessageTokensResponseTokenCount :: !(Maybe Int) "tokenCount" - The number of tokens that the `model` tokenizes the `prompt` into. Always non-negative.

Instances

Instances details

FromJSON CountMessageTokensResponse Source #	FromJSON CountMessageTokensResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CountMessageTokensResponse # parseJSONList :: Value -> Parser [CountMessageTokensResponse] # omittedField :: Maybe CountMessageTokensResponse #
ToJSON CountMessageTokensResponse Source #	ToJSON CountMessageTokensResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: CountMessageTokensResponse -> Value # toEncoding :: CountMessageTokensResponse -> Encoding # toJSONList :: [CountMessageTokensResponse] -> Value # toEncodingList :: [CountMessageTokensResponse] -> Encoding # omitField :: CountMessageTokensResponse -> Bool #
Show CountMessageTokensResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CountMessageTokensResponse -> ShowS # show :: CountMessageTokensResponse -> String # showList :: [CountMessageTokensResponse] -> ShowS #
Eq CountMessageTokensResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CountMessageTokensResponse -> CountMessageTokensResponse -> Bool # (/=) :: CountMessageTokensResponse -> CountMessageTokensResponse -> Bool #

mkCountMessageTokensResponse :: CountMessageTokensResponse Source #

Construct a value of type CountMessageTokensResponse (by applying it's required fields, if any)

CountTextTokensRequest

data CountTextTokensRequest Source #

CountTextTokensRequest 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.

Constructors

CountTextTokensRequest
Fields countTextTokensRequestPrompt :: !TextPrompt Required "prompt" - Required. The free-form input text given to the model as a prompt.

Instances

Instances details

FromJSON CountTextTokensRequest Source #	FromJSON CountTextTokensRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CountTextTokensRequest # parseJSONList :: Value -> Parser [CountTextTokensRequest] # omittedField :: Maybe CountTextTokensRequest #
ToJSON CountTextTokensRequest Source #	ToJSON CountTextTokensRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: CountTextTokensRequest -> Value # toEncoding :: CountTextTokensRequest -> Encoding # toJSONList :: [CountTextTokensRequest] -> Value # toEncodingList :: [CountTextTokensRequest] -> Encoding # omitField :: CountTextTokensRequest -> Bool #
Show CountTextTokensRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CountTextTokensRequest -> ShowS # show :: CountTextTokensRequest -> String # showList :: [CountTextTokensRequest] -> ShowS #
Eq CountTextTokensRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CountTextTokensRequest -> CountTextTokensRequest -> Bool # (/=) :: CountTextTokensRequest -> CountTextTokensRequest -> Bool #
HasBodyParam CountTextTokens CountTextTokensRequest Source #	Body Param CountTextTokensRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CountTextTokens contentType, MimeRender contentType CountTextTokensRequest) => ClientRequest CountTextTokens contentType res accept -> CountTextTokensRequest -> ClientRequest CountTextTokens contentType res accept Source #

mkCountTextTokensRequest Source #

Arguments

:: TextPrompt	`countTextTokensRequestPrompt`: Required. The free-form input text given to the model as a prompt.
-> CountTextTokensRequest

Construct a value of type CountTextTokensRequest (by applying it's required fields, if any)

CountTextTokensResponse

data CountTextTokensResponse Source #

CountTextTokensResponse A response from CountTextTokens. It returns the model's token_count for the prompt.

Constructors

CountTextTokensResponse
Fields countTextTokensResponseTokenCount :: !(Maybe Int) "tokenCount" - The number of tokens that the `model` tokenizes the `prompt` into. Always non-negative.

Instances

Instances details

FromJSON CountTextTokensResponse Source #	FromJSON CountTextTokensResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CountTextTokensResponse # parseJSONList :: Value -> Parser [CountTextTokensResponse] # omittedField :: Maybe CountTextTokensResponse #
ToJSON CountTextTokensResponse Source #	ToJSON CountTextTokensResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: CountTextTokensResponse -> Value # toEncoding :: CountTextTokensResponse -> Encoding # toJSONList :: [CountTextTokensResponse] -> Value # toEncodingList :: [CountTextTokensResponse] -> Encoding # omitField :: CountTextTokensResponse -> Bool #
Show CountTextTokensResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CountTextTokensResponse -> ShowS # show :: CountTextTokensResponse -> String # showList :: [CountTextTokensResponse] -> ShowS #
Eq CountTextTokensResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CountTextTokensResponse -> CountTextTokensResponse -> Bool # (/=) :: CountTextTokensResponse -> CountTextTokensResponse -> Bool #

mkCountTextTokensResponse :: CountTextTokensResponse Source #

Construct a value of type CountTextTokensResponse (by applying it's required fields, if any)

CountTokensRequest

data CountTokensRequest Source #

CountTokensRequest 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.

Constructors

CountTokensRequest

Fields

countTokensRequestContents :: !(Maybe [Content])
"contents" - Optional. The input given to the model as a prompt. This field is ignored when `generate_content_request` is set.
countTokensRequestGenerateContentRequest :: !(Maybe GenerateContentRequest)
"generateContentRequest" - Optional. The overall input given to the `Model`. This includes the prompt as well as other model steering information like system instructions, andor function declarations for [function calling](https:ai.google.devgemini-apidocsfunction-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.

Instances

Instances details

FromJSON CountTokensRequest Source #	FromJSON CountTokensRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CountTokensRequest # parseJSONList :: Value -> Parser [CountTokensRequest] # omittedField :: Maybe CountTokensRequest #
ToJSON CountTokensRequest Source #	ToJSON CountTokensRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: CountTokensRequest -> Value # toEncoding :: CountTokensRequest -> Encoding # toJSONList :: [CountTokensRequest] -> Value # toEncodingList :: [CountTokensRequest] -> Encoding # omitField :: CountTokensRequest -> Bool #
Show CountTokensRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CountTokensRequest -> ShowS # show :: CountTokensRequest -> String # showList :: [CountTokensRequest] -> ShowS #
Eq CountTokensRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CountTokensRequest -> CountTokensRequest -> Bool # (/=) :: CountTokensRequest -> CountTokensRequest -> Bool #
HasBodyParam CountTokens CountTokensRequest Source #	Body Param CountTokensRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CountTokens contentType, MimeRender contentType CountTokensRequest) => ClientRequest CountTokens contentType res accept -> CountTokensRequest -> ClientRequest CountTokens contentType res accept Source #

mkCountTokensRequest :: CountTokensRequest Source #

Construct a value of type CountTokensRequest (by applying it's required fields, if any)

CountTokensResponse

data CountTokensResponse Source #

CountTokensResponse A response from CountTokens. It returns the model's token_count for the prompt.

Constructors

CountTokensResponse

Fields

countTokensResponseCacheTokensDetails :: !(Maybe [ModalityTokenCount])
ReadOnly "cacheTokensDetails" - Output only. List of modalities that were processed in the cached content.
countTokensResponsePromptTokensDetails :: !(Maybe [ModalityTokenCount])
ReadOnly "promptTokensDetails" - Output only. List of modalities that were processed in the request input.
countTokensResponseTotalTokens :: !(Maybe Int)
"totalTokens" - The number of tokens that the `Model` tokenizes the `prompt` into. Always non-negative.
countTokensResponseCachedContentTokenCount :: !(Maybe Int)
"cachedContentTokenCount" - Number of tokens in the cached part of the prompt (the cached content).

Instances

Instances details

FromJSON CountTokensResponse Source #	FromJSON CountTokensResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CountTokensResponse # parseJSONList :: Value -> Parser [CountTokensResponse] # omittedField :: Maybe CountTokensResponse #
ToJSON CountTokensResponse Source #	ToJSON CountTokensResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: CountTokensResponse -> Value # toEncoding :: CountTokensResponse -> Encoding # toJSONList :: [CountTokensResponse] -> Value # toEncodingList :: [CountTokensResponse] -> Encoding # omitField :: CountTokensResponse -> Bool #
Show CountTokensResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CountTokensResponse -> ShowS # show :: CountTokensResponse -> String # showList :: [CountTokensResponse] -> ShowS #
Eq CountTokensResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CountTokensResponse -> CountTokensResponse -> Bool # (/=) :: CountTokensResponse -> CountTokensResponse -> Bool #

mkCountTokensResponse :: CountTokensResponse Source #

Construct a value of type CountTokensResponse (by applying it's required fields, if any)

CreateChunkRequest

data CreateChunkRequest Source #

CreateChunkRequest Request to create a Chunk.

Constructors

CreateChunkRequest
Fields createChunkRequestParent :: !Text Required "parent" - Required. The name of the `Document` where this `Chunk` will be created. Example: `corporamy-corpus-123documents/the-doc-abc` createChunkRequestChunk :: !Chunk Required "chunk" - Required. The `Chunk` to create.

Instances

Instances details

FromJSON CreateChunkRequest Source #	FromJSON CreateChunkRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CreateChunkRequest # parseJSONList :: Value -> Parser [CreateChunkRequest] # omittedField :: Maybe CreateChunkRequest #
ToJSON CreateChunkRequest Source #	ToJSON CreateChunkRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: CreateChunkRequest -> Value # toEncoding :: CreateChunkRequest -> Encoding # toJSONList :: [CreateChunkRequest] -> Value # toEncodingList :: [CreateChunkRequest] -> Encoding # omitField :: CreateChunkRequest -> Bool #
Show CreateChunkRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CreateChunkRequest -> ShowS # show :: CreateChunkRequest -> String # showList :: [CreateChunkRequest] -> ShowS #
Eq CreateChunkRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CreateChunkRequest -> CreateChunkRequest -> Bool # (/=) :: CreateChunkRequest -> CreateChunkRequest -> Bool #

mkCreateChunkRequest Source #

Arguments

:: Text	`createChunkRequestParent`: Required. The name of the `Document` where this `Chunk` will be created. Example: `corporamy-corpus-123documents/the-doc-abc`
-> Chunk	`createChunkRequestChunk`: Required. The `Chunk` to create.
-> CreateChunkRequest

Construct a value of type CreateChunkRequest (by applying it's required fields, if any)

CreateFileRequest

data CreateFileRequest Source #

CreateFileRequest Request for CreateFile.

Constructors

CreateFileRequest
Fields createFileRequestFile :: !(Maybe File) "file" - Optional. Metadata for the file to create.

Instances

Instances details

FromJSON CreateFileRequest Source #	FromJSON CreateFileRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CreateFileRequest # parseJSONList :: Value -> Parser [CreateFileRequest] # omittedField :: Maybe CreateFileRequest #
ToJSON CreateFileRequest Source #	ToJSON CreateFileRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: CreateFileRequest -> Value # toEncoding :: CreateFileRequest -> Encoding # toJSONList :: [CreateFileRequest] -> Value # toEncodingList :: [CreateFileRequest] -> Encoding # omitField :: CreateFileRequest -> Bool #
Show CreateFileRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CreateFileRequest -> ShowS # show :: CreateFileRequest -> String # showList :: [CreateFileRequest] -> ShowS #
Eq CreateFileRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CreateFileRequest -> CreateFileRequest -> Bool # (/=) :: CreateFileRequest -> CreateFileRequest -> Bool #
HasBodyParam CreateFile CreateFileRequest Source #	Body Param CreateFileRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreateFile contentType, MimeRender contentType CreateFileRequest) => ClientRequest CreateFile contentType res accept -> CreateFileRequest -> ClientRequest CreateFile contentType res accept Source #

mkCreateFileRequest :: CreateFileRequest Source #

Construct a value of type CreateFileRequest (by applying it's required fields, if any)

CreateFileResponse

data CreateFileResponse Source #

CreateFileResponse Response for CreateFile.

Constructors

CreateFileResponse
Fields createFileResponseFile :: !(Maybe File) "file" - Metadata for the created file.

Instances

Instances details

FromJSON CreateFileResponse Source #	FromJSON CreateFileResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CreateFileResponse # parseJSONList :: Value -> Parser [CreateFileResponse] # omittedField :: Maybe CreateFileResponse #
ToJSON CreateFileResponse Source #	ToJSON CreateFileResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: CreateFileResponse -> Value # toEncoding :: CreateFileResponse -> Encoding # toJSONList :: [CreateFileResponse] -> Value # toEncodingList :: [CreateFileResponse] -> Encoding # omitField :: CreateFileResponse -> Bool #
Show CreateFileResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CreateFileResponse -> ShowS # show :: CreateFileResponse -> String # showList :: [CreateFileResponse] -> ShowS #
Eq CreateFileResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CreateFileResponse -> CreateFileResponse -> Bool # (/=) :: CreateFileResponse -> CreateFileResponse -> Bool #

mkCreateFileResponse :: CreateFileResponse Source #

Construct a value of type CreateFileResponse (by applying it's required fields, if any)

CreateTunedModelMetadata

data CreateTunedModelMetadata Source #

CreateTunedModelMetadata Metadata about the state and progress of creating a tuned model returned from the long-running operation

Constructors

CreateTunedModelMetadata

Fields

createTunedModelMetadataCompletedPercent :: !(Maybe Float)
"completedPercent" - The completed percentage for the tuning operation.
createTunedModelMetadataCompletedSteps :: !(Maybe Int)
"completedSteps" - The number of steps completed.
createTunedModelMetadataTotalSteps :: !(Maybe Int)
"totalSteps" - The total number of tuning steps.
createTunedModelMetadataSnapshots :: !(Maybe [TuningSnapshot])
"snapshots" - Metrics collected during tuning.
createTunedModelMetadataTunedModel :: !(Maybe Text)
"tunedModel" - Name of the tuned model associated with the tuning operation.

Instances

Instances details

FromJSON CreateTunedModelMetadata Source #	FromJSON CreateTunedModelMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CreateTunedModelMetadata # parseJSONList :: Value -> Parser [CreateTunedModelMetadata] # omittedField :: Maybe CreateTunedModelMetadata #
ToJSON CreateTunedModelMetadata Source #	ToJSON CreateTunedModelMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: CreateTunedModelMetadata -> Value # toEncoding :: CreateTunedModelMetadata -> Encoding # toJSONList :: [CreateTunedModelMetadata] -> Value # toEncodingList :: [CreateTunedModelMetadata] -> Encoding # omitField :: CreateTunedModelMetadata -> Bool #
Show CreateTunedModelMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CreateTunedModelMetadata -> ShowS # show :: CreateTunedModelMetadata -> String # showList :: [CreateTunedModelMetadata] -> ShowS #
Eq CreateTunedModelMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CreateTunedModelMetadata -> CreateTunedModelMetadata -> Bool # (/=) :: CreateTunedModelMetadata -> CreateTunedModelMetadata -> Bool #

mkCreateTunedModelMetadata :: CreateTunedModelMetadata Source #

Construct a value of type CreateTunedModelMetadata (by applying it's required fields, if any)

CreateTunedModelOperation

data CreateTunedModelOperation Source #

CreateTunedModelOperation This resource represents a long-running operation where metadata and response fields are strongly typed.

Constructors

CreateTunedModelOperation

Fields

createTunedModelOperationDone :: !(Maybe Bool)
"done" - 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.
createTunedModelOperationName :: !(Maybe Text)
"name" - 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}`.
createTunedModelOperationError :: !(Maybe Status)
"error" - The error result of the operation in case of failure or cancellation.
createTunedModelOperationMetadata :: !(Maybe CreateTunedModelMetadata)
"metadata"
createTunedModelOperationResponse :: !(Maybe TunedModel)
"response"

Instances

Instances details

FromJSON CreateTunedModelOperation Source #	FromJSON CreateTunedModelOperation
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CreateTunedModelOperation # parseJSONList :: Value -> Parser [CreateTunedModelOperation] # omittedField :: Maybe CreateTunedModelOperation #
ToJSON CreateTunedModelOperation Source #	ToJSON CreateTunedModelOperation
Instance details Defined in GenAI.Client.Model Methods toJSON :: CreateTunedModelOperation -> Value # toEncoding :: CreateTunedModelOperation -> Encoding # toJSONList :: [CreateTunedModelOperation] -> Value # toEncodingList :: [CreateTunedModelOperation] -> Encoding # omitField :: CreateTunedModelOperation -> Bool #
Show CreateTunedModelOperation Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CreateTunedModelOperation -> ShowS # show :: CreateTunedModelOperation -> String # showList :: [CreateTunedModelOperation] -> ShowS #
Eq CreateTunedModelOperation Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CreateTunedModelOperation -> CreateTunedModelOperation -> Bool # (/=) :: CreateTunedModelOperation -> CreateTunedModelOperation -> Bool #

mkCreateTunedModelOperation :: CreateTunedModelOperation Source #

Construct a value of type CreateTunedModelOperation (by applying it's required fields, if any)

CustomMetadata

data CustomMetadata Source #

CustomMetadata User provided metadata stored as key-value pairs.

Constructors

CustomMetadata

Fields

customMetadataStringListValue :: !(Maybe StringList)
"stringListValue" - The StringList value of the metadata to store.
customMetadataStringValue :: !(Maybe Text)
"stringValue" - The string value of the metadata to store.
customMetadataKey :: !Text
Required "key" - Required. The key of the metadata to store.
customMetadataNumericValue :: !(Maybe Float)
"numericValue" - The numeric value of the metadata to store.

Instances

Instances details

FromJSON CustomMetadata Source #	FromJSON CustomMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser CustomMetadata # parseJSONList :: Value -> Parser [CustomMetadata] # omittedField :: Maybe CustomMetadata #
ToJSON CustomMetadata Source #	ToJSON CustomMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: CustomMetadata -> Value # toEncoding :: CustomMetadata -> Encoding # toJSONList :: [CustomMetadata] -> Value # toEncodingList :: [CustomMetadata] -> Encoding # omitField :: CustomMetadata -> Bool #
Show CustomMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> CustomMetadata -> ShowS # show :: CustomMetadata -> String # showList :: [CustomMetadata] -> ShowS #
Eq CustomMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: CustomMetadata -> CustomMetadata -> Bool # (/=) :: CustomMetadata -> CustomMetadata -> Bool #

mkCustomMetadata Source #

Arguments

:: Text	`customMetadataKey`: Required. The key of the metadata to store.
-> CustomMetadata

Construct a value of type CustomMetadata (by applying it's required fields, if any)

Dataset

data Dataset Source #

Dataset Dataset for training or validation.

Constructors

Dataset
Fields datasetExamples :: !(Maybe TuningExamples) "examples" - Optional. Inline examples with simple input/output text.

Instances

Instances details

FromJSON Dataset Source #	FromJSON Dataset
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Dataset # parseJSONList :: Value -> Parser [Dataset] # omittedField :: Maybe Dataset #
ToJSON Dataset Source #	ToJSON Dataset
Instance details Defined in GenAI.Client.Model Methods toJSON :: Dataset -> Value # toEncoding :: Dataset -> Encoding # toJSONList :: [Dataset] -> Value # toEncodingList :: [Dataset] -> Encoding # omitField :: Dataset -> Bool #
Show Dataset Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Dataset -> ShowS # show :: Dataset -> String # showList :: [Dataset] -> ShowS #
Eq Dataset Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Dataset -> Dataset -> Bool # (/=) :: Dataset -> Dataset -> Bool #

mkDataset :: Dataset Source #

Construct a value of type Dataset (by applying it's required fields, if any)

DeleteChunkRequest

data DeleteChunkRequest Source #

DeleteChunkRequest Request to delete a Chunk.

Constructors

DeleteChunkRequest
Fields deleteChunkRequestName :: !Text Required "name" - Required. The resource name of the `Chunk` to delete. Example: `corporamy-corpus-123documentsthe-doc-abcchunks/some-chunk`

Instances

Instances details

FromJSON DeleteChunkRequest Source #	FromJSON DeleteChunkRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser DeleteChunkRequest # parseJSONList :: Value -> Parser [DeleteChunkRequest] # omittedField :: Maybe DeleteChunkRequest #
ToJSON DeleteChunkRequest Source #	ToJSON DeleteChunkRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: DeleteChunkRequest -> Value # toEncoding :: DeleteChunkRequest -> Encoding # toJSONList :: [DeleteChunkRequest] -> Value # toEncodingList :: [DeleteChunkRequest] -> Encoding # omitField :: DeleteChunkRequest -> Bool #
Show DeleteChunkRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> DeleteChunkRequest -> ShowS # show :: DeleteChunkRequest -> String # showList :: [DeleteChunkRequest] -> ShowS #
Eq DeleteChunkRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: DeleteChunkRequest -> DeleteChunkRequest -> Bool # (/=) :: DeleteChunkRequest -> DeleteChunkRequest -> Bool #

mkDeleteChunkRequest Source #

Arguments

:: Text	`deleteChunkRequestName`: Required. The resource name of the `Chunk` to delete. Example: `corporamy-corpus-123documentsthe-doc-abcchunks/some-chunk`
-> DeleteChunkRequest

Construct a value of type DeleteChunkRequest (by applying it's required fields, if any)

Document

data Document Source #

Document A Document is a collection of Chunks. A Corpus can have a maximum of 10,000 Documents.

Constructors

Document

Fields

documentUpdateTime :: !(Maybe DateTime)
ReadOnly "updateTime" - Output only. The Timestamp of when the `Document` was last updated.
documentName :: !(Maybe Text)
"name" - Immutable. Identifier. The `Document` resource name. The ID (name excluding the "corpora*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: `corpora{corpus_id}documentsmy-awesome-doc-123a456b789c`
documentCustomMetadata :: !(Maybe [CustomMetadata])
"customMetadata" - Optional. User provided custom metadata stored as key-value pairs used for querying. A `Document` can have a maximum of 20 `CustomMetadata`.
documentCreateTime :: !(Maybe DateTime)
ReadOnly "createTime" - Output only. The Timestamp of when the `Document` was created.
documentDisplayName :: !(Maybe Text)
"displayName" - 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"

Instances

Instances details

FromJSON Document Source #	FromJSON Document
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Document # parseJSONList :: Value -> Parser [Document] # omittedField :: Maybe Document #
ToJSON Document Source #	ToJSON Document
Instance details Defined in GenAI.Client.Model Methods toJSON :: Document -> Value # toEncoding :: Document -> Encoding # toJSONList :: [Document] -> Value # toEncodingList :: [Document] -> Encoding # omitField :: Document -> Bool #
Show Document Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Document -> ShowS # show :: Document -> String # showList :: [Document] -> ShowS #
Eq Document Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Document -> Document -> Bool # (/=) :: Document -> Document -> Bool #
HasBodyParam CreateDocument Document Source #	Body Param Document - Required. The `Document` to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreateDocument contentType, MimeRender contentType Document) => ClientRequest CreateDocument contentType res accept -> Document -> ClientRequest CreateDocument contentType res accept Source #
HasBodyParam UpdateDocument Document Source #	Body Param Document - Required. The `Document` to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdateDocument contentType, MimeRender contentType Document) => ClientRequest UpdateDocument contentType res accept -> Document -> ClientRequest UpdateDocument contentType res accept Source #

mkDocument :: Document Source #

Construct a value of type Document (by applying it's required fields, if any)

DynamicRetrievalConfig

data DynamicRetrievalConfig Source #

DynamicRetrievalConfig Describes the options to customize dynamic retrieval.

Constructors

DynamicRetrievalConfig
Fields dynamicRetrievalConfigDynamicThreshold :: !(Maybe Float) "dynamicThreshold" - The threshold to be used in dynamic retrieval. If not set, a system default value is used. dynamicRetrievalConfigMode :: !(Maybe E'Mode) "mode" - The mode of the predictor to be used in dynamic retrieval.

Instances

Instances details

FromJSON DynamicRetrievalConfig Source #	FromJSON DynamicRetrievalConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser DynamicRetrievalConfig # parseJSONList :: Value -> Parser [DynamicRetrievalConfig] # omittedField :: Maybe DynamicRetrievalConfig #
ToJSON DynamicRetrievalConfig Source #	ToJSON DynamicRetrievalConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: DynamicRetrievalConfig -> Value # toEncoding :: DynamicRetrievalConfig -> Encoding # toJSONList :: [DynamicRetrievalConfig] -> Value # toEncodingList :: [DynamicRetrievalConfig] -> Encoding # omitField :: DynamicRetrievalConfig -> Bool #
Show DynamicRetrievalConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> DynamicRetrievalConfig -> ShowS # show :: DynamicRetrievalConfig -> String # showList :: [DynamicRetrievalConfig] -> ShowS #
Eq DynamicRetrievalConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: DynamicRetrievalConfig -> DynamicRetrievalConfig -> Bool # (/=) :: DynamicRetrievalConfig -> DynamicRetrievalConfig -> Bool #

mkDynamicRetrievalConfig :: DynamicRetrievalConfig Source #

Construct a value of type DynamicRetrievalConfig (by applying it's required fields, if any)

EmbedContentRequest

data EmbedContentRequest Source #

EmbedContentRequest Request containing the Content for the model to embed.

Constructors

EmbedContentRequest

Fields

embedContentRequestTaskType :: !(Maybe TaskType)
"taskType" - Optional. Optional task type for which the embeddings will be used. Not supported on earlier models (`models/embedding-001`).
embedContentRequestContent :: !Content
Required "content" - Required. The content to embed. Only the `parts.text` fields will be counted.
embedContentRequestOutputDimensionality :: !(Maybe Int)
"outputDimensionality" - Optional. Optional reduced dimension for the output embedding. If set, excessive values in the output embedding are truncated from the end. Supported by newer models since 2024 only. You cannot set this value if using the earlier model (`models/embedding-001`).
embedContentRequestModel :: !Text
Required "model" - 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}`
embedContentRequestTitle :: !(Maybe Text)
"title" - Optional. An optional title for the text. Only applicable when TaskType is `RETRIEVAL_DOCUMENT`. Note: Specifying a `title` for `RETRIEVAL_DOCUMENT` provides better quality embeddings for retrieval.

Instances

Instances details

FromJSON EmbedContentRequest Source #	FromJSON EmbedContentRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser EmbedContentRequest # parseJSONList :: Value -> Parser [EmbedContentRequest] # omittedField :: Maybe EmbedContentRequest #
ToJSON EmbedContentRequest Source #	ToJSON EmbedContentRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: EmbedContentRequest -> Value # toEncoding :: EmbedContentRequest -> Encoding # toJSONList :: [EmbedContentRequest] -> Value # toEncodingList :: [EmbedContentRequest] -> Encoding # omitField :: EmbedContentRequest -> Bool #
Show EmbedContentRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> EmbedContentRequest -> ShowS # show :: EmbedContentRequest -> String # showList :: [EmbedContentRequest] -> ShowS #
Eq EmbedContentRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: EmbedContentRequest -> EmbedContentRequest -> Bool # (/=) :: EmbedContentRequest -> EmbedContentRequest -> Bool #
HasBodyParam EmbedContent EmbedContentRequest Source #	Body Param EmbedContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes EmbedContent contentType, MimeRender contentType EmbedContentRequest) => ClientRequest EmbedContent contentType res accept -> EmbedContentRequest -> ClientRequest EmbedContent contentType res accept Source #

mkEmbedContentRequest Source #

Arguments

:: Content	`embedContentRequestContent`: Required. The content to embed. Only the `parts.text` fields will be counted.
-> Text	`embedContentRequestModel`: 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}`
-> EmbedContentRequest

Construct a value of type EmbedContentRequest (by applying it's required fields, if any)

EmbedContentResponse

data EmbedContentResponse Source #

EmbedContentResponse The response to an EmbedContentRequest.

Constructors

EmbedContentResponse
Fields embedContentResponseEmbedding :: !(Maybe ContentEmbedding) ReadOnly "embedding" - Output only. The embedding generated from the input content.

Instances

Instances details

FromJSON EmbedContentResponse Source #	FromJSON EmbedContentResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser EmbedContentResponse # parseJSONList :: Value -> Parser [EmbedContentResponse] # omittedField :: Maybe EmbedContentResponse #
ToJSON EmbedContentResponse Source #	ToJSON EmbedContentResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: EmbedContentResponse -> Value # toEncoding :: EmbedContentResponse -> Encoding # toJSONList :: [EmbedContentResponse] -> Value # toEncodingList :: [EmbedContentResponse] -> Encoding # omitField :: EmbedContentResponse -> Bool #
Show EmbedContentResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> EmbedContentResponse -> ShowS # show :: EmbedContentResponse -> String # showList :: [EmbedContentResponse] -> ShowS #
Eq EmbedContentResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: EmbedContentResponse -> EmbedContentResponse -> Bool # (/=) :: EmbedContentResponse -> EmbedContentResponse -> Bool #

mkEmbedContentResponse :: EmbedContentResponse Source #

Construct a value of type EmbedContentResponse (by applying it's required fields, if any)

EmbedTextRequest

data EmbedTextRequest Source #

EmbedTextRequest Request to get a text embedding from the model.

Constructors

EmbedTextRequest
Fields embedTextRequestText :: !(Maybe Text) "text" - Optional. The free-form input text that the model will turn into an embedding. embedTextRequestModel :: !Text Required "model" - Required. The model name to use with the format model=models/{model}.

Instances

Instances details

FromJSON EmbedTextRequest Source #	FromJSON EmbedTextRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser EmbedTextRequest # parseJSONList :: Value -> Parser [EmbedTextRequest] # omittedField :: Maybe EmbedTextRequest #
ToJSON EmbedTextRequest Source #	ToJSON EmbedTextRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: EmbedTextRequest -> Value # toEncoding :: EmbedTextRequest -> Encoding # toJSONList :: [EmbedTextRequest] -> Value # toEncodingList :: [EmbedTextRequest] -> Encoding # omitField :: EmbedTextRequest -> Bool #
Show EmbedTextRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> EmbedTextRequest -> ShowS # show :: EmbedTextRequest -> String # showList :: [EmbedTextRequest] -> ShowS #
Eq EmbedTextRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: EmbedTextRequest -> EmbedTextRequest -> Bool # (/=) :: EmbedTextRequest -> EmbedTextRequest -> Bool #
HasBodyParam EmbedText EmbedTextRequest Source #	Body Param EmbedTextRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes EmbedText contentType, MimeRender contentType EmbedTextRequest) => ClientRequest EmbedText contentType res accept -> EmbedTextRequest -> ClientRequest EmbedText contentType res accept Source #

mkEmbedTextRequest Source #

Arguments

:: Text	`embedTextRequestModel`: Required. The model name to use with the format model=models/{model}.
-> EmbedTextRequest

Construct a value of type EmbedTextRequest (by applying it's required fields, if any)

EmbedTextResponse

data EmbedTextResponse Source #

EmbedTextResponse The response to a EmbedTextRequest.

Constructors

EmbedTextResponse
Fields embedTextResponseEmbedding :: !(Maybe Embedding) ReadOnly "embedding" - Output only. The embedding generated from the input text.

Instances

Instances details

FromJSON EmbedTextResponse Source #	FromJSON EmbedTextResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser EmbedTextResponse # parseJSONList :: Value -> Parser [EmbedTextResponse] # omittedField :: Maybe EmbedTextResponse #
ToJSON EmbedTextResponse Source #	ToJSON EmbedTextResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: EmbedTextResponse -> Value # toEncoding :: EmbedTextResponse -> Encoding # toJSONList :: [EmbedTextResponse] -> Value # toEncodingList :: [EmbedTextResponse] -> Encoding # omitField :: EmbedTextResponse -> Bool #
Show EmbedTextResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> EmbedTextResponse -> ShowS # show :: EmbedTextResponse -> String # showList :: [EmbedTextResponse] -> ShowS #
Eq EmbedTextResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: EmbedTextResponse -> EmbedTextResponse -> Bool # (/=) :: EmbedTextResponse -> EmbedTextResponse -> Bool #

mkEmbedTextResponse :: EmbedTextResponse Source #

Construct a value of type EmbedTextResponse (by applying it's required fields, if any)

Embedding

data Embedding Source #

Embedding A list of floats representing the embedding.

Constructors

Embedding
Fields embeddingValue :: !(Maybe [Float]) "value" - The embedding values.

Instances

Instances details

FromJSON Embedding Source #	FromJSON Embedding
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Embedding # parseJSONList :: Value -> Parser [Embedding] # omittedField :: Maybe Embedding #
ToJSON Embedding Source #	ToJSON Embedding
Instance details Defined in GenAI.Client.Model Methods toJSON :: Embedding -> Value # toEncoding :: Embedding -> Encoding # toJSONList :: [Embedding] -> Value # toEncodingList :: [Embedding] -> Encoding # omitField :: Embedding -> Bool #
Show Embedding Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Embedding -> ShowS # show :: Embedding -> String # showList :: [Embedding] -> ShowS #
Eq Embedding Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Embedding -> Embedding -> Bool # (/=) :: Embedding -> Embedding -> Bool #

mkEmbedding :: Embedding Source #

Construct a value of type Embedding (by applying it's required fields, if any)

Example

data Example Source #

Example An input/output example used to instruct the Model. It demonstrates how the model should respond or format its response.

Constructors

Example
Fields exampleOutput :: !Message Required "output" - Required. An example of what the model should output given the input. exampleInput :: !Message Required "input" - Required. An example of an input `Message` from the user.

Instances

Instances details

FromJSON Example Source #	FromJSON Example
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Example # parseJSONList :: Value -> Parser [Example] # omittedField :: Maybe Example #
ToJSON Example Source #	ToJSON Example
Instance details Defined in GenAI.Client.Model Methods toJSON :: Example -> Value # toEncoding :: Example -> Encoding # toJSONList :: [Example] -> Value # toEncodingList :: [Example] -> Encoding # omitField :: Example -> Bool #
Show Example Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Example -> ShowS # show :: Example -> String # showList :: [Example] -> ShowS #
Eq Example Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Example -> Example -> Bool # (/=) :: Example -> Example -> Bool #

mkExample Source #

Arguments

:: Message	`exampleOutput`: Required. An example of what the model should output given the input.
-> Message	`exampleInput`: Required. An example of an input `Message` from the user.
-> Example

Construct a value of type Example (by applying it's required fields, if any)

ExecutableCode

data ExecutableCode Source #

ExecutableCode 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.

Constructors

ExecutableCode
Fields executableCodeLanguage :: !E'Language Required "language" - Required. Programming language of the `code`. executableCodeCode :: !Text Required "code" - Required. The code to be executed.

Instances

Instances details

FromJSON ExecutableCode Source #	FromJSON ExecutableCode
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ExecutableCode # parseJSONList :: Value -> Parser [ExecutableCode] # omittedField :: Maybe ExecutableCode #
ToJSON ExecutableCode Source #	ToJSON ExecutableCode
Instance details Defined in GenAI.Client.Model Methods toJSON :: ExecutableCode -> Value # toEncoding :: ExecutableCode -> Encoding # toJSONList :: [ExecutableCode] -> Value # toEncodingList :: [ExecutableCode] -> Encoding # omitField :: ExecutableCode -> Bool #
Show ExecutableCode Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ExecutableCode -> ShowS # show :: ExecutableCode -> String # showList :: [ExecutableCode] -> ShowS #
Eq ExecutableCode Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ExecutableCode -> ExecutableCode -> Bool # (/=) :: ExecutableCode -> ExecutableCode -> Bool #

mkExecutableCode Source #

Arguments

:: E'Language	`executableCodeLanguage`: Required. Programming language of the `code`.
-> Text	`executableCodeCode`: Required. The code to be executed.
-> ExecutableCode

Construct a value of type ExecutableCode (by applying it's required fields, if any)

File

data File Source #

File A file uploaded to the API. Next ID: 15

Constructors

File

Fields

fileUri :: !(Maybe Text)
ReadOnly "uri" - Output only. The uri of the `File`.
fileName :: !(Maybe Text)
"name" - 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: `files123-456`
fileExpirationTime :: !(Maybe DateTime)
ReadOnly "expirationTime" - Output only. The timestamp of when the `File` will be deleted. Only set if the `File` is scheduled to expire.
fileDisplayName :: !(Maybe Text)
"displayName" - 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"
fileVideoMetadata :: !(Maybe VideoFileMetadata)
ReadOnly "videoMetadata" - Output only. Metadata for a video.
fileState :: !(Maybe E'State)
ReadOnly "state" - Output only. Processing state of the File.
fileSource :: !(Maybe E'Source)
"source" - Source of the File.
fileMimeType :: !(Maybe Text)
ReadOnly "mimeType" - Output only. MIME type of the file.
fileCreateTime :: !(Maybe DateTime)
ReadOnly "createTime" - Output only. The timestamp of when the `File` was created.
fileError :: !(Maybe Status)
ReadOnly "error" - Output only. Error status if File processing failed.
fileDownloadUri :: !(Maybe Text)
ReadOnly "downloadUri" - Output only. The download uri of the `File`.
fileSizeBytes :: !(Maybe Text)
ReadOnly "sizeBytes" - Output only. Size of the file in bytes.
fileSha256Hash :: !(Maybe ByteArray)
ReadOnly "sha256Hash" - Output only. SHA-256 hash of the uploaded bytes.
fileUpdateTime :: !(Maybe DateTime)
ReadOnly "updateTime" - Output only. The timestamp of when the `File` was last updated.

Instances

Instances details

FromJSON File Source #	FromJSON File
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser File # parseJSONList :: Value -> Parser [File] # omittedField :: Maybe File #
ToJSON File Source #	ToJSON File
Instance details Defined in GenAI.Client.Model Methods toJSON :: File -> Value # toEncoding :: File -> Encoding # toJSONList :: [File] -> Value # toEncodingList :: [File] -> Encoding # omitField :: File -> Bool #
Show File Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> File -> ShowS # show :: File -> String # showList :: [File] -> ShowS #
Eq File Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: File -> File -> Bool # (/=) :: File -> File -> Bool #

mkFile :: File Source #

Construct a value of type File (by applying it's required fields, if any)

FileData

data FileData Source #

FileData URI based data.

Constructors

FileData
Fields fileDataMimeType :: !(Maybe Text) "mimeType" - Optional. The IANA standard MIME type of the source data. fileDataFileUri :: !Text Required "fileUri" - Required. URI.

Instances

Instances details

FromJSON FileData Source #	FromJSON FileData
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser FileData # parseJSONList :: Value -> Parser [FileData] # omittedField :: Maybe FileData #
ToJSON FileData Source #	ToJSON FileData
Instance details Defined in GenAI.Client.Model Methods toJSON :: FileData -> Value # toEncoding :: FileData -> Encoding # toJSONList :: [FileData] -> Value # toEncodingList :: [FileData] -> Encoding # omitField :: FileData -> Bool #
Show FileData Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> FileData -> ShowS # show :: FileData -> String # showList :: [FileData] -> ShowS #
Eq FileData Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: FileData -> FileData -> Bool # (/=) :: FileData -> FileData -> Bool #

mkFileData Source #

Arguments

:: Text	`fileDataFileUri`: Required. URI.
-> FileData

Construct a value of type FileData (by applying it's required fields, if any)

FunctionCall

data FunctionCall Source #

FunctionCall A predicted FunctionCall returned from the model that contains a string representing the name with the arguments and their values.

Constructors

FunctionCall

Fields

functionCallArgs :: !(Maybe (Map String String))
"args" - Optional. The function parameters and values in JSON object format.
functionCallId :: !(Maybe Text)
"id" - Optional. The unique id of the function call. If populated, the client to execute the `function_call` and return the response with the matching `id`.
functionCallName :: !Text
Required "name" - 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 63.

Instances

Instances details

FromJSON FunctionCall Source #	FromJSON FunctionCall
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser FunctionCall # parseJSONList :: Value -> Parser [FunctionCall] # omittedField :: Maybe FunctionCall #
ToJSON FunctionCall Source #	ToJSON FunctionCall
Instance details Defined in GenAI.Client.Model Methods toJSON :: FunctionCall -> Value # toEncoding :: FunctionCall -> Encoding # toJSONList :: [FunctionCall] -> Value # toEncodingList :: [FunctionCall] -> Encoding # omitField :: FunctionCall -> Bool #
Show FunctionCall Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> FunctionCall -> ShowS # show :: FunctionCall -> String # showList :: [FunctionCall] -> ShowS #
Eq FunctionCall Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: FunctionCall -> FunctionCall -> Bool # (/=) :: FunctionCall -> FunctionCall -> Bool #

mkFunctionCall Source #

Arguments

:: Text	`functionCallName`: 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 63.
-> FunctionCall

Construct a value of type FunctionCall (by applying it's required fields, if any)

FunctionCallingConfig

data FunctionCallingConfig Source #

FunctionCallingConfig Configuration for specifying function calling behavior.

Constructors

FunctionCallingConfig

Fields

functionCallingConfigMode :: !(Maybe E'Mode2)
"mode" - Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.
functionCallingConfigAllowedFunctionNames :: !(Maybe [Text])
"allowedFunctionNames" - 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. Function names should match [FunctionDeclaration.name]. With mode set to ANY, model will predict a function call from the set of function names provided.

Instances

Instances details

FromJSON FunctionCallingConfig Source #	FromJSON FunctionCallingConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser FunctionCallingConfig # parseJSONList :: Value -> Parser [FunctionCallingConfig] # omittedField :: Maybe FunctionCallingConfig #
ToJSON FunctionCallingConfig Source #	ToJSON FunctionCallingConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: FunctionCallingConfig -> Value # toEncoding :: FunctionCallingConfig -> Encoding # toJSONList :: [FunctionCallingConfig] -> Value # toEncodingList :: [FunctionCallingConfig] -> Encoding # omitField :: FunctionCallingConfig -> Bool #
Show FunctionCallingConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> FunctionCallingConfig -> ShowS # show :: FunctionCallingConfig -> String # showList :: [FunctionCallingConfig] -> ShowS #
Eq FunctionCallingConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: FunctionCallingConfig -> FunctionCallingConfig -> Bool # (/=) :: FunctionCallingConfig -> FunctionCallingConfig -> Bool #

mkFunctionCallingConfig :: FunctionCallingConfig Source #

Construct a value of type FunctionCallingConfig (by applying it's required fields, if any)

FunctionDeclaration

data FunctionDeclaration Source #

FunctionDeclaration Structured representation of a function declaration as defined by the OpenAPI 3.03 specification. 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.

Constructors

FunctionDeclaration

Fields

functionDeclarationParameters :: !(Maybe Schema)
"parameters" - 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.
functionDeclarationName :: !Text
Required "name" - Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 63.
functionDeclarationBehavior :: !(Maybe E'Behavior)
"behavior" - Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.
functionDeclarationDescription :: !Text
Required "description" - Required. A brief description of the function.
functionDeclarationResponse :: !(Maybe Schema)
"response" - 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.
functionDeclarationResponseJsonSchema :: !(Maybe String)
"responseJsonSchema" - 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`.
functionDeclarationParametersJsonSchema :: !(Maybe String)
"parametersJsonSchema" - 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`.

Instances

Instances details

FromJSON FunctionDeclaration Source #	FromJSON FunctionDeclaration
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser FunctionDeclaration # parseJSONList :: Value -> Parser [FunctionDeclaration] # omittedField :: Maybe FunctionDeclaration #
ToJSON FunctionDeclaration Source #	ToJSON FunctionDeclaration
Instance details Defined in GenAI.Client.Model Methods toJSON :: FunctionDeclaration -> Value # toEncoding :: FunctionDeclaration -> Encoding # toJSONList :: [FunctionDeclaration] -> Value # toEncodingList :: [FunctionDeclaration] -> Encoding # omitField :: FunctionDeclaration -> Bool #
Show FunctionDeclaration Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> FunctionDeclaration -> ShowS # show :: FunctionDeclaration -> String # showList :: [FunctionDeclaration] -> ShowS #
Eq FunctionDeclaration Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: FunctionDeclaration -> FunctionDeclaration -> Bool # (/=) :: FunctionDeclaration -> FunctionDeclaration -> Bool #

mkFunctionDeclaration Source #

Arguments

:: Text	`functionDeclarationName`: Required. The name of the function. Must be a-z, A-Z, 0-9, or contain underscores and dashes, with a maximum length of 63.
-> Text	`functionDeclarationDescription`: Required. A brief description of the function.
-> FunctionDeclaration

Construct a value of type FunctionDeclaration (by applying it's required fields, if any)

FunctionResponse

data FunctionResponse Source #

FunctionResponse The result output from a FunctionCall that contains a string representing the 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 aFunctionCall made based on model prediction.

Constructors

FunctionResponse

Fields

functionResponseScheduling :: !(Maybe E'Scheduling)
"scheduling" - 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.
functionResponseId :: !(Maybe Text)
"id" - Optional. The id of the function call this response is for. Populated by the client to match the corresponding function call `id`.
functionResponseWillContinue :: !(Maybe Bool)
"willContinue" - 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`.
functionResponseName :: !Text
Required "name" - 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 63.
functionResponseResponse :: !(Map String String)
Required "response" - Required. The function response in JSON object format.

Instances

Instances details

FromJSON FunctionResponse Source #	FromJSON FunctionResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser FunctionResponse # parseJSONList :: Value -> Parser [FunctionResponse] # omittedField :: Maybe FunctionResponse #
ToJSON FunctionResponse Source #	ToJSON FunctionResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: FunctionResponse -> Value # toEncoding :: FunctionResponse -> Encoding # toJSONList :: [FunctionResponse] -> Value # toEncodingList :: [FunctionResponse] -> Encoding # omitField :: FunctionResponse -> Bool #
Show FunctionResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> FunctionResponse -> ShowS # show :: FunctionResponse -> String # showList :: [FunctionResponse] -> ShowS #
Eq FunctionResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: FunctionResponse -> FunctionResponse -> Bool # (/=) :: FunctionResponse -> FunctionResponse -> Bool #

mkFunctionResponse Source #

Arguments

:: Text	`functionResponseName`: 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 63.
-> Map String String	`functionResponseResponse`: Required. The function response in JSON object format.
-> FunctionResponse

Construct a value of type FunctionResponse (by applying it's required fields, if any)

GenerateAnswerRequest

data GenerateAnswerRequest Source #

GenerateAnswerRequest Request to generate a grounded answer from the Model.

Constructors

GenerateAnswerRequest

Fields

generateAnswerRequestSemanticRetriever :: !(Maybe SemanticRetrieverConfig)
"semanticRetriever" - Content retrieved from resources created via the Semantic Retriever API.
generateAnswerRequestTemperature :: !(Maybe Float)
"temperature" - Optional. Controls the randomness of the output. Values can range from [0.0,1.0], inclusive. A value closer to 1.0 will produce responses that are more varied and creative, while a value closer to 0.0 will typically result in more straightforward responses from the model. A low temperature (~0.2) is usually recommended for Attributed-Question-Answering use cases.
generateAnswerRequestAnswerStyle :: !E'AnswerStyle
Required "answerStyle" - Required. Style in which answers should be returned.
generateAnswerRequestContents :: ![Content]
Required "contents" - Required. The content of the current conversation with the `Model`. For single-turn queries, this is a single question to answer. For multi-turn queries, this is a repeated field that contains conversation history and the last `Content` in the list containing the question. Note: `GenerateAnswer` only supports queries in English.
generateAnswerRequestSafetySettings :: !(Maybe [SafetySetting])
"safetySettings" - Optional. A list of unique `SafetySetting` instances for blocking unsafe content. This will be enforced on the `GenerateAnswerRequest.contents` and `GenerateAnswerResponse.candidate`. 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 are supported. Refer to the guide for detailed information on available safety settings. Also refer to the Safety guidance to learn how to incorporate safety considerations in your AI applications.
generateAnswerRequestInlinePassages :: !(Maybe GroundingPassages)
"inlinePassages" - Passages provided inline with the request.

Instances

Instances details

FromJSON GenerateAnswerRequest Source #	FromJSON GenerateAnswerRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateAnswerRequest # parseJSONList :: Value -> Parser [GenerateAnswerRequest] # omittedField :: Maybe GenerateAnswerRequest #
ToJSON GenerateAnswerRequest Source #	ToJSON GenerateAnswerRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateAnswerRequest -> Value # toEncoding :: GenerateAnswerRequest -> Encoding # toJSONList :: [GenerateAnswerRequest] -> Value # toEncodingList :: [GenerateAnswerRequest] -> Encoding # omitField :: GenerateAnswerRequest -> Bool #
Show GenerateAnswerRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateAnswerRequest -> ShowS # show :: GenerateAnswerRequest -> String # showList :: [GenerateAnswerRequest] -> ShowS #
Eq GenerateAnswerRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateAnswerRequest -> GenerateAnswerRequest -> Bool # (/=) :: GenerateAnswerRequest -> GenerateAnswerRequest -> Bool #
HasBodyParam GenerateAnswer GenerateAnswerRequest Source #	Body Param GenerateAnswerRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateAnswer contentType, MimeRender contentType GenerateAnswerRequest) => ClientRequest GenerateAnswer contentType res accept -> GenerateAnswerRequest -> ClientRequest GenerateAnswer contentType res accept Source #

mkGenerateAnswerRequest Source #

Arguments

:: E'AnswerStyle	`generateAnswerRequestAnswerStyle`: Required. Style in which answers should be returned.
-> [Content]	`generateAnswerRequestContents`: Required. The content of the current conversation with the `Model`. For single-turn queries, this is a single question to answer. For multi-turn queries, this is a repeated field that contains conversation history and the last `Content` in the list containing the question. Note: `GenerateAnswer` only supports queries in English.
-> GenerateAnswerRequest

Construct a value of type GenerateAnswerRequest (by applying it's required fields, if any)

GenerateAnswerResponse

data GenerateAnswerResponse Source #

GenerateAnswerResponse Response from the model for a grounded answer.

Constructors

GenerateAnswerResponse

Fields

generateAnswerResponseAnswer :: !(Maybe Candidate)
"answer" - Candidate answer from the model. Note: The model *always* attempts to provide a grounded answer, even when the answer is unlikely to be answerable from the given passages. In that case, a low-quality or ungrounded answer may be provided, along with a low `answerable_probability`.
generateAnswerResponseInputFeedback :: !(Maybe InputFeedback)
ReadOnly "inputFeedback" - Output only. Feedback related to the input data used to answer the question, as opposed to the model-generated response to the question. The input data can be one or more of the following: - Question specified by the last entry in `GenerateAnswerRequest.content` - Conversation history specified by the other entries in `GenerateAnswerRequest.content` - Grounding sources (`GenerateAnswerRequest.semantic_retriever` or `GenerateAnswerRequest.inline_passages`)
generateAnswerResponseAnswerableProbability :: !(Maybe Float)
ReadOnly "answerableProbability" - Output only. The model's estimate of the probability that its answer is correct and grounded in the input passages. A low `answerable_probability` indicates that the answer might not be grounded in the sources. When `answerable_probability` is low, you may want to: * Display a message to the effect of "We couldn’t answer that question" to the user. * Fall back to a general-purpose LLM that answers the question from world knowledge. The threshold and nature of such fallbacks will depend on individual use cases. `0.5` is a good starting threshold.

Instances

Instances details

FromJSON GenerateAnswerResponse Source #	FromJSON GenerateAnswerResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateAnswerResponse # parseJSONList :: Value -> Parser [GenerateAnswerResponse] # omittedField :: Maybe GenerateAnswerResponse #
ToJSON GenerateAnswerResponse Source #	ToJSON GenerateAnswerResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateAnswerResponse -> Value # toEncoding :: GenerateAnswerResponse -> Encoding # toJSONList :: [GenerateAnswerResponse] -> Value # toEncodingList :: [GenerateAnswerResponse] -> Encoding # omitField :: GenerateAnswerResponse -> Bool #
Show GenerateAnswerResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateAnswerResponse -> ShowS # show :: GenerateAnswerResponse -> String # showList :: [GenerateAnswerResponse] -> ShowS #
Eq GenerateAnswerResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateAnswerResponse -> GenerateAnswerResponse -> Bool # (/=) :: GenerateAnswerResponse -> GenerateAnswerResponse -> Bool #

mkGenerateAnswerResponse :: GenerateAnswerResponse Source #

Construct a value of type GenerateAnswerResponse (by applying it's required fields, if any)

GenerateContentRequest

data GenerateContentRequest Source #

GenerateContentRequest Request to generate a completion from the model. NEXT ID: 13

Constructors

GenerateContentRequest

Fields

generateContentRequestToolConfig :: !(Maybe ToolConfig)
"toolConfig" - Optional. Tool configuration for any `Tool` specified in the request. Refer to the Function calling guide for a usage example.
generateContentRequestTools :: !(Maybe [Tool])
"tools" - 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 and the Code execution guides to learn more.
generateContentRequestContents :: ![Content]
Required "contents" - 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, this is a repeated field that contains the conversation history and the latest request.
generateContentRequestSystemInstruction :: !(Maybe Content)
"systemInstruction" - Optional. Developer set system instruction(s). Currently, text only.
generateContentRequestCachedContent :: !(Maybe Text)
"cachedContent" - Optional. The name of the content cached to use as context to serve the prediction. Format: `cachedContents/{cachedContent}`
generateContentRequestSafetySettings :: !(Maybe [SafetySetting])
"safetySettings" - 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 for detailed information on available safety settings. Also refer to the Safety guidance to learn how to incorporate safety considerations in your AI applications.
generateContentRequestModel :: !Text
Required "model" - Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.
generateContentRequestGenerationConfig :: !(Maybe GenerationConfig)
"generationConfig" - Optional. Configuration options for model generation and outputs.

Instances

Instances details

FromJSON GenerateContentRequest Source #	FromJSON GenerateContentRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateContentRequest # parseJSONList :: Value -> Parser [GenerateContentRequest] # omittedField :: Maybe GenerateContentRequest #
ToJSON GenerateContentRequest Source #	ToJSON GenerateContentRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateContentRequest -> Value # toEncoding :: GenerateContentRequest -> Encoding # toJSONList :: [GenerateContentRequest] -> Value # toEncodingList :: [GenerateContentRequest] -> Encoding # omitField :: GenerateContentRequest -> Bool #
Show GenerateContentRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateContentRequest -> ShowS # show :: GenerateContentRequest -> String # showList :: [GenerateContentRequest] -> ShowS #
Eq GenerateContentRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateContentRequest -> GenerateContentRequest -> Bool # (/=) :: GenerateContentRequest -> GenerateContentRequest -> Bool #
HasBodyParam GenerateContent GenerateContentRequest Source #	Body Param GenerateContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateContent contentType, MimeRender contentType GenerateContentRequest) => ClientRequest GenerateContent contentType res accept -> GenerateContentRequest -> ClientRequest GenerateContent contentType res accept Source #
HasBodyParam GenerateContentByDynamicId GenerateContentRequest Source #	Body Param GenerateContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateContentByDynamicId contentType, MimeRender contentType GenerateContentRequest) => ClientRequest GenerateContentByDynamicId contentType res accept -> GenerateContentRequest -> ClientRequest GenerateContentByDynamicId contentType res accept Source #
HasBodyParam GenerateContentByTunedModel GenerateContentRequest Source #	Body Param GenerateContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateContentByTunedModel contentType, MimeRender contentType GenerateContentRequest) => ClientRequest GenerateContentByTunedModel contentType res accept -> GenerateContentRequest -> ClientRequest GenerateContentByTunedModel contentType res accept Source #
HasBodyParam StreamGenerateContent GenerateContentRequest Source #	Body Param GenerateContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes StreamGenerateContent contentType, MimeRender contentType GenerateContentRequest) => ClientRequest StreamGenerateContent contentType res accept -> GenerateContentRequest -> ClientRequest StreamGenerateContent contentType res accept Source #
HasBodyParam StreamGenerateContentByDynamicId GenerateContentRequest Source #	Body Param GenerateContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes StreamGenerateContentByDynamicId contentType, MimeRender contentType GenerateContentRequest) => ClientRequest StreamGenerateContentByDynamicId contentType res accept -> GenerateContentRequest -> ClientRequest StreamGenerateContentByDynamicId contentType res accept Source #
HasBodyParam StreamGenerateContentByTunedModel GenerateContentRequest Source #	Body Param GenerateContentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes StreamGenerateContentByTunedModel contentType, MimeRender contentType GenerateContentRequest) => ClientRequest StreamGenerateContentByTunedModel contentType res accept -> GenerateContentRequest -> ClientRequest StreamGenerateContentByTunedModel contentType res accept Source #

mkGenerateContentRequest Source #

Arguments

:: [Content]	`generateContentRequestContents`: 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, this is a repeated field that contains the conversation history and the latest request.
-> Text	`generateContentRequestModel`: Required. The name of the `Model` to use for generating the completion. Format: `models/{model}`.
-> GenerateContentRequest

Construct a value of type GenerateContentRequest (by applying it's required fields, if any)

GenerateContentResponse

data GenerateContentResponse Source #

GenerateContentResponse Response from the model supporting multiple candidate responses. Safety ratings and content filtering are reported for both prompt in 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.

Constructors

GenerateContentResponse

Fields

generateContentResponseCandidates :: !(Maybe [Candidate])
"candidates" - Candidate responses from the model.
generateContentResponseUsageMetadata :: !(Maybe UsageMetadata)
ReadOnly "usageMetadata" - Output only. Metadata on the generation requests' token usage.
generateContentResponseModelVersion :: !(Maybe Text)
ReadOnly "modelVersion" - Output only. The model version used to generate the response.
generateContentResponsePromptFeedback :: !(Maybe PromptFeedback)
"promptFeedback" - Returns the prompt's feedback related to the content filters.
generateContentResponseResponseId :: !(Maybe Text)
ReadOnly "responseId" - Output only. response_id is used to identify each response.

Instances

Instances details

FromJSON GenerateContentResponse Source #	FromJSON GenerateContentResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateContentResponse # parseJSONList :: Value -> Parser [GenerateContentResponse] # omittedField :: Maybe GenerateContentResponse #
ToJSON GenerateContentResponse Source #	ToJSON GenerateContentResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateContentResponse -> Value # toEncoding :: GenerateContentResponse -> Encoding # toJSONList :: [GenerateContentResponse] -> Value # toEncodingList :: [GenerateContentResponse] -> Encoding # omitField :: GenerateContentResponse -> Bool #
Show GenerateContentResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateContentResponse -> ShowS # show :: GenerateContentResponse -> String # showList :: [GenerateContentResponse] -> ShowS #
Eq GenerateContentResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateContentResponse -> GenerateContentResponse -> Bool # (/=) :: GenerateContentResponse -> GenerateContentResponse -> Bool #

mkGenerateContentResponse :: GenerateContentResponse Source #

Construct a value of type GenerateContentResponse (by applying it's required fields, if any)

GenerateMessageRequest

data GenerateMessageRequest Source #

GenerateMessageRequest Request to generate a message response from the model.

Constructors

GenerateMessageRequest

Fields

generateMessageRequestTemperature :: !(Maybe Float)
"temperature" - 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.
generateMessageRequestTopP :: !(Maybe Float)
"topP" - Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and nucleus sampling. Nucleus sampling considers the smallest set of tokens whose probability sum is at least `top_p`.
generateMessageRequestCandidateCount :: !(Maybe Int)
"candidateCount" - Optional. The number of generated response messages to return. This value must be between `[1, 8]`, inclusive. If unset, this will default to `1`.
generateMessageRequestTopK :: !(Maybe Int)
"topK" - Optional. The maximum number of tokens to consider when sampling. The model uses combined Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens.
generateMessageRequestPrompt :: !MessagePrompt
Required "prompt" - Required. The structured textual input given to the model as a prompt. Given a prompt, the model will return what it predicts is the next message in the discussion.

Instances

Instances details

FromJSON GenerateMessageRequest Source #	FromJSON GenerateMessageRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateMessageRequest # parseJSONList :: Value -> Parser [GenerateMessageRequest] # omittedField :: Maybe GenerateMessageRequest #
ToJSON GenerateMessageRequest Source #	ToJSON GenerateMessageRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateMessageRequest -> Value # toEncoding :: GenerateMessageRequest -> Encoding # toJSONList :: [GenerateMessageRequest] -> Value # toEncodingList :: [GenerateMessageRequest] -> Encoding # omitField :: GenerateMessageRequest -> Bool #
Show GenerateMessageRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateMessageRequest -> ShowS # show :: GenerateMessageRequest -> String # showList :: [GenerateMessageRequest] -> ShowS #
Eq GenerateMessageRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateMessageRequest -> GenerateMessageRequest -> Bool # (/=) :: GenerateMessageRequest -> GenerateMessageRequest -> Bool #
HasBodyParam GenerateMessage GenerateMessageRequest Source #	Body Param GenerateMessageRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateMessage contentType, MimeRender contentType GenerateMessageRequest) => ClientRequest GenerateMessage contentType res accept -> GenerateMessageRequest -> ClientRequest GenerateMessage contentType res accept Source #

mkGenerateMessageRequest Source #

Arguments

:: MessagePrompt	`generateMessageRequestPrompt`: Required. The structured textual input given to the model as a prompt. Given a prompt, the model will return what it predicts is the next message in the discussion.
-> GenerateMessageRequest

Construct a value of type GenerateMessageRequest (by applying it's required fields, if any)

GenerateMessageResponse

data GenerateMessageResponse Source #

GenerateMessageResponse The response from the model. This includes candidate messages and conversation history in the form of chronologically-ordered messages.

Constructors

GenerateMessageResponse

Fields

generateMessageResponseCandidates :: !(Maybe [Message])
"candidates" - Candidate response messages from the model.
generateMessageResponseMessages :: !(Maybe [Message])
"messages" - The conversation history used by the model.
generateMessageResponseFilters :: !(Maybe [ContentFilter])
"filters" - A set of content filtering metadata for the prompt and response text. This indicates which `SafetyCategory`(s) blocked a candidate from this response, the lowest `HarmProbability` that triggered a block, and the HarmThreshold setting for that category.

Instances

Instances details

FromJSON GenerateMessageResponse Source #	FromJSON GenerateMessageResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateMessageResponse # parseJSONList :: Value -> Parser [GenerateMessageResponse] # omittedField :: Maybe GenerateMessageResponse #
ToJSON GenerateMessageResponse Source #	ToJSON GenerateMessageResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateMessageResponse -> Value # toEncoding :: GenerateMessageResponse -> Encoding # toJSONList :: [GenerateMessageResponse] -> Value # toEncodingList :: [GenerateMessageResponse] -> Encoding # omitField :: GenerateMessageResponse -> Bool #
Show GenerateMessageResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateMessageResponse -> ShowS # show :: GenerateMessageResponse -> String # showList :: [GenerateMessageResponse] -> ShowS #
Eq GenerateMessageResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateMessageResponse -> GenerateMessageResponse -> Bool # (/=) :: GenerateMessageResponse -> GenerateMessageResponse -> Bool #

mkGenerateMessageResponse :: GenerateMessageResponse Source #

Construct a value of type GenerateMessageResponse (by applying it's required fields, if any)

GenerateTextRequest

data GenerateTextRequest Source #

GenerateTextRequest Request to generate a text completion response from the model.

Constructors

GenerateTextRequest

Fields

generateTextRequestStopSequences :: !(Maybe [Text])
"stopSequences" - 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.
generateTextRequestPrompt :: !TextPrompt
Required "prompt" - Required. The free-form input text given to the model as a prompt. Given a prompt, the model will generate a TextCompletion response it predicts as the completion of the input text.
generateTextRequestMaxOutputTokens :: !(Maybe Int)
"maxOutputTokens" - Optional. The maximum number of tokens to include in a candidate. If unset, this will default to output_token_limit specified in the `Model` specification.
generateTextRequestSafetySettings :: !(Maybe [SafetySetting])
"safetySettings" - Optional. A list of unique `SafetySetting` instances for blocking unsafe content. that will be enforced on the `GenerateTextRequest.prompt` and `GenerateTextResponse.candidates`. There should not be more than one setting for each `SafetyCategory` type. The API will block any prompts 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_DEROGATORY, HARM_CATEGORY_TOXICITY, HARM_CATEGORY_VIOLENCE, HARM_CATEGORY_SEXUAL, HARM_CATEGORY_MEDICAL, HARM_CATEGORY_DANGEROUS are supported in text service.
generateTextRequestTemperature :: !(Maybe Float)
"temperature" - Optional. Controls the randomness of the output. Note: The default value varies by model, see the `Model.temperature` attribute of the `Model` returned the `getModel` function. Values can range from [0.0,1.0], inclusive. A value closer to 1.0 will produce responses that are more varied and creative, while a value closer to 0.0 will typically result in more straightforward responses from the model.
generateTextRequestTopK :: !(Maybe Int)
"topK" - Optional. The maximum number of tokens to consider when sampling. The model uses combined Top-k and nucleus sampling. Top-k sampling considers the set of `top_k` most probable tokens. Defaults to 40. Note: The default value varies by model, see the `Model.top_k` attribute of the `Model` returned the `getModel` function.
generateTextRequestTopP :: !(Maybe Float)
"topP" - Optional. The maximum cumulative probability of tokens to consider when sampling. The model uses combined Top-k and 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 number of tokens based on the cumulative probability. Note: The default value varies by model, see the `Model.top_p` attribute of the `Model` returned the `getModel` function.
generateTextRequestCandidateCount :: !(Maybe Int)
"candidateCount" - Optional. Number of generated responses to return. This value must be between [1, 8], inclusive. If unset, this will default to 1.

Instances

Instances details

FromJSON GenerateTextRequest Source #	FromJSON GenerateTextRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateTextRequest # parseJSONList :: Value -> Parser [GenerateTextRequest] # omittedField :: Maybe GenerateTextRequest #
ToJSON GenerateTextRequest Source #	ToJSON GenerateTextRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateTextRequest -> Value # toEncoding :: GenerateTextRequest -> Encoding # toJSONList :: [GenerateTextRequest] -> Value # toEncodingList :: [GenerateTextRequest] -> Encoding # omitField :: GenerateTextRequest -> Bool #
Show GenerateTextRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateTextRequest -> ShowS # show :: GenerateTextRequest -> String # showList :: [GenerateTextRequest] -> ShowS #
Eq GenerateTextRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateTextRequest -> GenerateTextRequest -> Bool # (/=) :: GenerateTextRequest -> GenerateTextRequest -> Bool #
HasBodyParam GenerateText GenerateTextRequest Source #	Body Param GenerateTextRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateText contentType, MimeRender contentType GenerateTextRequest) => ClientRequest GenerateText contentType res accept -> GenerateTextRequest -> ClientRequest GenerateText contentType res accept Source #
HasBodyParam GenerateTextByTunedModel GenerateTextRequest Source #	Body Param GenerateTextRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes GenerateTextByTunedModel contentType, MimeRender contentType GenerateTextRequest) => ClientRequest GenerateTextByTunedModel contentType res accept -> GenerateTextRequest -> ClientRequest GenerateTextByTunedModel contentType res accept Source #

mkGenerateTextRequest Source #

Arguments

:: TextPrompt	`generateTextRequestPrompt`: Required. The free-form input text given to the model as a prompt. Given a prompt, the model will generate a TextCompletion response it predicts as the completion of the input text.
-> GenerateTextRequest

Construct a value of type GenerateTextRequest (by applying it's required fields, if any)

GenerateTextResponse

data GenerateTextResponse Source #

GenerateTextResponse The response from the model, including candidate completions.

Constructors

GenerateTextResponse

Fields

generateTextResponseSafetyFeedback :: !(Maybe [SafetyFeedback])
"safetyFeedback" - Returns any safety feedback related to content filtering.
generateTextResponseCandidates :: !(Maybe [TextCompletion])
"candidates" - Candidate responses from the model.
generateTextResponseFilters :: !(Maybe [ContentFilter])
"filters" - A set of content filtering metadata for the prompt and response text. This indicates which `SafetyCategory`(s) blocked a candidate from this response, the lowest `HarmProbability` that triggered a block, and the HarmThreshold setting for that category. This indicates the smallest change to the `SafetySettings` that would be necessary to unblock at least 1 response. The blocking is configured by the `SafetySettings` in the request (or the default `SafetySettings` of the API).

Instances

Instances details

FromJSON GenerateTextResponse Source #	FromJSON GenerateTextResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateTextResponse # parseJSONList :: Value -> Parser [GenerateTextResponse] # omittedField :: Maybe GenerateTextResponse #
ToJSON GenerateTextResponse Source #	ToJSON GenerateTextResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateTextResponse -> Value # toEncoding :: GenerateTextResponse -> Encoding # toJSONList :: [GenerateTextResponse] -> Value # toEncodingList :: [GenerateTextResponse] -> Encoding # omitField :: GenerateTextResponse -> Bool #
Show GenerateTextResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateTextResponse -> ShowS # show :: GenerateTextResponse -> String # showList :: [GenerateTextResponse] -> ShowS #
Eq GenerateTextResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateTextResponse -> GenerateTextResponse -> Bool # (/=) :: GenerateTextResponse -> GenerateTextResponse -> Bool #

mkGenerateTextResponse :: GenerateTextResponse Source #

Construct a value of type GenerateTextResponse (by applying it's required fields, if any)

GenerateVideoResponse

data GenerateVideoResponse Source #

GenerateVideoResponse Veo response.

Constructors

GenerateVideoResponse
Fields generateVideoResponseGeneratedSamples :: !(Maybe [Media]) "generatedSamples" - The generated samples. generateVideoResponseRaiMediaFilteredCount :: !(Maybe Int) "raiMediaFilteredCount" - Returns if any videos were filtered due to RAI policies. generateVideoResponseRaiMediaFilteredReasons :: !(Maybe [Text]) "raiMediaFilteredReasons" - Returns rai failure reasons if any.

Instances

Instances details

FromJSON GenerateVideoResponse Source #	FromJSON GenerateVideoResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerateVideoResponse # parseJSONList :: Value -> Parser [GenerateVideoResponse] # omittedField :: Maybe GenerateVideoResponse #
ToJSON GenerateVideoResponse Source #	ToJSON GenerateVideoResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerateVideoResponse -> Value # toEncoding :: GenerateVideoResponse -> Encoding # toJSONList :: [GenerateVideoResponse] -> Value # toEncodingList :: [GenerateVideoResponse] -> Encoding # omitField :: GenerateVideoResponse -> Bool #
Show GenerateVideoResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerateVideoResponse -> ShowS # show :: GenerateVideoResponse -> String # showList :: [GenerateVideoResponse] -> ShowS #
Eq GenerateVideoResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerateVideoResponse -> GenerateVideoResponse -> Bool # (/=) :: GenerateVideoResponse -> GenerateVideoResponse -> Bool #

mkGenerateVideoResponse :: GenerateVideoResponse Source #

Construct a value of type GenerateVideoResponse (by applying it's required fields, if any)

GeneratedFile

data GeneratedFile Source #

GeneratedFile A file generated on behalf of a user.

Constructors

GeneratedFile

Fields

generatedFileError :: !(Maybe Status)
"error" - Error details if the GeneratedFile ends up in the STATE_FAILED state.
generatedFileName :: !(Maybe Text)
"name" - Identifier. The name of the generated file. Example: `generatedFiles/abc-123`
generatedFileState :: !(Maybe E'State2)
ReadOnly "state" - Output only. The state of the GeneratedFile.
generatedFileMimeType :: !(Maybe Text)
"mimeType" - MIME type of the generatedFile.

Instances

Instances details

FromJSON GeneratedFile Source #	FromJSON GeneratedFile
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GeneratedFile # parseJSONList :: Value -> Parser [GeneratedFile] # omittedField :: Maybe GeneratedFile #
ToJSON GeneratedFile Source #	ToJSON GeneratedFile
Instance details Defined in GenAI.Client.Model Methods toJSON :: GeneratedFile -> Value # toEncoding :: GeneratedFile -> Encoding # toJSONList :: [GeneratedFile] -> Value # toEncodingList :: [GeneratedFile] -> Encoding # omitField :: GeneratedFile -> Bool #
Show GeneratedFile Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GeneratedFile -> ShowS # show :: GeneratedFile -> String # showList :: [GeneratedFile] -> ShowS #
Eq GeneratedFile Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GeneratedFile -> GeneratedFile -> Bool # (/=) :: GeneratedFile -> GeneratedFile -> Bool #

mkGeneratedFile :: GeneratedFile Source #

Construct a value of type GeneratedFile (by applying it's required fields, if any)

GenerationConfig

data GenerationConfig Source #

GenerationConfig Configuration options for model generation and outputs. Not all parameters are configurable for every model.

Constructors

GenerationConfig

Fields

generationConfigResponseSchema :: !(Maybe Schema)
"responseSchema" - Optional. Output schema of the generated candidate text. Schemas must be a subset of the OpenAPI schema and can be objects, primitives or arrays. If set, a compatible `response_mime_type` must also be set. Compatible MIME types: `applicationjson`: Schema for JSON response. Refer to the [JSON text generation guide](https:ai.google.devgemini-apidocsjson-mode) for more details.
generationConfigThinkingConfig :: !(Maybe ThinkingConfig)
"thinkingConfig" - Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
generationConfigLogprobs :: !(Maybe Int)
"logprobs" - Optional. Only valid if response_logprobs=True. This sets the number of top logprobs to return at each decoding step in the Candidate.logprobs_result.
generationConfigMediaResolution :: !(Maybe E'MediaResolution)
"mediaResolution" - Optional. If specified, the media resolution specified will be used.
generationConfigStopSequences :: !(Maybe [Text])
"stopSequences" - 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.
generationConfigSpeechConfig :: !(Maybe SpeechConfig)
"speechConfig" - Optional. The speech generation config.
generationConfigResponseJsonSchema :: !(Maybe String)
"responseJsonSchema" - Optional. Output schema of the generated response. This is an alternative to `response_schema` that accepts JSON Schema. If set, `response_schema` must be omitted, but `response_mime_type` is required. While the full JSON Schema may be sent, not all features are supported. Specifically, only the following properties are supported: - `$id` - `$defs` - `$ref` - `$anchor` - `type` - `format` - `title` - `description` - `enum` (for strings and numbers) - `items` - `prefixItems` - `minItems` - `maxItems` - `minimum` - `maximum` - `anyOf` - `oneOf` (interpreted the same as `anyOf`) - `properties` - `additionalProperties` - `required` The non-standard `propertyOrdering` property may also be set. Cyclic references are unrolled to a limited degree and, as such, may only be used within non-required properties. (Nullable properties are not sufficient.) If `$ref` is set on a sub-schema, no other properties, except for than those starting as a `$`, may be set.
generationConfigPresencePenalty :: !(Maybe Float)
"presencePenalty" - 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.
generationConfigTopP :: !(Maybe Float)
"topP" - 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.
generationConfigTemperature :: !(Maybe Float)
"temperature" - 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].
generationConfigTopK :: !(Maybe Int)
"topK" - 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.
generationConfigCandidateCount :: !(Maybe Int)
"candidateCount" - 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)
generationConfigEnableEnhancedCivicAnswers :: !(Maybe Bool)
"enableEnhancedCivicAnswers" - Optional. Enables enhanced civic answers. It may not be available for all models.
generationConfigResponseLogprobs :: !(Maybe Bool)
"responseLogprobs" - Optional. If true, export the logprobs results in response.
generationConfigResponseModalities :: !(Maybe [E'ResponseModalities])
"responseModalities" - 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.
generationConfigFrequencyPenalty :: !(Maybe Float)
"frequencyPenalty" - 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.
generationConfigSeed :: !(Maybe Int)
"seed" - Optional. Seed used in decoding. If not set, the request uses a randomly generated seed.
generationConfigMaxOutputTokens :: !(Maybe Int)
"maxOutputTokens" - 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.
generationConfigResponseMimeType :: !(Maybe Text)
"responseMimeType" - Optional. MIME type of the generated candidate text. Supported MIME types are: `textplain`: (default) Text output. `applicationjson`: JSON response in the response candidates. `textx.enum`: ENUM as a string response in the response candidates. Refer to the [docs](https:ai.google.devgemini-apidocsprompting_with_media#plain_text_formats) for a list of all supported text MIME types.

Instances

Instances details

FromJSON GenerationConfig Source #	FromJSON GenerationConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GenerationConfig # parseJSONList :: Value -> Parser [GenerationConfig] # omittedField :: Maybe GenerationConfig #
ToJSON GenerationConfig Source #	ToJSON GenerationConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: GenerationConfig -> Value # toEncoding :: GenerationConfig -> Encoding # toJSONList :: [GenerationConfig] -> Value # toEncodingList :: [GenerationConfig] -> Encoding # omitField :: GenerationConfig -> Bool #
Show GenerationConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GenerationConfig -> ShowS # show :: GenerationConfig -> String # showList :: [GenerationConfig] -> ShowS #
Eq GenerationConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GenerationConfig -> GenerationConfig -> Bool # (/=) :: GenerationConfig -> GenerationConfig -> Bool #

mkGenerationConfig :: GenerationConfig Source #

Construct a value of type GenerationConfig (by applying it's required fields, if any)

GoogleSearch

data GoogleSearch Source #

GoogleSearch GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.

Constructors

GoogleSearch
Fields googleSearchTimeRangeFilter :: !(Maybe Interval) "timeRangeFilter" - Optional. Filter search results to a specific time range. If customers set a start time, they must set an end time (and vice versa).

Instances

Instances details

FromJSON GoogleSearch Source #	FromJSON GoogleSearch
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GoogleSearch # parseJSONList :: Value -> Parser [GoogleSearch] # omittedField :: Maybe GoogleSearch #
ToJSON GoogleSearch Source #	ToJSON GoogleSearch
Instance details Defined in GenAI.Client.Model Methods toJSON :: GoogleSearch -> Value # toEncoding :: GoogleSearch -> Encoding # toJSONList :: [GoogleSearch] -> Value # toEncodingList :: [GoogleSearch] -> Encoding # omitField :: GoogleSearch -> Bool #
Show GoogleSearch Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GoogleSearch -> ShowS # show :: GoogleSearch -> String # showList :: [GoogleSearch] -> ShowS #
Eq GoogleSearch Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GoogleSearch -> GoogleSearch -> Bool # (/=) :: GoogleSearch -> GoogleSearch -> Bool #

mkGoogleSearch :: GoogleSearch Source #

Construct a value of type GoogleSearch (by applying it's required fields, if any)

GoogleSearchRetrieval

data GoogleSearchRetrieval Source #

GoogleSearchRetrieval Tool to retrieve public web data for grounding, powered by Google.

Constructors

GoogleSearchRetrieval
Fields googleSearchRetrievalDynamicRetrievalConfig :: !(Maybe DynamicRetrievalConfig) "dynamicRetrievalConfig" - Specifies the dynamic retrieval configuration for the given source.

Instances

Instances details

FromJSON GoogleSearchRetrieval Source #	FromJSON GoogleSearchRetrieval
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GoogleSearchRetrieval # parseJSONList :: Value -> Parser [GoogleSearchRetrieval] # omittedField :: Maybe GoogleSearchRetrieval #
ToJSON GoogleSearchRetrieval Source #	ToJSON GoogleSearchRetrieval
Instance details Defined in GenAI.Client.Model Methods toJSON :: GoogleSearchRetrieval -> Value # toEncoding :: GoogleSearchRetrieval -> Encoding # toJSONList :: [GoogleSearchRetrieval] -> Value # toEncodingList :: [GoogleSearchRetrieval] -> Encoding # omitField :: GoogleSearchRetrieval -> Bool #
Show GoogleSearchRetrieval Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GoogleSearchRetrieval -> ShowS # show :: GoogleSearchRetrieval -> String # showList :: [GoogleSearchRetrieval] -> ShowS #
Eq GoogleSearchRetrieval Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GoogleSearchRetrieval -> GoogleSearchRetrieval -> Bool # (/=) :: GoogleSearchRetrieval -> GoogleSearchRetrieval -> Bool #

mkGoogleSearchRetrieval :: GoogleSearchRetrieval Source #

Construct a value of type GoogleSearchRetrieval (by applying it's required fields, if any)

GroundingAttribution

data GroundingAttribution Source #

GroundingAttribution Attribution for a source that contributed to an answer.

Constructors

GroundingAttribution
Fields groundingAttributionSourceId :: !(Maybe AttributionSourceId) ReadOnly "sourceId" - Output only. Identifier for the source contributing to this attribution. groundingAttributionContent :: !(Maybe Content) "content" - Grounding source content that makes up this attribution.

Instances

Instances details

FromJSON GroundingAttribution Source #	FromJSON GroundingAttribution
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingAttribution # parseJSONList :: Value -> Parser [GroundingAttribution] # omittedField :: Maybe GroundingAttribution #
ToJSON GroundingAttribution Source #	ToJSON GroundingAttribution
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingAttribution -> Value # toEncoding :: GroundingAttribution -> Encoding # toJSONList :: [GroundingAttribution] -> Value # toEncodingList :: [GroundingAttribution] -> Encoding # omitField :: GroundingAttribution -> Bool #
Show GroundingAttribution Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingAttribution -> ShowS # show :: GroundingAttribution -> String # showList :: [GroundingAttribution] -> ShowS #
Eq GroundingAttribution Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingAttribution -> GroundingAttribution -> Bool # (/=) :: GroundingAttribution -> GroundingAttribution -> Bool #

mkGroundingAttribution :: GroundingAttribution Source #

Construct a value of type GroundingAttribution (by applying it's required fields, if any)

GroundingChunk

data GroundingChunk Source #

GroundingChunk Grounding chunk.

Constructors

GroundingChunk
Fields groundingChunkWeb :: !(Maybe Web) "web" - Grounding chunk from the web.

Instances

Instances details

FromJSON GroundingChunk Source #	FromJSON GroundingChunk
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingChunk # parseJSONList :: Value -> Parser [GroundingChunk] # omittedField :: Maybe GroundingChunk #
ToJSON GroundingChunk Source #	ToJSON GroundingChunk
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingChunk -> Value # toEncoding :: GroundingChunk -> Encoding # toJSONList :: [GroundingChunk] -> Value # toEncodingList :: [GroundingChunk] -> Encoding # omitField :: GroundingChunk -> Bool #
Show GroundingChunk Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingChunk -> ShowS # show :: GroundingChunk -> String # showList :: [GroundingChunk] -> ShowS #
Eq GroundingChunk Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingChunk -> GroundingChunk -> Bool # (/=) :: GroundingChunk -> GroundingChunk -> Bool #

mkGroundingChunk :: GroundingChunk Source #

Construct a value of type GroundingChunk (by applying it's required fields, if any)

GroundingMetadata

data GroundingMetadata Source #

GroundingMetadata Metadata returned to client when grounding is enabled.

Constructors

GroundingMetadata

Fields

groundingMetadataRetrievalMetadata :: !(Maybe RetrievalMetadata)
"retrievalMetadata" - Metadata related to retrieval in the grounding flow.
groundingMetadataWebSearchQueries :: !(Maybe [Text])
"webSearchQueries" - Web search queries for the following-up web search.
groundingMetadataGroundingChunks :: !(Maybe [GroundingChunk])
"groundingChunks" - List of supporting references retrieved from specified grounding source.
groundingMetadataSearchEntryPoint :: !(Maybe SearchEntryPoint)
"searchEntryPoint" - Optional. Google search entry for the following-up web searches.
groundingMetadataGroundingSupports :: !(Maybe [GroundingSupport])
"groundingSupports" - List of grounding support.

Instances

Instances details

FromJSON GroundingMetadata Source #	FromJSON GroundingMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingMetadata # parseJSONList :: Value -> Parser [GroundingMetadata] # omittedField :: Maybe GroundingMetadata #
ToJSON GroundingMetadata Source #	ToJSON GroundingMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingMetadata -> Value # toEncoding :: GroundingMetadata -> Encoding # toJSONList :: [GroundingMetadata] -> Value # toEncodingList :: [GroundingMetadata] -> Encoding # omitField :: GroundingMetadata -> Bool #
Show GroundingMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingMetadata -> ShowS # show :: GroundingMetadata -> String # showList :: [GroundingMetadata] -> ShowS #
Eq GroundingMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingMetadata -> GroundingMetadata -> Bool # (/=) :: GroundingMetadata -> GroundingMetadata -> Bool #

mkGroundingMetadata :: GroundingMetadata Source #

Construct a value of type GroundingMetadata (by applying it's required fields, if any)

GroundingPassage

data GroundingPassage Source #

GroundingPassage Passage included inline with a grounding configuration.

Constructors

GroundingPassage
Fields groundingPassageContent :: !(Maybe Content) "content" - Content of the passage. groundingPassageId :: !(Maybe Text) "id" - Identifier for the passage for attributing this passage in grounded answers.

Instances

Instances details

FromJSON GroundingPassage Source #	FromJSON GroundingPassage
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingPassage # parseJSONList :: Value -> Parser [GroundingPassage] # omittedField :: Maybe GroundingPassage #
ToJSON GroundingPassage Source #	ToJSON GroundingPassage
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingPassage -> Value # toEncoding :: GroundingPassage -> Encoding # toJSONList :: [GroundingPassage] -> Value # toEncodingList :: [GroundingPassage] -> Encoding # omitField :: GroundingPassage -> Bool #
Show GroundingPassage Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingPassage -> ShowS # show :: GroundingPassage -> String # showList :: [GroundingPassage] -> ShowS #
Eq GroundingPassage Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingPassage -> GroundingPassage -> Bool # (/=) :: GroundingPassage -> GroundingPassage -> Bool #

mkGroundingPassage :: GroundingPassage Source #

Construct a value of type GroundingPassage (by applying it's required fields, if any)

GroundingPassageId

data GroundingPassageId Source #

GroundingPassageId Identifier for a part within a GroundingPassage.

Constructors

GroundingPassageId
Fields groundingPassageIdPassageId :: !(Maybe Text) ReadOnly "passageId" - Output only. ID of the passage matching the `GenerateAnswerRequest`'s `GroundingPassage.id`. groundingPassageIdPartIndex :: !(Maybe Int) ReadOnly "partIndex" - Output only. Index of the part within the `GenerateAnswerRequest`'s `GroundingPassage.content`.

Instances

Instances details

FromJSON GroundingPassageId Source #	FromJSON GroundingPassageId
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingPassageId # parseJSONList :: Value -> Parser [GroundingPassageId] # omittedField :: Maybe GroundingPassageId #
ToJSON GroundingPassageId Source #	ToJSON GroundingPassageId
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingPassageId -> Value # toEncoding :: GroundingPassageId -> Encoding # toJSONList :: [GroundingPassageId] -> Value # toEncodingList :: [GroundingPassageId] -> Encoding # omitField :: GroundingPassageId -> Bool #
Show GroundingPassageId Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingPassageId -> ShowS # show :: GroundingPassageId -> String # showList :: [GroundingPassageId] -> ShowS #
Eq GroundingPassageId Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingPassageId -> GroundingPassageId -> Bool # (/=) :: GroundingPassageId -> GroundingPassageId -> Bool #

mkGroundingPassageId :: GroundingPassageId Source #

Construct a value of type GroundingPassageId (by applying it's required fields, if any)

GroundingPassages

data GroundingPassages Source #

GroundingPassages A repeated list of passages.

Constructors

GroundingPassages
Fields groundingPassagesPassages :: !(Maybe [GroundingPassage]) "passages" - List of passages.

Instances

Instances details

FromJSON GroundingPassages Source #	FromJSON GroundingPassages
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingPassages # parseJSONList :: Value -> Parser [GroundingPassages] # omittedField :: Maybe GroundingPassages #
ToJSON GroundingPassages Source #	ToJSON GroundingPassages
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingPassages -> Value # toEncoding :: GroundingPassages -> Encoding # toJSONList :: [GroundingPassages] -> Value # toEncodingList :: [GroundingPassages] -> Encoding # omitField :: GroundingPassages -> Bool #
Show GroundingPassages Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingPassages -> ShowS # show :: GroundingPassages -> String # showList :: [GroundingPassages] -> ShowS #
Eq GroundingPassages Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingPassages -> GroundingPassages -> Bool # (/=) :: GroundingPassages -> GroundingPassages -> Bool #

mkGroundingPassages :: GroundingPassages Source #

Construct a value of type GroundingPassages (by applying it's required fields, if any)

GroundingSupport

data GroundingSupport Source #

GroundingSupport Grounding support.

Constructors

GroundingSupport

Fields

groundingSupportConfidenceScores :: !(Maybe [Float])
"confidenceScores" - 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.
groundingSupportGroundingChunkIndices :: !(Maybe [Int])
"groundingChunkIndices" - A list of indices (into 'grounding_chunk') 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.
groundingSupportSegment :: !(Maybe Segment)
"segment" - Segment of the content this support belongs to.

Instances

Instances details

FromJSON GroundingSupport Source #	FromJSON GroundingSupport
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser GroundingSupport # parseJSONList :: Value -> Parser [GroundingSupport] # omittedField :: Maybe GroundingSupport #
ToJSON GroundingSupport Source #	ToJSON GroundingSupport
Instance details Defined in GenAI.Client.Model Methods toJSON :: GroundingSupport -> Value # toEncoding :: GroundingSupport -> Encoding # toJSONList :: [GroundingSupport] -> Value # toEncodingList :: [GroundingSupport] -> Encoding # omitField :: GroundingSupport -> Bool #
Show GroundingSupport Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> GroundingSupport -> ShowS # show :: GroundingSupport -> String # showList :: [GroundingSupport] -> ShowS #
Eq GroundingSupport Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: GroundingSupport -> GroundingSupport -> Bool # (/=) :: GroundingSupport -> GroundingSupport -> Bool #

mkGroundingSupport :: GroundingSupport Source #

Construct a value of type GroundingSupport (by applying it's required fields, if any)

Hyperparameters

data Hyperparameters Source #

Hyperparameters Hyperparameters controlling the tuning process. Read more at https://ai.google.dev/docs/model_tuning_guidance

Constructors

Hyperparameters

Fields

hyperparametersEpochCount :: !(Maybe Int)
"epochCount" - 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.
hyperparametersLearningRate :: !(Maybe Float)
"learningRate" - 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.
hyperparametersLearningRateMultiplier :: !(Maybe Float)
"learningRateMultiplier" - 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.
hyperparametersBatchSize :: !(Maybe Int)
"batchSize" - 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.

Instances

Instances details

FromJSON Hyperparameters Source #	FromJSON Hyperparameters
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Hyperparameters # parseJSONList :: Value -> Parser [Hyperparameters] # omittedField :: Maybe Hyperparameters #
ToJSON Hyperparameters Source #	ToJSON Hyperparameters
Instance details Defined in GenAI.Client.Model Methods toJSON :: Hyperparameters -> Value # toEncoding :: Hyperparameters -> Encoding # toJSONList :: [Hyperparameters] -> Value # toEncodingList :: [Hyperparameters] -> Encoding # omitField :: Hyperparameters -> Bool #
Show Hyperparameters Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Hyperparameters -> ShowS # show :: Hyperparameters -> String # showList :: [Hyperparameters] -> ShowS #
Eq Hyperparameters Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Hyperparameters -> Hyperparameters -> Bool # (/=) :: Hyperparameters -> Hyperparameters -> Bool #

mkHyperparameters :: Hyperparameters Source #

Construct a value of type Hyperparameters (by applying it's required fields, if any)

InputFeedback

data InputFeedback Source #

InputFeedback Feedback related to the input data used to answer the question, as opposed to the model-generated response to the question.

Constructors

InputFeedback
Fields inputFeedbackSafetyRatings :: !(Maybe [SafetyRating]) "safetyRatings" - Ratings for safety of the input. There is at most one rating per category. inputFeedbackBlockReason :: !(Maybe E'BlockReason2) "blockReason" - Optional. If set, the input was blocked and no candidates are returned. Rephrase the input.

Instances

Instances details

FromJSON InputFeedback Source #	FromJSON InputFeedback
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser InputFeedback # parseJSONList :: Value -> Parser [InputFeedback] # omittedField :: Maybe InputFeedback #
ToJSON InputFeedback Source #	ToJSON InputFeedback
Instance details Defined in GenAI.Client.Model Methods toJSON :: InputFeedback -> Value # toEncoding :: InputFeedback -> Encoding # toJSONList :: [InputFeedback] -> Value # toEncodingList :: [InputFeedback] -> Encoding # omitField :: InputFeedback -> Bool #
Show InputFeedback Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> InputFeedback -> ShowS # show :: InputFeedback -> String # showList :: [InputFeedback] -> ShowS #
Eq InputFeedback Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: InputFeedback -> InputFeedback -> Bool # (/=) :: InputFeedback -> InputFeedback -> Bool #

mkInputFeedback :: InputFeedback Source #

Construct a value of type InputFeedback (by applying it's required fields, if any)

Interval

data Interval Source #

Interval 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.

Constructors

Interval
Fields intervalStartTime :: !(Maybe DateTime) "startTime" - Optional. Inclusive start of the interval. If specified, a Timestamp matching this interval will have to be the same or after the start. intervalEndTime :: !(Maybe DateTime) "endTime" - Optional. Exclusive end of the interval. If specified, a Timestamp matching this interval will have to be before the end.

Instances

Instances details

FromJSON Interval Source #	FromJSON Interval
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Interval # parseJSONList :: Value -> Parser [Interval] # omittedField :: Maybe Interval #
ToJSON Interval Source #	ToJSON Interval
Instance details Defined in GenAI.Client.Model Methods toJSON :: Interval -> Value # toEncoding :: Interval -> Encoding # toJSONList :: [Interval] -> Value # toEncodingList :: [Interval] -> Encoding # omitField :: Interval -> Bool #
Show Interval Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Interval -> ShowS # show :: Interval -> String # showList :: [Interval] -> ShowS #
Eq Interval Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Interval -> Interval -> Bool # (/=) :: Interval -> Interval -> Bool #

mkInterval :: Interval Source #

Construct a value of type Interval (by applying it's required fields, if any)

ListCachedContentsResponse

data ListCachedContentsResponse Source #

ListCachedContentsResponse Response with CachedContents list.

Constructors

ListCachedContentsResponse
Fields listCachedContentsResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no subsequent pages. listCachedContentsResponseCachedContents :: !(Maybe [CachedContent]) "cachedContents" - List of cached contents.

Instances

Instances details

FromJSON ListCachedContentsResponse Source #	FromJSON ListCachedContentsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListCachedContentsResponse # parseJSONList :: Value -> Parser [ListCachedContentsResponse] # omittedField :: Maybe ListCachedContentsResponse #
ToJSON ListCachedContentsResponse Source #	ToJSON ListCachedContentsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListCachedContentsResponse -> Value # toEncoding :: ListCachedContentsResponse -> Encoding # toJSONList :: [ListCachedContentsResponse] -> Value # toEncodingList :: [ListCachedContentsResponse] -> Encoding # omitField :: ListCachedContentsResponse -> Bool #
Show ListCachedContentsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListCachedContentsResponse -> ShowS # show :: ListCachedContentsResponse -> String # showList :: [ListCachedContentsResponse] -> ShowS #
Eq ListCachedContentsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListCachedContentsResponse -> ListCachedContentsResponse -> Bool # (/=) :: ListCachedContentsResponse -> ListCachedContentsResponse -> Bool #

mkListCachedContentsResponse :: ListCachedContentsResponse Source #

Construct a value of type ListCachedContentsResponse (by applying it's required fields, if any)

ListChunksResponse

data ListChunksResponse Source #

ListChunksResponse Response from ListChunks containing a paginated list of Chunks. The Chunks are sorted by ascending `chunk.create_time`.

Constructors

ListChunksResponse
Fields listChunksResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. listChunksResponseChunks :: !(Maybe [Chunk]) "chunks" - The returned `Chunk`s.

Instances

Instances details

FromJSON ListChunksResponse Source #	FromJSON ListChunksResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListChunksResponse # parseJSONList :: Value -> Parser [ListChunksResponse] # omittedField :: Maybe ListChunksResponse #
ToJSON ListChunksResponse Source #	ToJSON ListChunksResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListChunksResponse -> Value # toEncoding :: ListChunksResponse -> Encoding # toJSONList :: [ListChunksResponse] -> Value # toEncodingList :: [ListChunksResponse] -> Encoding # omitField :: ListChunksResponse -> Bool #
Show ListChunksResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListChunksResponse -> ShowS # show :: ListChunksResponse -> String # showList :: [ListChunksResponse] -> ShowS #
Eq ListChunksResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListChunksResponse -> ListChunksResponse -> Bool # (/=) :: ListChunksResponse -> ListChunksResponse -> Bool #

mkListChunksResponse :: ListChunksResponse Source #

Construct a value of type ListChunksResponse (by applying it's required fields, if any)

ListCorporaResponse

data ListCorporaResponse Source #

ListCorporaResponse Response from ListCorpora containing a paginated list of Corpora. The results are sorted by ascending `corpus.create_time`.

Constructors

ListCorporaResponse
Fields listCorporaResponseCorpora :: !(Maybe [Corpus]) "corpora" - The returned corpora. listCorporaResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.

Instances

Instances details

FromJSON ListCorporaResponse Source #	FromJSON ListCorporaResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListCorporaResponse # parseJSONList :: Value -> Parser [ListCorporaResponse] # omittedField :: Maybe ListCorporaResponse #
ToJSON ListCorporaResponse Source #	ToJSON ListCorporaResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListCorporaResponse -> Value # toEncoding :: ListCorporaResponse -> Encoding # toJSONList :: [ListCorporaResponse] -> Value # toEncodingList :: [ListCorporaResponse] -> Encoding # omitField :: ListCorporaResponse -> Bool #
Show ListCorporaResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListCorporaResponse -> ShowS # show :: ListCorporaResponse -> String # showList :: [ListCorporaResponse] -> ShowS #
Eq ListCorporaResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListCorporaResponse -> ListCorporaResponse -> Bool # (/=) :: ListCorporaResponse -> ListCorporaResponse -> Bool #

mkListCorporaResponse :: ListCorporaResponse Source #

Construct a value of type ListCorporaResponse (by applying it's required fields, if any)

ListDocumentsResponse

data ListDocumentsResponse Source #

ListDocumentsResponse Response from ListDocuments containing a paginated list of Documents. The Documents are sorted by ascending `document.create_time`.

Constructors

ListDocumentsResponse
Fields listDocumentsResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. listDocumentsResponseDocuments :: !(Maybe [Document]) "documents" - The returned `Document`s.

Instances

Instances details

FromJSON ListDocumentsResponse Source #	FromJSON ListDocumentsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListDocumentsResponse # parseJSONList :: Value -> Parser [ListDocumentsResponse] # omittedField :: Maybe ListDocumentsResponse #
ToJSON ListDocumentsResponse Source #	ToJSON ListDocumentsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListDocumentsResponse -> Value # toEncoding :: ListDocumentsResponse -> Encoding # toJSONList :: [ListDocumentsResponse] -> Value # toEncodingList :: [ListDocumentsResponse] -> Encoding # omitField :: ListDocumentsResponse -> Bool #
Show ListDocumentsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListDocumentsResponse -> ShowS # show :: ListDocumentsResponse -> String # showList :: [ListDocumentsResponse] -> ShowS #
Eq ListDocumentsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListDocumentsResponse -> ListDocumentsResponse -> Bool # (/=) :: ListDocumentsResponse -> ListDocumentsResponse -> Bool #

mkListDocumentsResponse :: ListDocumentsResponse Source #

Construct a value of type ListDocumentsResponse (by applying it's required fields, if any)

ListFilesResponse

data ListFilesResponse Source #

ListFilesResponse Response for ListFiles.

Constructors

ListFilesResponse
Fields listFilesResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token that can be sent as a `page_token` into a subsequent `ListFiles` call. listFilesResponseFiles :: !(Maybe [File]) "files" - The list of `File`s.

Instances

Instances details

FromJSON ListFilesResponse Source #	FromJSON ListFilesResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListFilesResponse # parseJSONList :: Value -> Parser [ListFilesResponse] # omittedField :: Maybe ListFilesResponse #
ToJSON ListFilesResponse Source #	ToJSON ListFilesResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListFilesResponse -> Value # toEncoding :: ListFilesResponse -> Encoding # toJSONList :: [ListFilesResponse] -> Value # toEncodingList :: [ListFilesResponse] -> Encoding # omitField :: ListFilesResponse -> Bool #
Show ListFilesResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListFilesResponse -> ShowS # show :: ListFilesResponse -> String # showList :: [ListFilesResponse] -> ShowS #
Eq ListFilesResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListFilesResponse -> ListFilesResponse -> Bool # (/=) :: ListFilesResponse -> ListFilesResponse -> Bool #

mkListFilesResponse :: ListFilesResponse Source #

Construct a value of type ListFilesResponse (by applying it's required fields, if any)

ListGeneratedFilesResponse

data ListGeneratedFilesResponse Source #

ListGeneratedFilesResponse Response for ListGeneratedFiles.

Constructors

ListGeneratedFilesResponse
Fields listGeneratedFilesResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token that can be sent as a `page_token` into a subsequent `ListGeneratedFiles` call. listGeneratedFilesResponseGeneratedFiles :: !(Maybe [GeneratedFile]) "generatedFiles" - The list of `GeneratedFile`s.

Instances

Instances details

FromJSON ListGeneratedFilesResponse Source #	FromJSON ListGeneratedFilesResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListGeneratedFilesResponse # parseJSONList :: Value -> Parser [ListGeneratedFilesResponse] # omittedField :: Maybe ListGeneratedFilesResponse #
ToJSON ListGeneratedFilesResponse Source #	ToJSON ListGeneratedFilesResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListGeneratedFilesResponse -> Value # toEncoding :: ListGeneratedFilesResponse -> Encoding # toJSONList :: [ListGeneratedFilesResponse] -> Value # toEncodingList :: [ListGeneratedFilesResponse] -> Encoding # omitField :: ListGeneratedFilesResponse -> Bool #
Show ListGeneratedFilesResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListGeneratedFilesResponse -> ShowS # show :: ListGeneratedFilesResponse -> String # showList :: [ListGeneratedFilesResponse] -> ShowS #
Eq ListGeneratedFilesResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListGeneratedFilesResponse -> ListGeneratedFilesResponse -> Bool # (/=) :: ListGeneratedFilesResponse -> ListGeneratedFilesResponse -> Bool #

mkListGeneratedFilesResponse :: ListGeneratedFilesResponse Source #

Construct a value of type ListGeneratedFilesResponse (by applying it's required fields, if any)

ListModelsResponse

data ListModelsResponse Source #

ListModelsResponse Response from ListModel containing a paginated list of Models.

Constructors

ListModelsResponse
Fields listModelsResponseModels :: !(Maybe [Model]) "models" - The returned Models. listModelsResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.

Instances

Instances details

FromJSON ListModelsResponse Source #	FromJSON ListModelsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListModelsResponse # parseJSONList :: Value -> Parser [ListModelsResponse] # omittedField :: Maybe ListModelsResponse #
ToJSON ListModelsResponse Source #	ToJSON ListModelsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListModelsResponse -> Value # toEncoding :: ListModelsResponse -> Encoding # toJSONList :: [ListModelsResponse] -> Value # toEncodingList :: [ListModelsResponse] -> Encoding # omitField :: ListModelsResponse -> Bool #
Show ListModelsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListModelsResponse -> ShowS # show :: ListModelsResponse -> String # showList :: [ListModelsResponse] -> ShowS #
Eq ListModelsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListModelsResponse -> ListModelsResponse -> Bool # (/=) :: ListModelsResponse -> ListModelsResponse -> Bool #

mkListModelsResponse :: ListModelsResponse Source #

Construct a value of type ListModelsResponse (by applying it's required fields, if any)

ListOperationsResponse

data ListOperationsResponse Source #

ListOperationsResponse The response message for Operations.ListOperations.

Constructors

ListOperationsResponse
Fields listOperationsResponseNextPageToken :: !(Maybe Text) "nextPageToken" - The standard List next-page token. listOperationsResponseOperations :: !(Maybe [Operation]) "operations" - A list of operations that matches the specified filter in the request.

Instances

Instances details

FromJSON ListOperationsResponse Source #	FromJSON ListOperationsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListOperationsResponse # parseJSONList :: Value -> Parser [ListOperationsResponse] # omittedField :: Maybe ListOperationsResponse #
ToJSON ListOperationsResponse Source #	ToJSON ListOperationsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListOperationsResponse -> Value # toEncoding :: ListOperationsResponse -> Encoding # toJSONList :: [ListOperationsResponse] -> Value # toEncodingList :: [ListOperationsResponse] -> Encoding # omitField :: ListOperationsResponse -> Bool #
Show ListOperationsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListOperationsResponse -> ShowS # show :: ListOperationsResponse -> String # showList :: [ListOperationsResponse] -> ShowS #
Eq ListOperationsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListOperationsResponse -> ListOperationsResponse -> Bool # (/=) :: ListOperationsResponse -> ListOperationsResponse -> Bool #

mkListOperationsResponse :: ListOperationsResponse Source #

Construct a value of type ListOperationsResponse (by applying it's required fields, if any)

ListPermissionsResponse

data ListPermissionsResponse Source #

ListPermissionsResponse Response from ListPermissions containing a paginated list of permissions.

Constructors

ListPermissionsResponse
Fields listPermissionsResponsePermissions :: !(Maybe [Permission]) "permissions" - Returned permissions. listPermissionsResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages.

Instances

Instances details

FromJSON ListPermissionsResponse Source #	FromJSON ListPermissionsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListPermissionsResponse # parseJSONList :: Value -> Parser [ListPermissionsResponse] # omittedField :: Maybe ListPermissionsResponse #
ToJSON ListPermissionsResponse Source #	ToJSON ListPermissionsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListPermissionsResponse -> Value # toEncoding :: ListPermissionsResponse -> Encoding # toJSONList :: [ListPermissionsResponse] -> Value # toEncodingList :: [ListPermissionsResponse] -> Encoding # omitField :: ListPermissionsResponse -> Bool #
Show ListPermissionsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListPermissionsResponse -> ShowS # show :: ListPermissionsResponse -> String # showList :: [ListPermissionsResponse] -> ShowS #
Eq ListPermissionsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListPermissionsResponse -> ListPermissionsResponse -> Bool # (/=) :: ListPermissionsResponse -> ListPermissionsResponse -> Bool #

mkListPermissionsResponse :: ListPermissionsResponse Source #

Construct a value of type ListPermissionsResponse (by applying it's required fields, if any)

ListTunedModelsResponse

data ListTunedModelsResponse Source #

ListTunedModelsResponse Response from ListTunedModels containing a paginated list of Models.

Constructors

ListTunedModelsResponse
Fields listTunedModelsResponseNextPageToken :: !(Maybe Text) "nextPageToken" - A token, which can be sent as `page_token` to retrieve the next page. If this field is omitted, there are no more pages. listTunedModelsResponseTunedModels :: !(Maybe [TunedModel]) "tunedModels" - The returned Models.

Instances

Instances details

FromJSON ListTunedModelsResponse Source #	FromJSON ListTunedModelsResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ListTunedModelsResponse # parseJSONList :: Value -> Parser [ListTunedModelsResponse] # omittedField :: Maybe ListTunedModelsResponse #
ToJSON ListTunedModelsResponse Source #	ToJSON ListTunedModelsResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: ListTunedModelsResponse -> Value # toEncoding :: ListTunedModelsResponse -> Encoding # toJSONList :: [ListTunedModelsResponse] -> Value # toEncodingList :: [ListTunedModelsResponse] -> Encoding # omitField :: ListTunedModelsResponse -> Bool #
Show ListTunedModelsResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ListTunedModelsResponse -> ShowS # show :: ListTunedModelsResponse -> String # showList :: [ListTunedModelsResponse] -> ShowS #
Eq ListTunedModelsResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ListTunedModelsResponse -> ListTunedModelsResponse -> Bool # (/=) :: ListTunedModelsResponse -> ListTunedModelsResponse -> Bool #

mkListTunedModelsResponse :: ListTunedModelsResponse Source #

Construct a value of type ListTunedModelsResponse (by applying it's required fields, if any)

LogprobsResult

data LogprobsResult Source #

LogprobsResult Logprobs Result

Constructors

LogprobsResult
Fields logprobsResultChosenCandidates :: !(Maybe [LogprobsResultCandidate]) "chosenCandidates" - Length = total number of decoding steps. The chosen candidates may or may not be in top_candidates. logprobsResultTopCandidates :: !(Maybe [TopCandidates]) "topCandidates" - Length = total number of decoding steps.

Instances

Instances details

FromJSON LogprobsResult Source #	FromJSON LogprobsResult
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser LogprobsResult # parseJSONList :: Value -> Parser [LogprobsResult] # omittedField :: Maybe LogprobsResult #
ToJSON LogprobsResult Source #	ToJSON LogprobsResult
Instance details Defined in GenAI.Client.Model Methods toJSON :: LogprobsResult -> Value # toEncoding :: LogprobsResult -> Encoding # toJSONList :: [LogprobsResult] -> Value # toEncodingList :: [LogprobsResult] -> Encoding # omitField :: LogprobsResult -> Bool #
Show LogprobsResult Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> LogprobsResult -> ShowS # show :: LogprobsResult -> String # showList :: [LogprobsResult] -> ShowS #
Eq LogprobsResult Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: LogprobsResult -> LogprobsResult -> Bool # (/=) :: LogprobsResult -> LogprobsResult -> Bool #

mkLogprobsResult :: LogprobsResult Source #

Construct a value of type LogprobsResult (by applying it's required fields, if any)

LogprobsResultCandidate

data LogprobsResultCandidate Source #

LogprobsResultCandidate Candidate for the logprobs token and score.

Constructors

LogprobsResultCandidate
Fields logprobsResultCandidateLogProbability :: !(Maybe Float) "logProbability" - The candidate's log probability. logprobsResultCandidateTokenId :: !(Maybe Int) "tokenId" - The candidate’s token id value. logprobsResultCandidateToken :: !(Maybe Text) "token" - The candidate’s token string value.

Instances

Instances details

FromJSON LogprobsResultCandidate Source #	FromJSON LogprobsResultCandidate
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser LogprobsResultCandidate # parseJSONList :: Value -> Parser [LogprobsResultCandidate] # omittedField :: Maybe LogprobsResultCandidate #
ToJSON LogprobsResultCandidate Source #	ToJSON LogprobsResultCandidate
Instance details Defined in GenAI.Client.Model Methods toJSON :: LogprobsResultCandidate -> Value # toEncoding :: LogprobsResultCandidate -> Encoding # toJSONList :: [LogprobsResultCandidate] -> Value # toEncodingList :: [LogprobsResultCandidate] -> Encoding # omitField :: LogprobsResultCandidate -> Bool #
Show LogprobsResultCandidate Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> LogprobsResultCandidate -> ShowS # show :: LogprobsResultCandidate -> String # showList :: [LogprobsResultCandidate] -> ShowS #
Eq LogprobsResultCandidate Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: LogprobsResultCandidate -> LogprobsResultCandidate -> Bool # (/=) :: LogprobsResultCandidate -> LogprobsResultCandidate -> Bool #

mkLogprobsResultCandidate :: LogprobsResultCandidate Source #

Construct a value of type LogprobsResultCandidate (by applying it's required fields, if any)

Media

data Media Source #

Media A proto encapsulate various type of media.

Constructors

Media
Fields mediaVideo :: !(Maybe Video) "video" - Video as the only one for now. This is mimicking Vertex proto.

Instances

Instances details

FromJSON Media Source #	FromJSON Media
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Media # parseJSONList :: Value -> Parser [Media] # omittedField :: Maybe Media #
ToJSON Media Source #	ToJSON Media
Instance details Defined in GenAI.Client.Model Methods toJSON :: Media -> Value # toEncoding :: Media -> Encoding # toJSONList :: [Media] -> Value # toEncodingList :: [Media] -> Encoding # omitField :: Media -> Bool #
Show Media Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Media -> ShowS # show :: Media -> String # showList :: [Media] -> ShowS #
Eq Media Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Media -> Media -> Bool # (/=) :: Media -> Media -> Bool #

mkMedia :: Media Source #

Construct a value of type Media (by applying it's required fields, if any)

Message

data Message Source #

Message The base unit of structured text. A Message includes an author and the content of the Message. The author is used to tag messages when they are fed to the model as text.

Constructors

Message

Fields

messageCitationMetadata :: !(Maybe CitationMetadata)
ReadOnly "citationMetadata" - Output only. Citation information for model-generated `content` in this `Message`. If this `Message` was generated as output from the model, this field may be populated with attribution information for any text included in the `content`. This field is used only on output.
messageAuthor :: !(Maybe Text)
"author" - Optional. The author of this Message. This serves as a key for tagging the content of this Message when it is fed to the model as text. The author can be any alphanumeric string.
messageContent :: !Text
Required "content" - Required. The text content of the structured `Message`.

Instances

Instances details

FromJSON Message Source #	FromJSON Message
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Message # parseJSONList :: Value -> Parser [Message] # omittedField :: Maybe Message #
ToJSON Message Source #	ToJSON Message
Instance details Defined in GenAI.Client.Model Methods toJSON :: Message -> Value # toEncoding :: Message -> Encoding # toJSONList :: [Message] -> Value # toEncodingList :: [Message] -> Encoding # omitField :: Message -> Bool #
Show Message Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Message -> ShowS # show :: Message -> String # showList :: [Message] -> ShowS #
Eq Message Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Message -> Message -> Bool # (/=) :: Message -> Message -> Bool #

mkMessage Source #

Arguments

:: Text	`messageContent`: Required. The text content of the structured `Message`.
-> Message

Construct a value of type Message (by applying it's required fields, if any)

MessagePrompt

data MessagePrompt Source #

MessagePrompt All of the structured input text passed to the model as a prompt. A MessagePrompt contains a structured set of fields that provide context for the conversation, examples of user input/model output message pairs that prime the model to respond in different ways, and the conversation history or list of messages representing the alternating turns of the conversation between the user and the model.

Constructors

MessagePrompt

Fields

messagePromptContext :: !(Maybe Text)
"context" - Optional. Text that should be provided to the model first to ground the response. If not empty, this `context` will be given to the model first before the `examples` and `messages`. When using a `context` be sure to provide it with every request to maintain continuity. This field can be a description of your prompt to the model to help provide context and guide the responses. Examples: "Translate the phrase from English to French." or "Given a statement, classify the sentiment as happy, sad or neutral." Anything included in this field will take precedence over message history if the total input size exceeds the model's `input_token_limit` and the input request is truncated.
messagePromptMessages :: ![Message]
Required "messages" - Required. A snapshot of the recent conversation history sorted chronologically. Turns alternate between two authors. If the total input size exceeds the model's `input_token_limit` the input will be truncated: The oldest items will be dropped from `messages`.
messagePromptExamples :: !(Maybe [Example])
"examples" - Optional. Examples of what the model should generate. This includes both user input and the response that the model should emulate. These `examples` are treated identically to conversation messages except that they take precedence over the history in `messages`: If the total input size exceeds the model's `input_token_limit` the input will be truncated. Items will be dropped from `messages` before `examples`.

Instances

Instances details

FromJSON MessagePrompt Source #	FromJSON MessagePrompt
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser MessagePrompt # parseJSONList :: Value -> Parser [MessagePrompt] # omittedField :: Maybe MessagePrompt #
ToJSON MessagePrompt Source #	ToJSON MessagePrompt
Instance details Defined in GenAI.Client.Model Methods toJSON :: MessagePrompt -> Value # toEncoding :: MessagePrompt -> Encoding # toJSONList :: [MessagePrompt] -> Value # toEncodingList :: [MessagePrompt] -> Encoding # omitField :: MessagePrompt -> Bool #
Show MessagePrompt Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> MessagePrompt -> ShowS # show :: MessagePrompt -> String # showList :: [MessagePrompt] -> ShowS #
Eq MessagePrompt Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: MessagePrompt -> MessagePrompt -> Bool # (/=) :: MessagePrompt -> MessagePrompt -> Bool #

mkMessagePrompt Source #

Arguments

:: [Message]	`messagePromptMessages`: Required. A snapshot of the recent conversation history sorted chronologically. Turns alternate between two authors. If the total input size exceeds the model's `input_token_limit` the input will be truncated: The oldest items will be dropped from `messages`.
-> MessagePrompt

Construct a value of type MessagePrompt (by applying it's required fields, if any)

MetadataFilter

data MetadataFilter Source #

MetadataFilter User provided filter to limit retrieval based on Chunk or Document level metadata values. Example (genre = drama OR genre = action): key = "document.custom_metadata.genre" conditions = [{string_value = "drama", operation = EQUAL}, {string_value = "action", operation = EQUAL}]

Constructors

MetadataFilter
Fields metadataFilterConditions :: ![Condition] Required "conditions" - Required. The `Condition`s for the given key that will trigger this filter. Multiple `Condition`s are joined by logical ORs. metadataFilterKey :: !Text Required "key" - Required. The key of the metadata to filter on.

Instances

Instances details

FromJSON MetadataFilter Source #	FromJSON MetadataFilter
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser MetadataFilter # parseJSONList :: Value -> Parser [MetadataFilter] # omittedField :: Maybe MetadataFilter #
ToJSON MetadataFilter Source #	ToJSON MetadataFilter
Instance details Defined in GenAI.Client.Model Methods toJSON :: MetadataFilter -> Value # toEncoding :: MetadataFilter -> Encoding # toJSONList :: [MetadataFilter] -> Value # toEncodingList :: [MetadataFilter] -> Encoding # omitField :: MetadataFilter -> Bool #
Show MetadataFilter Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> MetadataFilter -> ShowS # show :: MetadataFilter -> String # showList :: [MetadataFilter] -> ShowS #
Eq MetadataFilter Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: MetadataFilter -> MetadataFilter -> Bool # (/=) :: MetadataFilter -> MetadataFilter -> Bool #

mkMetadataFilter Source #

Arguments

:: [Condition]	`metadataFilterConditions`: Required. The `Condition`s for the given key that will trigger this filter. Multiple `Condition`s are joined by logical ORs.
-> Text	`metadataFilterKey`: Required. The key of the metadata to filter on.
-> MetadataFilter

Construct a value of type MetadataFilter (by applying it's required fields, if any)

ModalityTokenCount

data ModalityTokenCount Source #

ModalityTokenCount Represents token counting info for a single modality.

Constructors

ModalityTokenCount
Fields modalityTokenCountTokenCount :: !(Maybe Int) "tokenCount" - Number of tokens. modalityTokenCountModality :: !(Maybe Modality) "modality" - The modality associated with this token count.

Instances

Instances details

FromJSON ModalityTokenCount Source #	FromJSON ModalityTokenCount
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ModalityTokenCount # parseJSONList :: Value -> Parser [ModalityTokenCount] # omittedField :: Maybe ModalityTokenCount #
ToJSON ModalityTokenCount Source #	ToJSON ModalityTokenCount
Instance details Defined in GenAI.Client.Model Methods toJSON :: ModalityTokenCount -> Value # toEncoding :: ModalityTokenCount -> Encoding # toJSONList :: [ModalityTokenCount] -> Value # toEncodingList :: [ModalityTokenCount] -> Encoding # omitField :: ModalityTokenCount -> Bool #
Show ModalityTokenCount Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ModalityTokenCount -> ShowS # show :: ModalityTokenCount -> String # showList :: [ModalityTokenCount] -> ShowS #
Eq ModalityTokenCount Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ModalityTokenCount -> ModalityTokenCount -> Bool # (/=) :: ModalityTokenCount -> ModalityTokenCount -> Bool #

mkModalityTokenCount :: ModalityTokenCount Source #

Construct a value of type ModalityTokenCount (by applying it's required fields, if any)

Model

data Model Source #

Model Information about a Generative Language Model.

Constructors

Model

Fields

modelTopK :: !(Maybe Int)
"topK" - 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.
modelName :: !Text
Required "name" - Required. The resource name of the `Model`. Refer to Model variants for all allowed values. Format: `models{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `modelsgemini-1.5-flash-001`
modelBaseModelId :: !Text
Required "baseModelId" - Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`
modelVersion :: !Text
Required "version" - Required. The version number of the model. This represents the major version (`1.0` or `1.5`)
modelInputTokenLimit :: !(Maybe Int)
"inputTokenLimit" - Maximum number of input tokens allowed for this model.
modelTopP :: !(Maybe Float)
"topP" - 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 used by the backend while making the call to the model.
modelSupportedGenerationMethods :: !(Maybe [Text])
"supportedGenerationMethods" - The model's supported generation methods. The corresponding API method names are defined as Pascal case strings, such as `generateMessage` and `generateContent`.
modelTemperature :: !(Maybe Float)
"temperature" - 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.
modelDisplayName :: !(Maybe Text)
"displayName" - 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.
modelDescription :: !(Maybe Text)
"description" - A short description of the model.
modelMaxTemperature :: !(Maybe Float)
"maxTemperature" - The maximum temperature this model can use.
modelOutputTokenLimit :: !(Maybe Int)
"outputTokenLimit" - Maximum number of output tokens available for this model.

Instances

Instances details

FromJSON Model Source #	FromJSON Model
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Model # parseJSONList :: Value -> Parser [Model] # omittedField :: Maybe Model #
ToJSON Model Source #	ToJSON Model
Instance details Defined in GenAI.Client.Model Methods toJSON :: Model -> Value # toEncoding :: Model -> Encoding # toJSONList :: [Model] -> Value # toEncodingList :: [Model] -> Encoding # omitField :: Model -> Bool #
Show Model Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Model -> ShowS # show :: Model -> String # showList :: [Model] -> ShowS #
Eq Model Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Model -> Model -> Bool # (/=) :: Model -> Model -> Bool #

mkModel Source #

Arguments

:: Text	`modelName`: Required. The resource name of the `Model`. Refer to Model variants for all allowed values. Format: `models{model}` with a `{model}` naming convention of: * "{base_model_id}-{version}" Examples: * `modelsgemini-1.5-flash-001`
-> Text	`modelBaseModelId`: Required. The name of the base model, pass this to the generation request. Examples: * `gemini-1.5-flash`
-> Text	`modelVersion`: Required. The version number of the model. This represents the major version (`1.0` or `1.5`)
-> Model

Construct a value of type Model (by applying it's required fields, if any)

MultiSpeakerVoiceConfig

data MultiSpeakerVoiceConfig Source #

MultiSpeakerVoiceConfig The configuration for the multi-speaker setup.

Constructors

MultiSpeakerVoiceConfig
Fields multiSpeakerVoiceConfigSpeakerVoiceConfigs :: ![SpeakerVoiceConfig] Required "speakerVoiceConfigs" - Required. All the enabled speaker voices.

Instances

Instances details

FromJSON MultiSpeakerVoiceConfig Source #	FromJSON MultiSpeakerVoiceConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser MultiSpeakerVoiceConfig # parseJSONList :: Value -> Parser [MultiSpeakerVoiceConfig] # omittedField :: Maybe MultiSpeakerVoiceConfig #
ToJSON MultiSpeakerVoiceConfig Source #	ToJSON MultiSpeakerVoiceConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: MultiSpeakerVoiceConfig -> Value # toEncoding :: MultiSpeakerVoiceConfig -> Encoding # toJSONList :: [MultiSpeakerVoiceConfig] -> Value # toEncodingList :: [MultiSpeakerVoiceConfig] -> Encoding # omitField :: MultiSpeakerVoiceConfig -> Bool #
Show MultiSpeakerVoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> MultiSpeakerVoiceConfig -> ShowS # show :: MultiSpeakerVoiceConfig -> String # showList :: [MultiSpeakerVoiceConfig] -> ShowS #
Eq MultiSpeakerVoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: MultiSpeakerVoiceConfig -> MultiSpeakerVoiceConfig -> Bool # (/=) :: MultiSpeakerVoiceConfig -> MultiSpeakerVoiceConfig -> Bool #

mkMultiSpeakerVoiceConfig Source #

Arguments

:: [SpeakerVoiceConfig]	`multiSpeakerVoiceConfigSpeakerVoiceConfigs`: Required. All the enabled speaker voices.
-> MultiSpeakerVoiceConfig

Construct a value of type MultiSpeakerVoiceConfig (by applying it's required fields, if any)

Operation

data Operation Source #

Operation This resource represents a long-running operation that is the result of a network API call.

Constructors

Operation

Fields

operationDone :: !(Maybe Bool)
"done" - 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.
operationName :: !(Maybe Text)
"name" - 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}`.
operationError :: !(Maybe Status)
"error" - The error result of the operation in case of failure or cancellation.
operationMetadata :: !(Maybe (Map String String))
"metadata" - 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.
operationResponse :: !(Maybe (Map String String))
"response" - 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`.

Instances

Instances details

FromJSON Operation Source #	FromJSON Operation
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Operation # parseJSONList :: Value -> Parser [Operation] # omittedField :: Maybe Operation #
ToJSON Operation Source #	ToJSON Operation
Instance details Defined in GenAI.Client.Model Methods toJSON :: Operation -> Value # toEncoding :: Operation -> Encoding # toJSONList :: [Operation] -> Value # toEncodingList :: [Operation] -> Encoding # omitField :: Operation -> Bool #
Show Operation Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Operation -> ShowS # show :: Operation -> String # showList :: [Operation] -> ShowS #
Eq Operation Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Operation -> Operation -> Bool # (/=) :: Operation -> Operation -> Bool #

mkOperation :: Operation Source #

Construct a value of type Operation (by applying it's required fields, if any)

Part

data Part Source #

Part 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.

Constructors

Part

Fields

partInlineData :: !(Maybe Blob)
"inlineData" - Inline media bytes.
partFunctionResponse :: !(Maybe FunctionResponse)
"functionResponse" - 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.
partCodeExecutionResult :: !(Maybe CodeExecutionResult)
"codeExecutionResult" - Result of executing the `ExecutableCode`.
partFileData :: !(Maybe FileData)
"fileData" - URI based data.
partExecutableCode :: !(Maybe ExecutableCode)
"executableCode" - Code generated by the model that is meant to be executed.
partVideoMetadata :: !(Maybe VideoMetadata)
"videoMetadata" - Optional. Video metadata. The metadata should only be specified while the video data is presented in inline_data or file_data.
partThought :: !(Maybe Bool)
"thought" - Optional. Indicates if the part is thought from the model.
partText :: !(Maybe Text)
"text" - Inline text.
partThoughtSignature :: !(Maybe ByteArray)
"thoughtSignature" - Optional. An opaque signature for the thought so it can be reused in subsequent requests.
partFunctionCall :: !(Maybe FunctionCall)
"functionCall" - A predicted `FunctionCall` returned from the model that contains a string representing the `FunctionDeclaration.name` with the arguments and their values.

Instances

Instances details

FromJSON Part Source #	FromJSON Part
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Part # parseJSONList :: Value -> Parser [Part] # omittedField :: Maybe Part #
ToJSON Part Source #	ToJSON Part
Instance details Defined in GenAI.Client.Model Methods toJSON :: Part -> Value # toEncoding :: Part -> Encoding # toJSONList :: [Part] -> Value # toEncodingList :: [Part] -> Encoding # omitField :: Part -> Bool #
Show Part Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Part -> ShowS # show :: Part -> String # showList :: [Part] -> ShowS #
Eq Part Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Part -> Part -> Bool # (/=) :: Part -> Part -> Bool #

mkPart :: Part Source #

Construct a value of type Part (by applying it's required fields, if any)

Permission

data Permission Source #

Permission 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

Constructors

Permission

Fields

permissionName :: !(Maybe Text)
ReadOnly "name" - 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.
permissionGranteeType :: !(Maybe E'GranteeType)
"granteeType" - Optional. Immutable. The type of the grantee.
permissionRole :: !E'Role
Required "role" - Required. The role granted by this permission.
permissionEmailAddress :: !(Maybe Text)
"emailAddress" - 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.

Instances

Instances details

FromJSON Permission Source #	FromJSON Permission
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Permission # parseJSONList :: Value -> Parser [Permission] # omittedField :: Maybe Permission #
ToJSON Permission Source #	ToJSON Permission
Instance details Defined in GenAI.Client.Model Methods toJSON :: Permission -> Value # toEncoding :: Permission -> Encoding # toJSONList :: [Permission] -> Value # toEncodingList :: [Permission] -> Encoding # omitField :: Permission -> Bool #
Show Permission Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Permission -> ShowS # show :: Permission -> String # showList :: [Permission] -> ShowS #
Eq Permission Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Permission -> Permission -> Bool # (/=) :: Permission -> Permission -> Bool #
HasBodyParam CreatePermission Permission Source #	Body Param Permission - Required. The permission to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreatePermission contentType, MimeRender contentType Permission) => ClientRequest CreatePermission contentType res accept -> Permission -> ClientRequest CreatePermission contentType res accept Source #
HasBodyParam CreatePermissionByCorpus Permission Source #	Body Param Permission - Required. The permission to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreatePermissionByCorpus contentType, MimeRender contentType Permission) => ClientRequest CreatePermissionByCorpus contentType res accept -> Permission -> ClientRequest CreatePermissionByCorpus contentType res accept Source #
HasBodyParam UpdatePermission Permission Source #	Body Param Permission - Required. The permission to update. The permission's `name` field is used to identify the permission to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdatePermission contentType, MimeRender contentType Permission) => ClientRequest UpdatePermission contentType res accept -> Permission -> ClientRequest UpdatePermission contentType res accept Source #
HasBodyParam UpdatePermissionByCorpusAndPermission Permission Source #	Body Param Permission - Required. The permission to update. The permission's `name` field is used to identify the permission to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdatePermissionByCorpusAndPermission contentType, MimeRender contentType Permission) => ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept -> Permission -> ClientRequest UpdatePermissionByCorpusAndPermission contentType res accept Source #

mkPermission Source #

Arguments

:: E'Role	`permissionRole`: Required. The role granted by this permission.
-> Permission

Construct a value of type Permission (by applying it's required fields, if any)

PrebuiltVoiceConfig

data PrebuiltVoiceConfig Source #

PrebuiltVoiceConfig The configuration for the prebuilt speaker to use.

Constructors

PrebuiltVoiceConfig
Fields prebuiltVoiceConfigVoiceName :: !(Maybe Text) "voiceName" - The name of the preset voice to use.

Instances

Instances details

FromJSON PrebuiltVoiceConfig Source #	FromJSON PrebuiltVoiceConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PrebuiltVoiceConfig # parseJSONList :: Value -> Parser [PrebuiltVoiceConfig] # omittedField :: Maybe PrebuiltVoiceConfig #
ToJSON PrebuiltVoiceConfig Source #	ToJSON PrebuiltVoiceConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: PrebuiltVoiceConfig -> Value # toEncoding :: PrebuiltVoiceConfig -> Encoding # toJSONList :: [PrebuiltVoiceConfig] -> Value # toEncodingList :: [PrebuiltVoiceConfig] -> Encoding # omitField :: PrebuiltVoiceConfig -> Bool #
Show PrebuiltVoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PrebuiltVoiceConfig -> ShowS # show :: PrebuiltVoiceConfig -> String # showList :: [PrebuiltVoiceConfig] -> ShowS #
Eq PrebuiltVoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PrebuiltVoiceConfig -> PrebuiltVoiceConfig -> Bool # (/=) :: PrebuiltVoiceConfig -> PrebuiltVoiceConfig -> Bool #

mkPrebuiltVoiceConfig :: PrebuiltVoiceConfig Source #

Construct a value of type PrebuiltVoiceConfig (by applying it's required fields, if any)

PredictLongRunningOperation

data PredictLongRunningOperation Source #

PredictLongRunningOperation This resource represents a long-running operation where metadata and response fields are strongly typed.

Constructors

PredictLongRunningOperation

Fields

predictLongRunningOperationDone :: !(Maybe Bool)
"done" - 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.
predictLongRunningOperationName :: !(Maybe Text)
"name" - 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}`.
predictLongRunningOperationError :: !(Maybe Status)
"error" - The error result of the operation in case of failure or cancellation.
predictLongRunningOperationMetadata :: !(Maybe Value)
"metadata" - Metadata for PredictLongRunning long running operations.
predictLongRunningOperationResponse :: !(Maybe PredictLongRunningResponse)
"response"

Instances

Instances details

FromJSON PredictLongRunningOperation Source #	FromJSON PredictLongRunningOperation
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PredictLongRunningOperation # parseJSONList :: Value -> Parser [PredictLongRunningOperation] # omittedField :: Maybe PredictLongRunningOperation #
ToJSON PredictLongRunningOperation Source #	ToJSON PredictLongRunningOperation
Instance details Defined in GenAI.Client.Model Methods toJSON :: PredictLongRunningOperation -> Value # toEncoding :: PredictLongRunningOperation -> Encoding # toJSONList :: [PredictLongRunningOperation] -> Value # toEncodingList :: [PredictLongRunningOperation] -> Encoding # omitField :: PredictLongRunningOperation -> Bool #
Show PredictLongRunningOperation Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PredictLongRunningOperation -> ShowS # show :: PredictLongRunningOperation -> String # showList :: [PredictLongRunningOperation] -> ShowS #
Eq PredictLongRunningOperation Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PredictLongRunningOperation -> PredictLongRunningOperation -> Bool # (/=) :: PredictLongRunningOperation -> PredictLongRunningOperation -> Bool #

mkPredictLongRunningOperation :: PredictLongRunningOperation Source #

Construct a value of type PredictLongRunningOperation (by applying it's required fields, if any)

PredictLongRunningRequest

data PredictLongRunningRequest Source #

PredictLongRunningRequest Request message for [PredictionService.PredictLongRunning].

Constructors

PredictLongRunningRequest
Fields predictLongRunningRequestParameters :: !(Maybe String) "parameters" - Optional. The parameters that govern the prediction call. predictLongRunningRequestInstances :: ![String] Required "instances" - Required. The instances that are the input to the prediction call.

Instances

Instances details

FromJSON PredictLongRunningRequest Source #	FromJSON PredictLongRunningRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PredictLongRunningRequest # parseJSONList :: Value -> Parser [PredictLongRunningRequest] # omittedField :: Maybe PredictLongRunningRequest #
ToJSON PredictLongRunningRequest Source #	ToJSON PredictLongRunningRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: PredictLongRunningRequest -> Value # toEncoding :: PredictLongRunningRequest -> Encoding # toJSONList :: [PredictLongRunningRequest] -> Value # toEncodingList :: [PredictLongRunningRequest] -> Encoding # omitField :: PredictLongRunningRequest -> Bool #
Show PredictLongRunningRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PredictLongRunningRequest -> ShowS # show :: PredictLongRunningRequest -> String # showList :: [PredictLongRunningRequest] -> ShowS #
Eq PredictLongRunningRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PredictLongRunningRequest -> PredictLongRunningRequest -> Bool # (/=) :: PredictLongRunningRequest -> PredictLongRunningRequest -> Bool #
HasBodyParam PredictLongRunning PredictLongRunningRequest Source #	Body Param PredictLongRunningRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes PredictLongRunning contentType, MimeRender contentType PredictLongRunningRequest) => ClientRequest PredictLongRunning contentType res accept -> PredictLongRunningRequest -> ClientRequest PredictLongRunning contentType res accept Source #

mkPredictLongRunningRequest Source #

Arguments

:: [String]	`predictLongRunningRequestInstances`: Required. The instances that are the input to the prediction call.
-> PredictLongRunningRequest

Construct a value of type PredictLongRunningRequest (by applying it's required fields, if any)

PredictLongRunningResponse

data PredictLongRunningResponse Source #

PredictLongRunningResponse Response message for [PredictionService.PredictLongRunning]

Constructors

PredictLongRunningResponse
Fields predictLongRunningResponseGenerateVideoResponse :: !(Maybe GenerateVideoResponse) "generateVideoResponse" - The response of the video generation prediction.

Instances

Instances details

FromJSON PredictLongRunningResponse Source #	FromJSON PredictLongRunningResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PredictLongRunningResponse # parseJSONList :: Value -> Parser [PredictLongRunningResponse] # omittedField :: Maybe PredictLongRunningResponse #
ToJSON PredictLongRunningResponse Source #	ToJSON PredictLongRunningResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: PredictLongRunningResponse -> Value # toEncoding :: PredictLongRunningResponse -> Encoding # toJSONList :: [PredictLongRunningResponse] -> Value # toEncodingList :: [PredictLongRunningResponse] -> Encoding # omitField :: PredictLongRunningResponse -> Bool #
Show PredictLongRunningResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PredictLongRunningResponse -> ShowS # show :: PredictLongRunningResponse -> String # showList :: [PredictLongRunningResponse] -> ShowS #
Eq PredictLongRunningResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PredictLongRunningResponse -> PredictLongRunningResponse -> Bool # (/=) :: PredictLongRunningResponse -> PredictLongRunningResponse -> Bool #

mkPredictLongRunningResponse :: PredictLongRunningResponse Source #

Construct a value of type PredictLongRunningResponse (by applying it's required fields, if any)

PredictRequest

data PredictRequest Source #

PredictRequest Request message for PredictionService.Predict.

Constructors

PredictRequest
Fields predictRequestInstances :: ![String] Required "instances" - Required. The instances that are the input to the prediction call. predictRequestParameters :: !(Maybe String) "parameters" - Optional. The parameters that govern the prediction call.

Instances

Instances details

FromJSON PredictRequest Source #	FromJSON PredictRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PredictRequest # parseJSONList :: Value -> Parser [PredictRequest] # omittedField :: Maybe PredictRequest #
ToJSON PredictRequest Source #	ToJSON PredictRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: PredictRequest -> Value # toEncoding :: PredictRequest -> Encoding # toJSONList :: [PredictRequest] -> Value # toEncodingList :: [PredictRequest] -> Encoding # omitField :: PredictRequest -> Bool #
Show PredictRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PredictRequest -> ShowS # show :: PredictRequest -> String # showList :: [PredictRequest] -> ShowS #
Eq PredictRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PredictRequest -> PredictRequest -> Bool # (/=) :: PredictRequest -> PredictRequest -> Bool #
HasBodyParam Predict PredictRequest Source #	Body Param PredictRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes Predict contentType, MimeRender contentType PredictRequest) => ClientRequest Predict contentType res accept -> PredictRequest -> ClientRequest Predict contentType res accept Source #

mkPredictRequest Source #

Arguments

:: [String]	`predictRequestInstances`: Required. The instances that are the input to the prediction call.
-> PredictRequest

Construct a value of type PredictRequest (by applying it's required fields, if any)

PredictResponse

data PredictResponse Source #

PredictResponse Response message for [PredictionService.Predict].

Constructors

PredictResponse
Fields predictResponsePredictions :: !(Maybe [String]) "predictions" - The outputs of the prediction call.

Instances

Instances details

FromJSON PredictResponse Source #	FromJSON PredictResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PredictResponse # parseJSONList :: Value -> Parser [PredictResponse] # omittedField :: Maybe PredictResponse #
ToJSON PredictResponse Source #	ToJSON PredictResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: PredictResponse -> Value # toEncoding :: PredictResponse -> Encoding # toJSONList :: [PredictResponse] -> Value # toEncodingList :: [PredictResponse] -> Encoding # omitField :: PredictResponse -> Bool #
Show PredictResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PredictResponse -> ShowS # show :: PredictResponse -> String # showList :: [PredictResponse] -> ShowS #
Eq PredictResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PredictResponse -> PredictResponse -> Bool # (/=) :: PredictResponse -> PredictResponse -> Bool #

mkPredictResponse :: PredictResponse Source #

Construct a value of type PredictResponse (by applying it's required fields, if any)

PromptFeedback

data PromptFeedback Source #

PromptFeedback A set of the feedback metadata the prompt specified in content.

Constructors

PromptFeedback
Fields promptFeedbackBlockReason :: !(Maybe E'BlockReason) "blockReason" - Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt. promptFeedbackSafetyRatings :: !(Maybe [SafetyRating]) "safetyRatings" - Ratings for safety of the prompt. There is at most one rating per category.

Instances

Instances details

FromJSON PromptFeedback Source #	FromJSON PromptFeedback
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser PromptFeedback # parseJSONList :: Value -> Parser [PromptFeedback] # omittedField :: Maybe PromptFeedback #
ToJSON PromptFeedback Source #	ToJSON PromptFeedback
Instance details Defined in GenAI.Client.Model Methods toJSON :: PromptFeedback -> Value # toEncoding :: PromptFeedback -> Encoding # toJSONList :: [PromptFeedback] -> Value # toEncodingList :: [PromptFeedback] -> Encoding # omitField :: PromptFeedback -> Bool #
Show PromptFeedback Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> PromptFeedback -> ShowS # show :: PromptFeedback -> String # showList :: [PromptFeedback] -> ShowS #
Eq PromptFeedback Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: PromptFeedback -> PromptFeedback -> Bool # (/=) :: PromptFeedback -> PromptFeedback -> Bool #

mkPromptFeedback :: PromptFeedback Source #

Construct a value of type PromptFeedback (by applying it's required fields, if any)

QueryCorpusRequest

data QueryCorpusRequest Source #

QueryCorpusRequest Request for querying a Corpus.

Constructors

QueryCorpusRequest

Fields

queryCorpusRequestMetadataFilters :: !(Maybe [MetadataFilter])
"metadataFilters" - Optional. Filter for `Chunk` and `Document` metadata. Each `MetadataFilter` object should correspond to a unique key. Multiple `MetadataFilter` objects are joined by logical "AND"s. Example query at document level: (year >= 2020 OR year < 2010) AND (genre = drama OR genre = action) `MetadataFilter` object list: metadata_filters = [ {key = "document.custom_metadata.year" conditions = [{int_value = 2020, operation = GREATER_EQUAL}, {int_value = 2010, operation = LESS}]}, {key = "document.custom_metadata.year" conditions = [{int_value = 2020, operation = GREATER_EQUAL}, {int_value = 2010, operation = LESS}]}, {key = "document.custom_metadata.genre" conditions = [{string_value = "drama", operation = EQUAL}, {string_value = "action", operation = EQUAL}]}] Example query at chunk level for a numeric range of values: (year > 2015 AND year <= 2020) `MetadataFilter` object list: metadata_filters = [ {key = "chunk.custom_metadata.year" conditions = [{int_value = 2015, operation = GREATER}]}, {key = "chunk.custom_metadata.year" conditions = [{int_value = 2020, operation = LESS_EQUAL}]}] Note: "AND"s for the same key are only supported for numeric values. String values only support "OR"s for the same key.
queryCorpusRequestQuery :: !Text
Required "query" - Required. Query string to perform semantic search.
queryCorpusRequestResultsCount :: !(Maybe Int)
"resultsCount" - Optional. The maximum number of `Chunk`s to return. The service may return fewer `Chunk`s. If unspecified, at most 10 `Chunk`s will be returned. The maximum specified result count is 100.

Instances

Instances details

FromJSON QueryCorpusRequest Source #	FromJSON QueryCorpusRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser QueryCorpusRequest # parseJSONList :: Value -> Parser [QueryCorpusRequest] # omittedField :: Maybe QueryCorpusRequest #
ToJSON QueryCorpusRequest Source #	ToJSON QueryCorpusRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: QueryCorpusRequest -> Value # toEncoding :: QueryCorpusRequest -> Encoding # toJSONList :: [QueryCorpusRequest] -> Value # toEncodingList :: [QueryCorpusRequest] -> Encoding # omitField :: QueryCorpusRequest -> Bool #
Show QueryCorpusRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> QueryCorpusRequest -> ShowS # show :: QueryCorpusRequest -> String # showList :: [QueryCorpusRequest] -> ShowS #
Eq QueryCorpusRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: QueryCorpusRequest -> QueryCorpusRequest -> Bool # (/=) :: QueryCorpusRequest -> QueryCorpusRequest -> Bool #
HasBodyParam QueryCorpus QueryCorpusRequest Source #	Body Param QueryCorpusRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes QueryCorpus contentType, MimeRender contentType QueryCorpusRequest) => ClientRequest QueryCorpus contentType res accept -> QueryCorpusRequest -> ClientRequest QueryCorpus contentType res accept Source #

mkQueryCorpusRequest Source #

Arguments

:: Text	`queryCorpusRequestQuery`: Required. Query string to perform semantic search.
-> QueryCorpusRequest

Construct a value of type QueryCorpusRequest (by applying it's required fields, if any)

QueryCorpusResponse

data QueryCorpusResponse Source #

QueryCorpusResponse Response from QueryCorpus containing a list of relevant chunks.

Constructors

QueryCorpusResponse
Fields queryCorpusResponseRelevantChunks :: !(Maybe [RelevantChunk]) "relevantChunks" - The relevant chunks.

Instances

Instances details

FromJSON QueryCorpusResponse Source #	FromJSON QueryCorpusResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser QueryCorpusResponse # parseJSONList :: Value -> Parser [QueryCorpusResponse] # omittedField :: Maybe QueryCorpusResponse #
ToJSON QueryCorpusResponse Source #	ToJSON QueryCorpusResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: QueryCorpusResponse -> Value # toEncoding :: QueryCorpusResponse -> Encoding # toJSONList :: [QueryCorpusResponse] -> Value # toEncodingList :: [QueryCorpusResponse] -> Encoding # omitField :: QueryCorpusResponse -> Bool #
Show QueryCorpusResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> QueryCorpusResponse -> ShowS # show :: QueryCorpusResponse -> String # showList :: [QueryCorpusResponse] -> ShowS #
Eq QueryCorpusResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: QueryCorpusResponse -> QueryCorpusResponse -> Bool # (/=) :: QueryCorpusResponse -> QueryCorpusResponse -> Bool #

mkQueryCorpusResponse :: QueryCorpusResponse Source #

Construct a value of type QueryCorpusResponse (by applying it's required fields, if any)

QueryDocumentRequest

data QueryDocumentRequest Source #

QueryDocumentRequest Request for querying a Document.

Constructors

QueryDocumentRequest

Fields

queryDocumentRequestQuery :: !Text
Required "query" - Required. Query string to perform semantic search.
queryDocumentRequestResultsCount :: !(Maybe Int)
"resultsCount" - Optional. The maximum number of `Chunk`s to return. The service may return fewer `Chunk`s. If unspecified, at most 10 `Chunk`s will be returned. The maximum specified result count is 100.
queryDocumentRequestMetadataFilters :: !(Maybe [MetadataFilter])
"metadataFilters" - Optional. Filter for `Chunk` metadata. Each `MetadataFilter` object should correspond to a unique key. Multiple `MetadataFilter` objects are joined by logical "AND"s. Note: `Document`-level filtering is not supported for this request because a `Document` name is already specified. Example query: (year >= 2020 OR year < 2010) AND (genre = drama OR genre = action) `MetadataFilter` object list: metadata_filters = [ {key = "chunk.custom_metadata.year" conditions = [{int_value = 2020, operation = GREATER_EQUAL}, {int_value = 2010, operation = LESS}}, {key = "chunk.custom_metadata.genre" conditions = [{string_value = "drama", operation = EQUAL}, {string_value = "action", operation = EQUAL}}] Example query for a numeric range of values: (year > 2015 AND year <= 2020) `MetadataFilter` object list: metadata_filters = [ {key = "chunk.custom_metadata.year" conditions = [{int_value = 2015, operation = GREATER}]}, {key = "chunk.custom_metadata.year" conditions = [{int_value = 2020, operation = LESS_EQUAL}]}] Note: "AND"s for the same key are only supported for numeric values. String values only support "OR"s for the same key.

Instances

Instances details

FromJSON QueryDocumentRequest Source #	FromJSON QueryDocumentRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser QueryDocumentRequest # parseJSONList :: Value -> Parser [QueryDocumentRequest] # omittedField :: Maybe QueryDocumentRequest #
ToJSON QueryDocumentRequest Source #	ToJSON QueryDocumentRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: QueryDocumentRequest -> Value # toEncoding :: QueryDocumentRequest -> Encoding # toJSONList :: [QueryDocumentRequest] -> Value # toEncodingList :: [QueryDocumentRequest] -> Encoding # omitField :: QueryDocumentRequest -> Bool #
Show QueryDocumentRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> QueryDocumentRequest -> ShowS # show :: QueryDocumentRequest -> String # showList :: [QueryDocumentRequest] -> ShowS #
Eq QueryDocumentRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: QueryDocumentRequest -> QueryDocumentRequest -> Bool # (/=) :: QueryDocumentRequest -> QueryDocumentRequest -> Bool #
HasBodyParam QueryDocument QueryDocumentRequest Source #	Body Param QueryDocumentRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes QueryDocument contentType, MimeRender contentType QueryDocumentRequest) => ClientRequest QueryDocument contentType res accept -> QueryDocumentRequest -> ClientRequest QueryDocument contentType res accept Source #

mkQueryDocumentRequest Source #

Arguments

:: Text	`queryDocumentRequestQuery`: Required. Query string to perform semantic search.
-> QueryDocumentRequest

Construct a value of type QueryDocumentRequest (by applying it's required fields, if any)

QueryDocumentResponse

data QueryDocumentResponse Source #

QueryDocumentResponse Response from QueryDocument containing a list of relevant chunks.

Constructors

QueryDocumentResponse
Fields queryDocumentResponseRelevantChunks :: !(Maybe [RelevantChunk]) "relevantChunks" - The returned relevant chunks.

Instances

Instances details

FromJSON QueryDocumentResponse Source #	FromJSON QueryDocumentResponse
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser QueryDocumentResponse # parseJSONList :: Value -> Parser [QueryDocumentResponse] # omittedField :: Maybe QueryDocumentResponse #
ToJSON QueryDocumentResponse Source #	ToJSON QueryDocumentResponse
Instance details Defined in GenAI.Client.Model Methods toJSON :: QueryDocumentResponse -> Value # toEncoding :: QueryDocumentResponse -> Encoding # toJSONList :: [QueryDocumentResponse] -> Value # toEncodingList :: [QueryDocumentResponse] -> Encoding # omitField :: QueryDocumentResponse -> Bool #
Show QueryDocumentResponse Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> QueryDocumentResponse -> ShowS # show :: QueryDocumentResponse -> String # showList :: [QueryDocumentResponse] -> ShowS #
Eq QueryDocumentResponse Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: QueryDocumentResponse -> QueryDocumentResponse -> Bool # (/=) :: QueryDocumentResponse -> QueryDocumentResponse -> Bool #

mkQueryDocumentResponse :: QueryDocumentResponse Source #

Construct a value of type QueryDocumentResponse (by applying it's required fields, if any)

RelevantChunk

data RelevantChunk Source #

RelevantChunk The information for a chunk relevant to a query.

Constructors

RelevantChunk
Fields relevantChunkChunk :: !(Maybe Chunk) "chunk" - `Chunk` associated with the query. relevantChunkChunkRelevanceScore :: !(Maybe Float) "chunkRelevanceScore" - `Chunk` relevance to the query.

Instances

Instances details

FromJSON RelevantChunk Source #	FromJSON RelevantChunk
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser RelevantChunk # parseJSONList :: Value -> Parser [RelevantChunk] # omittedField :: Maybe RelevantChunk #
ToJSON RelevantChunk Source #	ToJSON RelevantChunk
Instance details Defined in GenAI.Client.Model Methods toJSON :: RelevantChunk -> Value # toEncoding :: RelevantChunk -> Encoding # toJSONList :: [RelevantChunk] -> Value # toEncodingList :: [RelevantChunk] -> Encoding # omitField :: RelevantChunk -> Bool #
Show RelevantChunk Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> RelevantChunk -> ShowS # show :: RelevantChunk -> String # showList :: [RelevantChunk] -> ShowS #
Eq RelevantChunk Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: RelevantChunk -> RelevantChunk -> Bool # (/=) :: RelevantChunk -> RelevantChunk -> Bool #

mkRelevantChunk :: RelevantChunk Source #

Construct a value of type RelevantChunk (by applying it's required fields, if any)

RetrievalMetadata

data RetrievalMetadata Source #

RetrievalMetadata Metadata related to retrieval in the grounding flow.

Constructors

RetrievalMetadata

Fields

retrievalMetadataGoogleSearchDynamicRetrievalScore :: !(Maybe Float)
"googleSearchDynamicRetrievalScore" - 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.

Instances

Instances details

FromJSON RetrievalMetadata Source #	FromJSON RetrievalMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser RetrievalMetadata # parseJSONList :: Value -> Parser [RetrievalMetadata] # omittedField :: Maybe RetrievalMetadata #
ToJSON RetrievalMetadata Source #	ToJSON RetrievalMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: RetrievalMetadata -> Value # toEncoding :: RetrievalMetadata -> Encoding # toJSONList :: [RetrievalMetadata] -> Value # toEncodingList :: [RetrievalMetadata] -> Encoding # omitField :: RetrievalMetadata -> Bool #
Show RetrievalMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> RetrievalMetadata -> ShowS # show :: RetrievalMetadata -> String # showList :: [RetrievalMetadata] -> ShowS #
Eq RetrievalMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: RetrievalMetadata -> RetrievalMetadata -> Bool # (/=) :: RetrievalMetadata -> RetrievalMetadata -> Bool #

mkRetrievalMetadata :: RetrievalMetadata Source #

Construct a value of type RetrievalMetadata (by applying it's required fields, if any)

SafetyFeedback

data SafetyFeedback Source #

SafetyFeedback Safety feedback for an entire request. This field is populated if content in the input and/or response is blocked due to safety settings. SafetyFeedback may not exist for every HarmCategory. Each SafetyFeedback will return the safety settings used by the request as well as the lowest HarmProbability that should be allowed in order to return a result.

Constructors

SafetyFeedback
Fields safetyFeedbackSetting :: !(Maybe SafetySetting) "setting" - Safety settings applied to the request. safetyFeedbackRating :: !(Maybe SafetyRating) "rating" - Safety rating evaluated from content.

Instances

Instances details

FromJSON SafetyFeedback Source #	FromJSON SafetyFeedback
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SafetyFeedback # parseJSONList :: Value -> Parser [SafetyFeedback] # omittedField :: Maybe SafetyFeedback #
ToJSON SafetyFeedback Source #	ToJSON SafetyFeedback
Instance details Defined in GenAI.Client.Model Methods toJSON :: SafetyFeedback -> Value # toEncoding :: SafetyFeedback -> Encoding # toJSONList :: [SafetyFeedback] -> Value # toEncodingList :: [SafetyFeedback] -> Encoding # omitField :: SafetyFeedback -> Bool #
Show SafetyFeedback Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SafetyFeedback -> ShowS # show :: SafetyFeedback -> String # showList :: [SafetyFeedback] -> ShowS #
Eq SafetyFeedback Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SafetyFeedback -> SafetyFeedback -> Bool # (/=) :: SafetyFeedback -> SafetyFeedback -> Bool #

mkSafetyFeedback :: SafetyFeedback Source #

Construct a value of type SafetyFeedback (by applying it's required fields, if any)

SafetyRating

data SafetyRating Source #

SafetyRating 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.

Constructors

SafetyRating
Fields safetyRatingCategory :: !HarmCategory Required "category" - Required. The category for this rating. safetyRatingBlocked :: !(Maybe Bool) "blocked" - Was this content blocked because of this rating? safetyRatingProbability :: !E'Probability Required "probability" - Required. The probability of harm for this content.

Instances

Instances details

FromJSON SafetyRating Source #	FromJSON SafetyRating
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SafetyRating # parseJSONList :: Value -> Parser [SafetyRating] # omittedField :: Maybe SafetyRating #
ToJSON SafetyRating Source #	ToJSON SafetyRating
Instance details Defined in GenAI.Client.Model Methods toJSON :: SafetyRating -> Value # toEncoding :: SafetyRating -> Encoding # toJSONList :: [SafetyRating] -> Value # toEncodingList :: [SafetyRating] -> Encoding # omitField :: SafetyRating -> Bool #
Show SafetyRating Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SafetyRating -> ShowS # show :: SafetyRating -> String # showList :: [SafetyRating] -> ShowS #
Eq SafetyRating Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SafetyRating -> SafetyRating -> Bool # (/=) :: SafetyRating -> SafetyRating -> Bool #

mkSafetyRating Source #

Arguments

:: HarmCategory	`safetyRatingCategory`: Required. The category for this rating.
-> E'Probability	`safetyRatingProbability`: Required. The probability of harm for this content.
-> SafetyRating

Construct a value of type SafetyRating (by applying it's required fields, if any)

SafetySetting

data SafetySetting Source #

SafetySetting Safety setting, affecting the safety-blocking behavior. Passing a safety setting for a category changes the allowed probability that content is blocked.

Constructors

SafetySetting
Fields safetySettingThreshold :: !E'Threshold Required "threshold" - Required. Controls the probability threshold at which harm is blocked. safetySettingCategory :: !HarmCategory Required "category" - Required. The category for this setting.

Instances

Instances details

FromJSON SafetySetting Source #	FromJSON SafetySetting
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SafetySetting # parseJSONList :: Value -> Parser [SafetySetting] # omittedField :: Maybe SafetySetting #
ToJSON SafetySetting Source #	ToJSON SafetySetting
Instance details Defined in GenAI.Client.Model Methods toJSON :: SafetySetting -> Value # toEncoding :: SafetySetting -> Encoding # toJSONList :: [SafetySetting] -> Value # toEncodingList :: [SafetySetting] -> Encoding # omitField :: SafetySetting -> Bool #
Show SafetySetting Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SafetySetting -> ShowS # show :: SafetySetting -> String # showList :: [SafetySetting] -> ShowS #
Eq SafetySetting Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SafetySetting -> SafetySetting -> Bool # (/=) :: SafetySetting -> SafetySetting -> Bool #

mkSafetySetting Source #

Arguments

:: E'Threshold	`safetySettingThreshold`: Required. Controls the probability threshold at which harm is blocked.
-> HarmCategory	`safetySettingCategory`: Required. The category for this setting.
-> SafetySetting

Construct a value of type SafetySetting (by applying it's required fields, if any)

Schema

data Schema Source #

Schema The Schema object allows the definition of input and output data types. These types can be objects, but also primitives and arrays. Represents a select subset of an OpenAPI 3.0 schema object.

Constructors

Schema

Fields

schemaItems :: !(Maybe Schema)
"items" - Optional. Schema of the elements of Type.ARRAY.
schemaAnyOf :: !(Maybe [Schema])
"anyOf" - Optional. The value should be validated against any (one or more) of the subschemas in the list.
schemaMinLength :: !(Maybe Text)
"minLength" - Optional. SCHEMA FIELDS FOR TYPE STRING Minimum length of the Type.STRING
schemaMaximum :: !(Maybe Double)
"maximum" - Optional. Maximum value of the Type.INTEGER and Type.NUMBER
schemaPropertyOrdering :: !(Maybe [Text])
"propertyOrdering" - 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.
schemaNullable :: !(Maybe Bool)
"nullable" - Optional. Indicates if the value may be null.
schemaRequired :: !(Maybe [Text])
"required" - Optional. Required properties of Type.OBJECT.
schemaMinProperties :: !(Maybe Text)
"minProperties" - Optional. Minimum number of the properties for Type.OBJECT.
schemaMaxItems :: !(Maybe Text)
"maxItems" - Optional. Maximum number of the elements for Type.ARRAY.
schemaExample :: !(Maybe String)
"example" - Optional. Example of the object. Will only populated when the object is the root.
schemaTitle :: !(Maybe Text)
"title" - Optional. The title of the schema.
schemaMinItems :: !(Maybe Text)
"minItems" - Optional. Minimum number of the elements for Type.ARRAY.
schemaDescription :: !(Maybe Text)
"description" - Optional. A brief description of the parameter. This could contain examples of use. Parameter description may be formatted as Markdown.
schemaType :: !ModelType
Required "type" - Required. Data type.
schemaDefault :: !(Maybe String)
"default" - 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.
schemaMinimum :: !(Maybe Double)
"minimum" - Optional. SCHEMA FIELDS FOR TYPE INTEGER and NUMBER Minimum value of the Type.INTEGER and Type.NUMBER
schemaPattern :: !(Maybe Text)
"pattern" - Optional. Pattern of the Type.STRING to restrict a string to a regular expression.
schemaProperties :: !(Maybe (Map String Schema))
"properties" - Optional. Properties of Type.OBJECT.
schemaMaxProperties :: !(Maybe Text)
"maxProperties" - Optional. Maximum number of the properties for Type.OBJECT.
schemaFormat :: !(Maybe Text)
"format" - Optional. The format of the data. This is used only for primitive datatypes. Supported formats: for NUMBER type: float, double for INTEGER type: int32, int64 for STRING type: enum, date-time
schemaEnum :: !(Maybe [Text])
"enum" - 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"]}
schemaMaxLength :: !(Maybe Text)
"maxLength" - Optional. Maximum length of the Type.STRING

Instances

Instances details

FromJSON Schema Source #	FromJSON Schema
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Schema # parseJSONList :: Value -> Parser [Schema] # omittedField :: Maybe Schema #
ToJSON Schema Source #	ToJSON Schema
Instance details Defined in GenAI.Client.Model Methods toJSON :: Schema -> Value # toEncoding :: Schema -> Encoding # toJSONList :: [Schema] -> Value # toEncodingList :: [Schema] -> Encoding # omitField :: Schema -> Bool #
Show Schema Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Schema -> ShowS # show :: Schema -> String # showList :: [Schema] -> ShowS #
Eq Schema Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Schema -> Schema -> Bool # (/=) :: Schema -> Schema -> Bool #

mkSchema Source #

Arguments

:: ModelType	`schemaType`: Required. Data type.
-> Schema

Construct a value of type Schema (by applying it's required fields, if any)

SearchEntryPoint

data SearchEntryPoint Source #

SearchEntryPoint Google search entry point.

Constructors

SearchEntryPoint
Fields searchEntryPointSdkBlob :: !(Maybe ByteArray) "sdkBlob" - Optional. Base64 encoded JSON representing array of tuple. searchEntryPointRenderedContent :: !(Maybe Text) "renderedContent" - Optional. Web content snippet that can be embedded in a web page or an app webview.

Instances

Instances details

FromJSON SearchEntryPoint Source #	FromJSON SearchEntryPoint
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SearchEntryPoint # parseJSONList :: Value -> Parser [SearchEntryPoint] # omittedField :: Maybe SearchEntryPoint #
ToJSON SearchEntryPoint Source #	ToJSON SearchEntryPoint
Instance details Defined in GenAI.Client.Model Methods toJSON :: SearchEntryPoint -> Value # toEncoding :: SearchEntryPoint -> Encoding # toJSONList :: [SearchEntryPoint] -> Value # toEncodingList :: [SearchEntryPoint] -> Encoding # omitField :: SearchEntryPoint -> Bool #
Show SearchEntryPoint Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SearchEntryPoint -> ShowS # show :: SearchEntryPoint -> String # showList :: [SearchEntryPoint] -> ShowS #
Eq SearchEntryPoint Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SearchEntryPoint -> SearchEntryPoint -> Bool # (/=) :: SearchEntryPoint -> SearchEntryPoint -> Bool #

mkSearchEntryPoint :: SearchEntryPoint Source #

Construct a value of type SearchEntryPoint (by applying it's required fields, if any)

Segment

data Segment Source #

Segment Segment of the content.

Constructors

Segment

Fields

segmentPartIndex :: !(Maybe Int)
ReadOnly "partIndex" - Output only. The index of a Part object within its parent Content object.
segmentStartIndex :: !(Maybe Int)
ReadOnly "startIndex" - Output only. Start index in the given Part, measured in bytes. Offset from the start of the Part, inclusive, starting at zero.
segmentText :: !(Maybe Text)
ReadOnly "text" - Output only. The text corresponding to the segment from the response.
segmentEndIndex :: !(Maybe Int)
ReadOnly "endIndex" - Output only. End index in the given Part, measured in bytes. Offset from the start of the Part, exclusive, starting at zero.

Instances

Instances details

FromJSON Segment Source #	FromJSON Segment
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Segment # parseJSONList :: Value -> Parser [Segment] # omittedField :: Maybe Segment #
ToJSON Segment Source #	ToJSON Segment
Instance details Defined in GenAI.Client.Model Methods toJSON :: Segment -> Value # toEncoding :: Segment -> Encoding # toJSONList :: [Segment] -> Value # toEncodingList :: [Segment] -> Encoding # omitField :: Segment -> Bool #
Show Segment Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Segment -> ShowS # show :: Segment -> String # showList :: [Segment] -> ShowS #
Eq Segment Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Segment -> Segment -> Bool # (/=) :: Segment -> Segment -> Bool #

mkSegment :: Segment Source #

Construct a value of type Segment (by applying it's required fields, if any)

SemanticRetrieverChunk

data SemanticRetrieverChunk Source #

SemanticRetrieverChunk Identifier for a Chunk retrieved via Semantic Retriever specified in the GenerateAnswerRequest using SemanticRetrieverConfig.

Constructors

SemanticRetrieverChunk
Fields semanticRetrieverChunkChunk :: !(Maybe Text) ReadOnly "chunk" - Output only. Name of the `Chunk` containing the attributed text. Example: `corpora123documentsabcchunks/xyz` semanticRetrieverChunkSource :: !(Maybe Text) ReadOnly "source" - Output only. Name of the source matching the request's `SemanticRetrieverConfig.source`. Example: `corpora123` or `corpora123documentsabc`

Instances

Instances details

FromJSON SemanticRetrieverChunk Source #	FromJSON SemanticRetrieverChunk
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SemanticRetrieverChunk # parseJSONList :: Value -> Parser [SemanticRetrieverChunk] # omittedField :: Maybe SemanticRetrieverChunk #
ToJSON SemanticRetrieverChunk Source #	ToJSON SemanticRetrieverChunk
Instance details Defined in GenAI.Client.Model Methods toJSON :: SemanticRetrieverChunk -> Value # toEncoding :: SemanticRetrieverChunk -> Encoding # toJSONList :: [SemanticRetrieverChunk] -> Value # toEncodingList :: [SemanticRetrieverChunk] -> Encoding # omitField :: SemanticRetrieverChunk -> Bool #
Show SemanticRetrieverChunk Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SemanticRetrieverChunk -> ShowS # show :: SemanticRetrieverChunk -> String # showList :: [SemanticRetrieverChunk] -> ShowS #
Eq SemanticRetrieverChunk Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SemanticRetrieverChunk -> SemanticRetrieverChunk -> Bool # (/=) :: SemanticRetrieverChunk -> SemanticRetrieverChunk -> Bool #

mkSemanticRetrieverChunk :: SemanticRetrieverChunk Source #

Construct a value of type SemanticRetrieverChunk (by applying it's required fields, if any)

SemanticRetrieverConfig

data SemanticRetrieverConfig Source #

SemanticRetrieverConfig Configuration for retrieving grounding content from a Corpus or Document created using the Semantic Retriever API.

Constructors

SemanticRetrieverConfig

Fields

semanticRetrieverConfigSource :: !Text
Required "source" - Required. Name of the resource for retrieval. Example: `corpora123` or `corpora123documentsabc`.
semanticRetrieverConfigQuery :: !Content
Required "query" - Required. Query to use for matching `Chunk`s in the given resource by similarity.
semanticRetrieverConfigMaxChunksCount :: !(Maybe Int)
"maxChunksCount" - Optional. Maximum number of relevant `Chunk`s to retrieve.
semanticRetrieverConfigMetadataFilters :: !(Maybe [MetadataFilter])
"metadataFilters" - Optional. Filters for selecting `Document`s and/or `Chunk`s from the resource.
semanticRetrieverConfigMinimumRelevanceScore :: !(Maybe Float)
"minimumRelevanceScore" - Optional. Minimum relevance score for retrieved relevant `Chunk`s.

Instances

Instances details

FromJSON SemanticRetrieverConfig Source #	FromJSON SemanticRetrieverConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SemanticRetrieverConfig # parseJSONList :: Value -> Parser [SemanticRetrieverConfig] # omittedField :: Maybe SemanticRetrieverConfig #
ToJSON SemanticRetrieverConfig Source #	ToJSON SemanticRetrieverConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: SemanticRetrieverConfig -> Value # toEncoding :: SemanticRetrieverConfig -> Encoding # toJSONList :: [SemanticRetrieverConfig] -> Value # toEncodingList :: [SemanticRetrieverConfig] -> Encoding # omitField :: SemanticRetrieverConfig -> Bool #
Show SemanticRetrieverConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SemanticRetrieverConfig -> ShowS # show :: SemanticRetrieverConfig -> String # showList :: [SemanticRetrieverConfig] -> ShowS #
Eq SemanticRetrieverConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SemanticRetrieverConfig -> SemanticRetrieverConfig -> Bool # (/=) :: SemanticRetrieverConfig -> SemanticRetrieverConfig -> Bool #

mkSemanticRetrieverConfig Source #

Arguments

:: Text	`semanticRetrieverConfigSource`: Required. Name of the resource for retrieval. Example: `corpora123` or `corpora123documentsabc`.
-> Content	`semanticRetrieverConfigQuery`: Required. Query to use for matching `Chunk`s in the given resource by similarity.
-> SemanticRetrieverConfig

Construct a value of type SemanticRetrieverConfig (by applying it's required fields, if any)

SpeakerVoiceConfig

data SpeakerVoiceConfig Source #

SpeakerVoiceConfig The configuration for a single speaker in a multi speaker setup.

Constructors

SpeakerVoiceConfig
Fields speakerVoiceConfigVoiceConfig :: !VoiceConfig Required "voiceConfig" - Required. The configuration for the voice to use. speakerVoiceConfigSpeaker :: !Text Required "speaker" - Required. The name of the speaker to use. Should be the same as in the prompt.

Instances

Instances details

FromJSON SpeakerVoiceConfig Source #	FromJSON SpeakerVoiceConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SpeakerVoiceConfig # parseJSONList :: Value -> Parser [SpeakerVoiceConfig] # omittedField :: Maybe SpeakerVoiceConfig #
ToJSON SpeakerVoiceConfig Source #	ToJSON SpeakerVoiceConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: SpeakerVoiceConfig -> Value # toEncoding :: SpeakerVoiceConfig -> Encoding # toJSONList :: [SpeakerVoiceConfig] -> Value # toEncodingList :: [SpeakerVoiceConfig] -> Encoding # omitField :: SpeakerVoiceConfig -> Bool #
Show SpeakerVoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SpeakerVoiceConfig -> ShowS # show :: SpeakerVoiceConfig -> String # showList :: [SpeakerVoiceConfig] -> ShowS #
Eq SpeakerVoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SpeakerVoiceConfig -> SpeakerVoiceConfig -> Bool # (/=) :: SpeakerVoiceConfig -> SpeakerVoiceConfig -> Bool #

mkSpeakerVoiceConfig Source #

Arguments

:: VoiceConfig	`speakerVoiceConfigVoiceConfig`: Required. The configuration for the voice to use.
-> Text	`speakerVoiceConfigSpeaker`: Required. The name of the speaker to use. Should be the same as in the prompt.
-> SpeakerVoiceConfig

Construct a value of type SpeakerVoiceConfig (by applying it's required fields, if any)

SpeechConfig

data SpeechConfig Source #

SpeechConfig The speech generation config.

Constructors

SpeechConfig

Fields

speechConfigVoiceConfig :: !(Maybe VoiceConfig)
"voiceConfig" - The configuration in case of single-voice output.
speechConfigLanguageCode :: !(Maybe Text)
"languageCode" - Optional. Language code (in BCP 47 format, e.g. "en-US") for speech 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.
speechConfigMultiSpeakerVoiceConfig :: !(Maybe MultiSpeakerVoiceConfig)
"multiSpeakerVoiceConfig" - Optional. The configuration for the multi-speaker setup. It is mutually exclusive with the voice_config field.

Instances

Instances details

FromJSON SpeechConfig Source #	FromJSON SpeechConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser SpeechConfig # parseJSONList :: Value -> Parser [SpeechConfig] # omittedField :: Maybe SpeechConfig #
ToJSON SpeechConfig Source #	ToJSON SpeechConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: SpeechConfig -> Value # toEncoding :: SpeechConfig -> Encoding # toJSONList :: [SpeechConfig] -> Value # toEncodingList :: [SpeechConfig] -> Encoding # omitField :: SpeechConfig -> Bool #
Show SpeechConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> SpeechConfig -> ShowS # show :: SpeechConfig -> String # showList :: [SpeechConfig] -> ShowS #
Eq SpeechConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: SpeechConfig -> SpeechConfig -> Bool # (/=) :: SpeechConfig -> SpeechConfig -> Bool #

mkSpeechConfig :: SpeechConfig Source #

Construct a value of type SpeechConfig (by applying it's required fields, if any)

Status

data Status Source #

Status 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. 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.

Constructors

Status

Fields

statusCode :: !(Maybe Int)
"code" - The status code, which should be an enum value of google.rpc.Code.
statusDetails :: !(Maybe [Map String String])
"details" - A list of messages that carry the error details. There is a common set of message types for APIs to use.
statusMessage :: !(Maybe Text)
"message" - 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.

Instances

Instances details

FromJSON Status Source #	FromJSON Status
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Status # parseJSONList :: Value -> Parser [Status] # omittedField :: Maybe Status #
ToJSON Status Source #	ToJSON Status
Instance details Defined in GenAI.Client.Model Methods toJSON :: Status -> Value # toEncoding :: Status -> Encoding # toJSONList :: [Status] -> Value # toEncodingList :: [Status] -> Encoding # omitField :: Status -> Bool #
Show Status Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Status -> ShowS # show :: Status -> String # showList :: [Status] -> ShowS #
Eq Status Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Status -> Status -> Bool # (/=) :: Status -> Status -> Bool #

mkStatus :: Status Source #

Construct a value of type Status (by applying it's required fields, if any)

StringList

data StringList Source #

StringList User provided string values assigned to a single metadata key.

Constructors

StringList
Fields stringListValues :: !(Maybe [Text]) "values" - The string values of the metadata to store.

Instances

Instances details

FromJSON StringList Source #	FromJSON StringList
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser StringList # parseJSONList :: Value -> Parser [StringList] # omittedField :: Maybe StringList #
ToJSON StringList Source #	ToJSON StringList
Instance details Defined in GenAI.Client.Model Methods toJSON :: StringList -> Value # toEncoding :: StringList -> Encoding # toJSONList :: [StringList] -> Value # toEncodingList :: [StringList] -> Encoding # omitField :: StringList -> Bool #
Show StringList Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> StringList -> ShowS # show :: StringList -> String # showList :: [StringList] -> ShowS #
Eq StringList Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: StringList -> StringList -> Bool # (/=) :: StringList -> StringList -> Bool #

mkStringList :: StringList Source #

Construct a value of type StringList (by applying it's required fields, if any)

TextCompletion

data TextCompletion Source #

TextCompletion Output text returned from a model.

Constructors

TextCompletion

Fields

textCompletionSafetyRatings :: !(Maybe [SafetyRating])
"safetyRatings" - Ratings for the safety of a response. There is at most one rating per category.
textCompletionOutput :: !(Maybe Text)
ReadOnly "output" - Output only. The generated text returned from the model.
textCompletionCitationMetadata :: !(Maybe CitationMetadata)
ReadOnly "citationMetadata" - Output only. Citation information for model-generated `output` in this `TextCompletion`. This field may be populated with attribution information for any text included in the `output`.

Instances

Instances details

FromJSON TextCompletion Source #	FromJSON TextCompletion
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TextCompletion # parseJSONList :: Value -> Parser [TextCompletion] # omittedField :: Maybe TextCompletion #
ToJSON TextCompletion Source #	ToJSON TextCompletion
Instance details Defined in GenAI.Client.Model Methods toJSON :: TextCompletion -> Value # toEncoding :: TextCompletion -> Encoding # toJSONList :: [TextCompletion] -> Value # toEncodingList :: [TextCompletion] -> Encoding # omitField :: TextCompletion -> Bool #
Show TextCompletion Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TextCompletion -> ShowS # show :: TextCompletion -> String # showList :: [TextCompletion] -> ShowS #
Eq TextCompletion Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TextCompletion -> TextCompletion -> Bool # (/=) :: TextCompletion -> TextCompletion -> Bool #

mkTextCompletion :: TextCompletion Source #

Construct a value of type TextCompletion (by applying it's required fields, if any)

TextPrompt

data TextPrompt Source #

TextPrompt Text given to the model as a prompt. The Model will use this TextPrompt to Generate a text completion.

Constructors

TextPrompt
Fields textPromptText :: !Text Required "text" - Required. The prompt text.

Instances

Instances details

FromJSON TextPrompt Source #	FromJSON TextPrompt
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TextPrompt # parseJSONList :: Value -> Parser [TextPrompt] # omittedField :: Maybe TextPrompt #
ToJSON TextPrompt Source #	ToJSON TextPrompt
Instance details Defined in GenAI.Client.Model Methods toJSON :: TextPrompt -> Value # toEncoding :: TextPrompt -> Encoding # toJSONList :: [TextPrompt] -> Value # toEncodingList :: [TextPrompt] -> Encoding # omitField :: TextPrompt -> Bool #
Show TextPrompt Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TextPrompt -> ShowS # show :: TextPrompt -> String # showList :: [TextPrompt] -> ShowS #
Eq TextPrompt Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TextPrompt -> TextPrompt -> Bool # (/=) :: TextPrompt -> TextPrompt -> Bool #

mkTextPrompt Source #

Arguments

:: Text	`textPromptText`: Required. The prompt text.
-> TextPrompt

Construct a value of type TextPrompt (by applying it's required fields, if any)

ThinkingConfig

data ThinkingConfig Source #

ThinkingConfig Config for thinking features.

Constructors

ThinkingConfig
Fields thinkingConfigThinkingBudget :: !(Maybe Int) "thinkingBudget" - The number of thoughts tokens that the model should generate. thinkingConfigIncludeThoughts :: !(Maybe Bool) "includeThoughts" - Indicates whether to include thoughts in the response. If true, thoughts are returned only when available.

Instances

Instances details

FromJSON ThinkingConfig Source #	FromJSON ThinkingConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ThinkingConfig # parseJSONList :: Value -> Parser [ThinkingConfig] # omittedField :: Maybe ThinkingConfig #
ToJSON ThinkingConfig Source #	ToJSON ThinkingConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: ThinkingConfig -> Value # toEncoding :: ThinkingConfig -> Encoding # toJSONList :: [ThinkingConfig] -> Value # toEncodingList :: [ThinkingConfig] -> Encoding # omitField :: ThinkingConfig -> Bool #
Show ThinkingConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ThinkingConfig -> ShowS # show :: ThinkingConfig -> String # showList :: [ThinkingConfig] -> ShowS #
Eq ThinkingConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ThinkingConfig -> ThinkingConfig -> Bool # (/=) :: ThinkingConfig -> ThinkingConfig -> Bool #

mkThinkingConfig :: ThinkingConfig Source #

Construct a value of type ThinkingConfig (by applying it's required fields, if any)

Tool

data Tool Source #

Tool 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.

Constructors

Tool

Fields

toolFunctionDeclarations :: !(Maybe [FunctionDeclaration])
"functionDeclarations" - 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.
toolGoogleSearchRetrieval :: !(Maybe GoogleSearchRetrieval)
"googleSearchRetrieval" - Optional. Retrieval tool that is powered by Google search.
toolGoogleSearch :: !(Maybe GoogleSearch)
"googleSearch" - Optional. GoogleSearch tool type. Tool to support Google Search in Model. Powered by Google.
toolCodeExecution :: !(Maybe Value)
"codeExecution" - Optional. Enables the model to execute code as part of generation.
toolUrlContext :: !(Maybe Value)
"urlContext" - Optional. Tool to support URL context retrieval.

Instances

Instances details

FromJSON Tool Source #	FromJSON Tool
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Tool # parseJSONList :: Value -> Parser [Tool] # omittedField :: Maybe Tool #
ToJSON Tool Source #	ToJSON Tool
Instance details Defined in GenAI.Client.Model Methods toJSON :: Tool -> Value # toEncoding :: Tool -> Encoding # toJSONList :: [Tool] -> Value # toEncodingList :: [Tool] -> Encoding # omitField :: Tool -> Bool #
Show Tool Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Tool -> ShowS # show :: Tool -> String # showList :: [Tool] -> ShowS #
Eq Tool Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Tool -> Tool -> Bool # (/=) :: Tool -> Tool -> Bool #

mkTool :: Tool Source #

Construct a value of type Tool (by applying it's required fields, if any)

ToolConfig

data ToolConfig Source #

ToolConfig The Tool configuration containing parameters for specifying Tool use in the request.

Constructors

ToolConfig
Fields toolConfigFunctionCallingConfig :: !(Maybe FunctionCallingConfig) "functionCallingConfig" - Optional. Function calling config.

Instances

Instances details

FromJSON ToolConfig Source #	FromJSON ToolConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ToolConfig # parseJSONList :: Value -> Parser [ToolConfig] # omittedField :: Maybe ToolConfig #
ToJSON ToolConfig Source #	ToJSON ToolConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: ToolConfig -> Value # toEncoding :: ToolConfig -> Encoding # toJSONList :: [ToolConfig] -> Value # toEncodingList :: [ToolConfig] -> Encoding # omitField :: ToolConfig -> Bool #
Show ToolConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ToolConfig -> ShowS # show :: ToolConfig -> String # showList :: [ToolConfig] -> ShowS #
Eq ToolConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ToolConfig -> ToolConfig -> Bool # (/=) :: ToolConfig -> ToolConfig -> Bool #

mkToolConfig :: ToolConfig Source #

Construct a value of type ToolConfig (by applying it's required fields, if any)

TopCandidates

data TopCandidates Source #

TopCandidates Candidates with top log probabilities at each decoding step.

Constructors

TopCandidates
Fields topCandidatesCandidates :: !(Maybe [LogprobsResultCandidate]) "candidates" - Sorted by log probability in descending order.

Instances

Instances details

FromJSON TopCandidates Source #	FromJSON TopCandidates
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TopCandidates # parseJSONList :: Value -> Parser [TopCandidates] # omittedField :: Maybe TopCandidates #
ToJSON TopCandidates Source #	ToJSON TopCandidates
Instance details Defined in GenAI.Client.Model Methods toJSON :: TopCandidates -> Value # toEncoding :: TopCandidates -> Encoding # toJSONList :: [TopCandidates] -> Value # toEncodingList :: [TopCandidates] -> Encoding # omitField :: TopCandidates -> Bool #
Show TopCandidates Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TopCandidates -> ShowS # show :: TopCandidates -> String # showList :: [TopCandidates] -> ShowS #
Eq TopCandidates Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TopCandidates -> TopCandidates -> Bool # (/=) :: TopCandidates -> TopCandidates -> Bool #

mkTopCandidates :: TopCandidates Source #

Construct a value of type TopCandidates (by applying it's required fields, if any)

TransferOwnershipRequest

data TransferOwnershipRequest Source #

TransferOwnershipRequest Request to transfer the ownership of the tuned model.

Constructors

TransferOwnershipRequest
Fields transferOwnershipRequestEmailAddress :: !Text Required "emailAddress" - Required. The email address of the user to whom the tuned model is being transferred to.

Instances

Instances details

FromJSON TransferOwnershipRequest Source #	FromJSON TransferOwnershipRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TransferOwnershipRequest # parseJSONList :: Value -> Parser [TransferOwnershipRequest] # omittedField :: Maybe TransferOwnershipRequest #
ToJSON TransferOwnershipRequest Source #	ToJSON TransferOwnershipRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: TransferOwnershipRequest -> Value # toEncoding :: TransferOwnershipRequest -> Encoding # toJSONList :: [TransferOwnershipRequest] -> Value # toEncodingList :: [TransferOwnershipRequest] -> Encoding # omitField :: TransferOwnershipRequest -> Bool #
Show TransferOwnershipRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TransferOwnershipRequest -> ShowS # show :: TransferOwnershipRequest -> String # showList :: [TransferOwnershipRequest] -> ShowS #
Eq TransferOwnershipRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TransferOwnershipRequest -> TransferOwnershipRequest -> Bool # (/=) :: TransferOwnershipRequest -> TransferOwnershipRequest -> Bool #
HasBodyParam TransferOwnership TransferOwnershipRequest Source #	Body Param TransferOwnershipRequest - The request body.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes TransferOwnership contentType, MimeRender contentType TransferOwnershipRequest) => ClientRequest TransferOwnership contentType res accept -> TransferOwnershipRequest -> ClientRequest TransferOwnership contentType res accept Source #

mkTransferOwnershipRequest Source #

Arguments

:: Text	`transferOwnershipRequestEmailAddress`: Required. The email address of the user to whom the tuned model is being transferred to.
-> TransferOwnershipRequest

Construct a value of type TransferOwnershipRequest (by applying it's required fields, if any)

TunedModel

data TunedModel Source #

TunedModel A fine-tuned model created using ModelService.CreateTunedModel.

Constructors

TunedModel

Fields

tunedModelUpdateTime :: !(Maybe DateTime)
ReadOnly "updateTime" - Output only. The timestamp when this model was updated.
tunedModelName :: !(Maybe Text)
ReadOnly "name" - Output only. The tuned model name. A unique name will be generated on create. Example: `tunedModelsaz2mb0bpw6i` 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 = `tunedModelssentence-translator-u3b7m`
tunedModelCreateTime :: !(Maybe DateTime)
ReadOnly "createTime" - Output only. The timestamp when this model was created.
tunedModelTuningTask :: !TuningTask
Required "tuningTask" - Required. The tuning task that creates the tuned model.
tunedModelTunedModelSource :: !(Maybe TunedModelSource)
"tunedModelSource" - Optional. TunedModel to use as the starting point for training the new model.
tunedModelBaseModel :: !(Maybe Text)
"baseModel" - Immutable. The name of the `Model` to tune. Example: `models/gemini-1.5-flash-001`
tunedModelReaderProjectNumbers :: !(Maybe [Text])
"readerProjectNumbers" - Optional. List of project numbers that have read access to the tuned model.
tunedModelDisplayName :: !(Maybe Text)
"displayName" - Optional. The name to display for this model in user interfaces. The display name must be up to 40 characters including spaces.
tunedModelTemperature :: !(Maybe Float)
"temperature" - 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.
tunedModelDescription :: !(Maybe Text)
"description" - Optional. A short description of this model.
tunedModelTopP :: !(Maybe Float)
"topP" - 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.
tunedModelTopK :: !(Maybe Int)
"topK" - 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.
tunedModelState :: !(Maybe E'State3)
ReadOnly "state" - Output only. The state of the tuned model.

Instances

Instances details

FromJSON TunedModel Source #	FromJSON TunedModel
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TunedModel # parseJSONList :: Value -> Parser [TunedModel] # omittedField :: Maybe TunedModel #
ToJSON TunedModel Source #	ToJSON TunedModel
Instance details Defined in GenAI.Client.Model Methods toJSON :: TunedModel -> Value # toEncoding :: TunedModel -> Encoding # toJSONList :: [TunedModel] -> Value # toEncodingList :: [TunedModel] -> Encoding # omitField :: TunedModel -> Bool #
Show TunedModel Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TunedModel -> ShowS # show :: TunedModel -> String # showList :: [TunedModel] -> ShowS #
Eq TunedModel Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TunedModel -> TunedModel -> Bool # (/=) :: TunedModel -> TunedModel -> Bool #
HasBodyParam CreateTunedModel TunedModel Source #	Body Param TunedModel - Required. The tuned model to create.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes CreateTunedModel contentType, MimeRender contentType TunedModel) => ClientRequest CreateTunedModel contentType res accept -> TunedModel -> ClientRequest CreateTunedModel contentType res accept Source #
HasBodyParam UpdateTunedModel TunedModel Source #	Body Param TunedModel - Required. The tuned model to update.
Instance details Defined in GenAI.Client.API.Generativelanguage Methods setBodyParam :: forall {k1} {k2} contentType (res :: k1) (accept :: k2). (Consumes UpdateTunedModel contentType, MimeRender contentType TunedModel) => ClientRequest UpdateTunedModel contentType res accept -> TunedModel -> ClientRequest UpdateTunedModel contentType res accept Source #

mkTunedModel Source #

Arguments

:: TuningTask	`tunedModelTuningTask`: Required. The tuning task that creates the tuned model.
-> TunedModel

Construct a value of type TunedModel (by applying it's required fields, if any)

TunedModelSource

data TunedModelSource Source #

TunedModelSource Tuned model as a source for training a new model.

Constructors

TunedModelSource
Fields tunedModelSourceTunedModel :: !(Maybe Text) "tunedModel" - Immutable. The name of the `TunedModel` to use as the starting point for training the new model. Example: `tunedModels/my-tuned-model` tunedModelSourceBaseModel :: !(Maybe Text) ReadOnly "baseModel" - Output only. The name of the base `Model` this `TunedModel` was tuned from. Example: `models/gemini-1.5-flash-001`

Instances

Instances details

FromJSON TunedModelSource Source #	FromJSON TunedModelSource
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TunedModelSource # parseJSONList :: Value -> Parser [TunedModelSource] # omittedField :: Maybe TunedModelSource #
ToJSON TunedModelSource Source #	ToJSON TunedModelSource
Instance details Defined in GenAI.Client.Model Methods toJSON :: TunedModelSource -> Value # toEncoding :: TunedModelSource -> Encoding # toJSONList :: [TunedModelSource] -> Value # toEncodingList :: [TunedModelSource] -> Encoding # omitField :: TunedModelSource -> Bool #
Show TunedModelSource Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TunedModelSource -> ShowS # show :: TunedModelSource -> String # showList :: [TunedModelSource] -> ShowS #
Eq TunedModelSource Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TunedModelSource -> TunedModelSource -> Bool # (/=) :: TunedModelSource -> TunedModelSource -> Bool #

mkTunedModelSource :: TunedModelSource Source #

Construct a value of type TunedModelSource (by applying it's required fields, if any)

TuningExample

data TuningExample Source #

TuningExample A single example for tuning.

Constructors

TuningExample
Fields tuningExampleTextInput :: !(Maybe Text) "textInput" - Optional. Text model input. tuningExampleOutput :: !Text Required "output" - Required. The expected model output.

Instances

Instances details

FromJSON TuningExample Source #	FromJSON TuningExample
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TuningExample # parseJSONList :: Value -> Parser [TuningExample] # omittedField :: Maybe TuningExample #
ToJSON TuningExample Source #	ToJSON TuningExample
Instance details Defined in GenAI.Client.Model Methods toJSON :: TuningExample -> Value # toEncoding :: TuningExample -> Encoding # toJSONList :: [TuningExample] -> Value # toEncodingList :: [TuningExample] -> Encoding # omitField :: TuningExample -> Bool #
Show TuningExample Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TuningExample -> ShowS # show :: TuningExample -> String # showList :: [TuningExample] -> ShowS #
Eq TuningExample Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TuningExample -> TuningExample -> Bool # (/=) :: TuningExample -> TuningExample -> Bool #

mkTuningExample Source #

Arguments

:: Text	`tuningExampleOutput`: Required. The expected model output.
-> TuningExample

Construct a value of type TuningExample (by applying it's required fields, if any)

TuningExamples

data TuningExamples Source #

TuningExamples A set of tuning examples. Can be training or validation data.

Constructors

TuningExamples
Fields tuningExamplesExamples :: !(Maybe [TuningExample]) "examples" - The examples. Example input can be for text or discuss, but all examples in a set must be of the same type.

Instances

Instances details

FromJSON TuningExamples Source #	FromJSON TuningExamples
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TuningExamples # parseJSONList :: Value -> Parser [TuningExamples] # omittedField :: Maybe TuningExamples #
ToJSON TuningExamples Source #	ToJSON TuningExamples
Instance details Defined in GenAI.Client.Model Methods toJSON :: TuningExamples -> Value # toEncoding :: TuningExamples -> Encoding # toJSONList :: [TuningExamples] -> Value # toEncodingList :: [TuningExamples] -> Encoding # omitField :: TuningExamples -> Bool #
Show TuningExamples Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TuningExamples -> ShowS # show :: TuningExamples -> String # showList :: [TuningExamples] -> ShowS #
Eq TuningExamples Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TuningExamples -> TuningExamples -> Bool # (/=) :: TuningExamples -> TuningExamples -> Bool #

mkTuningExamples :: TuningExamples Source #

Construct a value of type TuningExamples (by applying it's required fields, if any)

TuningSnapshot

data TuningSnapshot Source #

TuningSnapshot Record for a single tuning step.

Constructors

TuningSnapshot

Fields

tuningSnapshotMeanLoss :: !(Maybe Float)
ReadOnly "meanLoss" - Output only. The mean loss of the training examples for this step.
tuningSnapshotComputeTime :: !(Maybe DateTime)
ReadOnly "computeTime" - Output only. The timestamp when this metric was computed.
tuningSnapshotStep :: !(Maybe Int)
ReadOnly "step" - Output only. The tuning step.
tuningSnapshotEpoch :: !(Maybe Int)
ReadOnly "epoch" - Output only. The epoch this step was part of.

Instances

Instances details

FromJSON TuningSnapshot Source #	FromJSON TuningSnapshot
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TuningSnapshot # parseJSONList :: Value -> Parser [TuningSnapshot] # omittedField :: Maybe TuningSnapshot #
ToJSON TuningSnapshot Source #	ToJSON TuningSnapshot
Instance details Defined in GenAI.Client.Model Methods toJSON :: TuningSnapshot -> Value # toEncoding :: TuningSnapshot -> Encoding # toJSONList :: [TuningSnapshot] -> Value # toEncodingList :: [TuningSnapshot] -> Encoding # omitField :: TuningSnapshot -> Bool #
Show TuningSnapshot Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TuningSnapshot -> ShowS # show :: TuningSnapshot -> String # showList :: [TuningSnapshot] -> ShowS #
Eq TuningSnapshot Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TuningSnapshot -> TuningSnapshot -> Bool # (/=) :: TuningSnapshot -> TuningSnapshot -> Bool #

mkTuningSnapshot :: TuningSnapshot Source #

Construct a value of type TuningSnapshot (by applying it's required fields, if any)

TuningTask

data TuningTask Source #

TuningTask Tuning tasks that create tuned models.

Constructors

TuningTask

Fields

tuningTaskStartTime :: !(Maybe DateTime)
ReadOnly "startTime" - Output only. The timestamp when tuning this model started.
tuningTaskTrainingData :: !Dataset
Required "trainingData" - Required. Input only. Immutable. The model training data.
tuningTaskHyperparameters :: !(Maybe Hyperparameters)
"hyperparameters" - Immutable. Hyperparameters controlling the tuning process. If not provided, default values will be used.
tuningTaskCompleteTime :: !(Maybe DateTime)
ReadOnly "completeTime" - Output only. The timestamp when tuning this model completed.
tuningTaskSnapshots :: !(Maybe [TuningSnapshot])
ReadOnly "snapshots" - Output only. Metrics collected during tuning.

Instances

Instances details

FromJSON TuningTask Source #	FromJSON TuningTask
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TuningTask # parseJSONList :: Value -> Parser [TuningTask] # omittedField :: Maybe TuningTask #
ToJSON TuningTask Source #	ToJSON TuningTask
Instance details Defined in GenAI.Client.Model Methods toJSON :: TuningTask -> Value # toEncoding :: TuningTask -> Encoding # toJSONList :: [TuningTask] -> Value # toEncodingList :: [TuningTask] -> Encoding # omitField :: TuningTask -> Bool #
Show TuningTask Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TuningTask -> ShowS # show :: TuningTask -> String # showList :: [TuningTask] -> ShowS #
Eq TuningTask Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TuningTask -> TuningTask -> Bool # (/=) :: TuningTask -> TuningTask -> Bool #

mkTuningTask Source #

Arguments

:: Dataset	`tuningTaskTrainingData`: Required. Input only. Immutable. The model training data.
-> TuningTask

Construct a value of type TuningTask (by applying it's required fields, if any)

UpdateChunkRequest

data UpdateChunkRequest Source #

UpdateChunkRequest Request to update a Chunk.

Constructors

UpdateChunkRequest
Fields updateChunkRequestUpdateMask :: !Text Required "updateMask" - Required. The list of fields to update. Currently, this only supports updating `custom_metadata` and `data`. updateChunkRequestChunk :: !Chunk Required "chunk" - Required. The `Chunk` to update.

Instances

Instances details

FromJSON UpdateChunkRequest Source #	FromJSON UpdateChunkRequest
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser UpdateChunkRequest # parseJSONList :: Value -> Parser [UpdateChunkRequest] # omittedField :: Maybe UpdateChunkRequest #
ToJSON UpdateChunkRequest Source #	ToJSON UpdateChunkRequest
Instance details Defined in GenAI.Client.Model Methods toJSON :: UpdateChunkRequest -> Value # toEncoding :: UpdateChunkRequest -> Encoding # toJSONList :: [UpdateChunkRequest] -> Value # toEncodingList :: [UpdateChunkRequest] -> Encoding # omitField :: UpdateChunkRequest -> Bool #
Show UpdateChunkRequest Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> UpdateChunkRequest -> ShowS # show :: UpdateChunkRequest -> String # showList :: [UpdateChunkRequest] -> ShowS #
Eq UpdateChunkRequest Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: UpdateChunkRequest -> UpdateChunkRequest -> Bool # (/=) :: UpdateChunkRequest -> UpdateChunkRequest -> Bool #

mkUpdateChunkRequest Source #

Arguments

:: Text	`updateChunkRequestUpdateMask`: Required. The list of fields to update. Currently, this only supports updating `custom_metadata` and `data`.
-> Chunk	`updateChunkRequestChunk`: Required. The `Chunk` to update.
-> UpdateChunkRequest

Construct a value of type UpdateChunkRequest (by applying it's required fields, if any)

UrlContextMetadata

data UrlContextMetadata Source #

UrlContextMetadata Metadata related to url context retrieval tool.

Constructors

UrlContextMetadata
Fields urlContextMetadataUrlMetadata :: !(Maybe [UrlMetadata]) "urlMetadata" - List of url context.

Instances

Instances details

FromJSON UrlContextMetadata Source #	FromJSON UrlContextMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser UrlContextMetadata # parseJSONList :: Value -> Parser [UrlContextMetadata] # omittedField :: Maybe UrlContextMetadata #
ToJSON UrlContextMetadata Source #	ToJSON UrlContextMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: UrlContextMetadata -> Value # toEncoding :: UrlContextMetadata -> Encoding # toJSONList :: [UrlContextMetadata] -> Value # toEncodingList :: [UrlContextMetadata] -> Encoding # omitField :: UrlContextMetadata -> Bool #
Show UrlContextMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> UrlContextMetadata -> ShowS # show :: UrlContextMetadata -> String # showList :: [UrlContextMetadata] -> ShowS #
Eq UrlContextMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: UrlContextMetadata -> UrlContextMetadata -> Bool # (/=) :: UrlContextMetadata -> UrlContextMetadata -> Bool #

mkUrlContextMetadata :: UrlContextMetadata Source #

Construct a value of type UrlContextMetadata (by applying it's required fields, if any)

UrlMetadata

data UrlMetadata Source #

UrlMetadata Context of the a single url retrieval.

Constructors

UrlMetadata
Fields urlMetadataRetrievedUrl :: !(Maybe Text) "retrievedUrl" - Retrieved url by the tool. urlMetadataUrlRetrievalStatus :: !(Maybe E'UrlRetrievalStatus) "urlRetrievalStatus" - Status of the url retrieval.

Instances

Instances details

FromJSON UrlMetadata Source #	FromJSON UrlMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser UrlMetadata # parseJSONList :: Value -> Parser [UrlMetadata] # omittedField :: Maybe UrlMetadata #
ToJSON UrlMetadata Source #	ToJSON UrlMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: UrlMetadata -> Value # toEncoding :: UrlMetadata -> Encoding # toJSONList :: [UrlMetadata] -> Value # toEncodingList :: [UrlMetadata] -> Encoding # omitField :: UrlMetadata -> Bool #
Show UrlMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> UrlMetadata -> ShowS # show :: UrlMetadata -> String # showList :: [UrlMetadata] -> ShowS #
Eq UrlMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: UrlMetadata -> UrlMetadata -> Bool # (/=) :: UrlMetadata -> UrlMetadata -> Bool #

mkUrlMetadata :: UrlMetadata Source #

Construct a value of type UrlMetadata (by applying it's required fields, if any)

UsageMetadata

data UsageMetadata Source #

UsageMetadata Metadata on the generation request's token usage.

Constructors

UsageMetadata

Fields

usageMetadataCandidatesTokensDetails :: !(Maybe [ModalityTokenCount])
ReadOnly "candidatesTokensDetails" - Output only. List of modalities that were returned in the response.
usageMetadataThoughtsTokenCount :: !(Maybe Int)
ReadOnly "thoughtsTokenCount" - Output only. Number of tokens of thoughts for thinking models.
usageMetadataToolUsePromptTokenCount :: !(Maybe Int)
ReadOnly "toolUsePromptTokenCount" - Output only. Number of tokens present in tool-use prompt(s).
usageMetadataCachedContentTokenCount :: !(Maybe Int)
"cachedContentTokenCount" - Number of tokens in the cached part of the prompt (the cached content)
usageMetadataPromptTokenCount :: !(Maybe Int)
"promptTokenCount" - 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.
usageMetadataCandidatesTokenCount :: !(Maybe Int)
"candidatesTokenCount" - Total number of tokens across all the generated response candidates.
usageMetadataPromptTokensDetails :: !(Maybe [ModalityTokenCount])
ReadOnly "promptTokensDetails" - Output only. List of modalities that were processed in the request input.
usageMetadataTotalTokenCount :: !(Maybe Int)
"totalTokenCount" - Total token count for the generation request (prompt + response candidates).
usageMetadataCacheTokensDetails :: !(Maybe [ModalityTokenCount])
ReadOnly "cacheTokensDetails" - Output only. List of modalities of the cached content in the request input.
usageMetadataToolUsePromptTokensDetails :: !(Maybe [ModalityTokenCount])
ReadOnly "toolUsePromptTokensDetails" - Output only. List of modalities that were processed for tool-use request inputs.

Instances

Instances details

FromJSON UsageMetadata Source #	FromJSON UsageMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser UsageMetadata # parseJSONList :: Value -> Parser [UsageMetadata] # omittedField :: Maybe UsageMetadata #
ToJSON UsageMetadata Source #	ToJSON UsageMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: UsageMetadata -> Value # toEncoding :: UsageMetadata -> Encoding # toJSONList :: [UsageMetadata] -> Value # toEncodingList :: [UsageMetadata] -> Encoding # omitField :: UsageMetadata -> Bool #
Show UsageMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> UsageMetadata -> ShowS # show :: UsageMetadata -> String # showList :: [UsageMetadata] -> ShowS #
Eq UsageMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: UsageMetadata -> UsageMetadata -> Bool # (/=) :: UsageMetadata -> UsageMetadata -> Bool #

mkUsageMetadata :: UsageMetadata Source #

Construct a value of type UsageMetadata (by applying it's required fields, if any)

Video

data Video Source #

Video Representation of a video.

Constructors

Video
Fields videoVideo :: !(Maybe ByteArray) "video" - Raw bytes. videoUri :: !(Maybe Text) "uri" - Path to another storage.

Instances

Instances details

FromJSON Video Source #	FromJSON Video
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Video # parseJSONList :: Value -> Parser [Video] # omittedField :: Maybe Video #
ToJSON Video Source #	ToJSON Video
Instance details Defined in GenAI.Client.Model Methods toJSON :: Video -> Value # toEncoding :: Video -> Encoding # toJSONList :: [Video] -> Value # toEncodingList :: [Video] -> Encoding # omitField :: Video -> Bool #
Show Video Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Video -> ShowS # show :: Video -> String # showList :: [Video] -> ShowS #
Eq Video Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Video -> Video -> Bool # (/=) :: Video -> Video -> Bool #

mkVideo :: Video Source #

Construct a value of type Video (by applying it's required fields, if any)

VideoFileMetadata

data VideoFileMetadata Source #

VideoFileMetadata Metadata for a video File.

Constructors

VideoFileMetadata
Fields videoFileMetadataVideoDuration :: !(Maybe Text) "videoDuration" - Duration of the video.

Instances

Instances details

FromJSON VideoFileMetadata Source #	FromJSON VideoFileMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser VideoFileMetadata # parseJSONList :: Value -> Parser [VideoFileMetadata] # omittedField :: Maybe VideoFileMetadata #
ToJSON VideoFileMetadata Source #	ToJSON VideoFileMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: VideoFileMetadata -> Value # toEncoding :: VideoFileMetadata -> Encoding # toJSONList :: [VideoFileMetadata] -> Value # toEncodingList :: [VideoFileMetadata] -> Encoding # omitField :: VideoFileMetadata -> Bool #
Show VideoFileMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> VideoFileMetadata -> ShowS # show :: VideoFileMetadata -> String # showList :: [VideoFileMetadata] -> ShowS #
Eq VideoFileMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: VideoFileMetadata -> VideoFileMetadata -> Bool # (/=) :: VideoFileMetadata -> VideoFileMetadata -> Bool #

mkVideoFileMetadata :: VideoFileMetadata Source #

Construct a value of type VideoFileMetadata (by applying it's required fields, if any)

VideoMetadata

data VideoMetadata Source #

VideoMetadata Metadata describes the input video content.

Constructors

VideoMetadata
Fields videoMetadataEndOffset :: !(Maybe Text) "endOffset" - Optional. The end offset of the video. videoMetadataStartOffset :: !(Maybe Text) "startOffset" - Optional. The start offset of the video. videoMetadataFps :: !(Maybe Double) "fps" - 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].

Instances

Instances details

FromJSON VideoMetadata Source #	FromJSON VideoMetadata
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser VideoMetadata # parseJSONList :: Value -> Parser [VideoMetadata] # omittedField :: Maybe VideoMetadata #
ToJSON VideoMetadata Source #	ToJSON VideoMetadata
Instance details Defined in GenAI.Client.Model Methods toJSON :: VideoMetadata -> Value # toEncoding :: VideoMetadata -> Encoding # toJSONList :: [VideoMetadata] -> Value # toEncodingList :: [VideoMetadata] -> Encoding # omitField :: VideoMetadata -> Bool #
Show VideoMetadata Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> VideoMetadata -> ShowS # show :: VideoMetadata -> String # showList :: [VideoMetadata] -> ShowS #
Eq VideoMetadata Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: VideoMetadata -> VideoMetadata -> Bool # (/=) :: VideoMetadata -> VideoMetadata -> Bool #

mkVideoMetadata :: VideoMetadata Source #

Construct a value of type VideoMetadata (by applying it's required fields, if any)

VoiceConfig

data VoiceConfig Source #

VoiceConfig The configuration for the voice to use.

Constructors

VoiceConfig
Fields voiceConfigPrebuiltVoiceConfig :: !(Maybe PrebuiltVoiceConfig) "prebuiltVoiceConfig" - The configuration for the prebuilt voice to use.

Instances

Instances details

FromJSON VoiceConfig Source #	FromJSON VoiceConfig
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser VoiceConfig # parseJSONList :: Value -> Parser [VoiceConfig] # omittedField :: Maybe VoiceConfig #
ToJSON VoiceConfig Source #	ToJSON VoiceConfig
Instance details Defined in GenAI.Client.Model Methods toJSON :: VoiceConfig -> Value # toEncoding :: VoiceConfig -> Encoding # toJSONList :: [VoiceConfig] -> Value # toEncodingList :: [VoiceConfig] -> Encoding # omitField :: VoiceConfig -> Bool #
Show VoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> VoiceConfig -> ShowS # show :: VoiceConfig -> String # showList :: [VoiceConfig] -> ShowS #
Eq VoiceConfig Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: VoiceConfig -> VoiceConfig -> Bool # (/=) :: VoiceConfig -> VoiceConfig -> Bool #

mkVoiceConfig :: VoiceConfig Source #

Construct a value of type VoiceConfig (by applying it's required fields, if any)

Web

data Web Source #

Web Chunk from the web.

Constructors

Web
Fields webTitle :: !(Maybe Text) "title" - Title of the chunk. webUri :: !(Maybe Text) "uri" - URI reference of the chunk.

Instances

Instances details

FromJSON Web Source #	FromJSON Web
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Web # parseJSONList :: Value -> Parser [Web] # omittedField :: Maybe Web #
ToJSON Web Source #	ToJSON Web
Instance details Defined in GenAI.Client.Model Methods toJSON :: Web -> Value # toEncoding :: Web -> Encoding # toJSONList :: [Web] -> Value # toEncodingList :: [Web] -> Encoding # omitField :: Web -> Bool #
Show Web Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Web -> ShowS # show :: Web -> String # showList :: [Web] -> ShowS #
Eq Web Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Web -> Web -> Bool # (/=) :: Web -> Web -> Bool #

mkWeb :: Web Source #

Construct a value of type Web (by applying it's required fields, if any)

Enums

E'Alt

data E'Alt Source #

Enum of Text

Constructors

E'Alt'Json	"json"
E'Alt'Media	"media"
E'Alt'Proto	"proto"

Instances

Instances details

FromJSON E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Alt # parseJSONList :: Value -> Parser [E'Alt] # omittedField :: Maybe E'Alt #
ToJSON E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Alt -> Value # toEncoding :: E'Alt -> Encoding # toJSONList :: [E'Alt] -> Value # toEncodingList :: [E'Alt] -> Encoding # omitField :: E'Alt -> Bool #
Bounded E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Alt # maxBound :: E'Alt #
Enum E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Alt -> E'Alt # pred :: E'Alt -> E'Alt # toEnum :: Int -> E'Alt # fromEnum :: E'Alt -> Int # enumFrom :: E'Alt -> [E'Alt] # enumFromThen :: E'Alt -> E'Alt -> [E'Alt] # enumFromTo :: E'Alt -> E'Alt -> [E'Alt] # enumFromThenTo :: E'Alt -> E'Alt -> E'Alt -> [E'Alt] #
Show E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Alt -> ShowS # show :: E'Alt -> String # showList :: [E'Alt] -> ShowS #
Eq E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Alt -> E'Alt -> Bool # (/=) :: E'Alt -> E'Alt -> Bool #
Ord E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Alt -> E'Alt -> Ordering # (<) :: E'Alt -> E'Alt -> Bool # (<=) :: E'Alt -> E'Alt -> Bool # (>) :: E'Alt -> E'Alt -> Bool # (>=) :: E'Alt -> E'Alt -> Bool # max :: E'Alt -> E'Alt -> E'Alt # min :: E'Alt -> E'Alt -> E'Alt #
FromHttpApiData E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Alt # parseHeader :: ByteString -> Either Text E'Alt # parseQueryParam :: Text -> Either Text E'Alt #
ToHttpApiData E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Alt -> Text # toEncodedUrlPiece :: E'Alt -> Builder # toHeader :: E'Alt -> ByteString # toQueryParam :: E'Alt -> Text # toEncodedQueryParam :: E'Alt -> Builder #
MimeRender MimeMultipartFormData E'Alt Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Alt -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Alt -> ByteString Source #

fromE'Alt :: E'Alt -> Text Source #

unwrap E'Alt enum

toE'Alt :: Text -> Either String E'Alt Source #

parse E'Alt enum

E'AnswerStyle

data E'AnswerStyle Source #

Enum of Text . Required. Style in which answers should be returned.

Constructors

E'AnswerStyle'ANSWER_STYLE_UNSPECIFIED	ANSWER_STYLE_UNSPECIFIED
E'AnswerStyle'ABSTRACTIVE	ABSTRACTIVE
E'AnswerStyle'EXTRACTIVE	EXTRACTIVE
E'AnswerStyle'VERBOSE	VERBOSE

Instances

Instances details

FromJSON E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'AnswerStyle # parseJSONList :: Value -> Parser [E'AnswerStyle] # omittedField :: Maybe E'AnswerStyle #
ToJSON E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'AnswerStyle -> Value # toEncoding :: E'AnswerStyle -> Encoding # toJSONList :: [E'AnswerStyle] -> Value # toEncodingList :: [E'AnswerStyle] -> Encoding # omitField :: E'AnswerStyle -> Bool #
Bounded E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'AnswerStyle # maxBound :: E'AnswerStyle #
Enum E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'AnswerStyle -> E'AnswerStyle # pred :: E'AnswerStyle -> E'AnswerStyle # toEnum :: Int -> E'AnswerStyle # fromEnum :: E'AnswerStyle -> Int # enumFrom :: E'AnswerStyle -> [E'AnswerStyle] # enumFromThen :: E'AnswerStyle -> E'AnswerStyle -> [E'AnswerStyle] # enumFromTo :: E'AnswerStyle -> E'AnswerStyle -> [E'AnswerStyle] # enumFromThenTo :: E'AnswerStyle -> E'AnswerStyle -> E'AnswerStyle -> [E'AnswerStyle] #
Show E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'AnswerStyle -> ShowS # show :: E'AnswerStyle -> String # showList :: [E'AnswerStyle] -> ShowS #
Eq E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'AnswerStyle -> E'AnswerStyle -> Bool # (/=) :: E'AnswerStyle -> E'AnswerStyle -> Bool #
Ord E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'AnswerStyle -> E'AnswerStyle -> Ordering # (<) :: E'AnswerStyle -> E'AnswerStyle -> Bool # (<=) :: E'AnswerStyle -> E'AnswerStyle -> Bool # (>) :: E'AnswerStyle -> E'AnswerStyle -> Bool # (>=) :: E'AnswerStyle -> E'AnswerStyle -> Bool # max :: E'AnswerStyle -> E'AnswerStyle -> E'AnswerStyle # min :: E'AnswerStyle -> E'AnswerStyle -> E'AnswerStyle #
FromHttpApiData E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'AnswerStyle # parseHeader :: ByteString -> Either Text E'AnswerStyle # parseQueryParam :: Text -> Either Text E'AnswerStyle #
ToHttpApiData E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'AnswerStyle -> Text # toEncodedUrlPiece :: E'AnswerStyle -> Builder # toHeader :: E'AnswerStyle -> ByteString # toQueryParam :: E'AnswerStyle -> Text # toEncodedQueryParam :: E'AnswerStyle -> Builder #
MimeRender MimeMultipartFormData E'AnswerStyle Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'AnswerStyle -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'AnswerStyle -> ByteString Source #

fromE'AnswerStyle :: E'AnswerStyle -> Text Source #

unwrap E'AnswerStyle enum

toE'AnswerStyle :: Text -> Either String E'AnswerStyle Source #

parse E'AnswerStyle enum

E'Behavior

data E'Behavior Source #

Enum of Text . Optional. Specifies the function Behavior. Currently only supported by the BidiGenerateContent method.

Constructors

E'Behavior'UNSPECIFIED	UNSPECIFIED
E'Behavior'BLOCKING	BLOCKING
E'Behavior'NON_BLOCKING	NON_BLOCKING

Instances

Instances details

FromJSON E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Behavior # parseJSONList :: Value -> Parser [E'Behavior] # omittedField :: Maybe E'Behavior #
ToJSON E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Behavior -> Value # toEncoding :: E'Behavior -> Encoding # toJSONList :: [E'Behavior] -> Value # toEncodingList :: [E'Behavior] -> Encoding # omitField :: E'Behavior -> Bool #
Bounded E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Behavior # maxBound :: E'Behavior #
Enum E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Behavior -> E'Behavior # pred :: E'Behavior -> E'Behavior # toEnum :: Int -> E'Behavior # fromEnum :: E'Behavior -> Int # enumFrom :: E'Behavior -> [E'Behavior] # enumFromThen :: E'Behavior -> E'Behavior -> [E'Behavior] # enumFromTo :: E'Behavior -> E'Behavior -> [E'Behavior] # enumFromThenTo :: E'Behavior -> E'Behavior -> E'Behavior -> [E'Behavior] #
Show E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Behavior -> ShowS # show :: E'Behavior -> String # showList :: [E'Behavior] -> ShowS #
Eq E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Behavior -> E'Behavior -> Bool # (/=) :: E'Behavior -> E'Behavior -> Bool #
Ord E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Behavior -> E'Behavior -> Ordering # (<) :: E'Behavior -> E'Behavior -> Bool # (<=) :: E'Behavior -> E'Behavior -> Bool # (>) :: E'Behavior -> E'Behavior -> Bool # (>=) :: E'Behavior -> E'Behavior -> Bool # max :: E'Behavior -> E'Behavior -> E'Behavior # min :: E'Behavior -> E'Behavior -> E'Behavior #
FromHttpApiData E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Behavior # parseHeader :: ByteString -> Either Text E'Behavior # parseQueryParam :: Text -> Either Text E'Behavior #
ToHttpApiData E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Behavior -> Text # toEncodedUrlPiece :: E'Behavior -> Builder # toHeader :: E'Behavior -> ByteString # toQueryParam :: E'Behavior -> Text # toEncodedQueryParam :: E'Behavior -> Builder #
MimeRender MimeMultipartFormData E'Behavior Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Behavior -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Behavior -> ByteString Source #

fromE'Behavior :: E'Behavior -> Text Source #

unwrap E'Behavior enum

toE'Behavior :: Text -> Either String E'Behavior Source #

parse E'Behavior enum

E'BlockReason

data E'BlockReason Source #

Enum of Text . Optional. If set, the prompt was blocked and no candidates are returned. Rephrase the prompt.

Constructors

E'BlockReason'BLOCK_REASON_UNSPECIFIED	BLOCK_REASON_UNSPECIFIED
E'BlockReason'SAFETY	SAFETY
E'BlockReason'OTHER	OTHER
E'BlockReason'BLOCKLIST	BLOCKLIST
E'BlockReason'PROHIBITED_CONTENT	PROHIBITED_CONTENT
E'BlockReason'IMAGE_SAFETY	IMAGE_SAFETY

Instances

Instances details

FromJSON E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'BlockReason # parseJSONList :: Value -> Parser [E'BlockReason] # omittedField :: Maybe E'BlockReason #
ToJSON E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'BlockReason -> Value # toEncoding :: E'BlockReason -> Encoding # toJSONList :: [E'BlockReason] -> Value # toEncodingList :: [E'BlockReason] -> Encoding # omitField :: E'BlockReason -> Bool #
Bounded E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'BlockReason # maxBound :: E'BlockReason #
Enum E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'BlockReason -> E'BlockReason # pred :: E'BlockReason -> E'BlockReason # toEnum :: Int -> E'BlockReason # fromEnum :: E'BlockReason -> Int # enumFrom :: E'BlockReason -> [E'BlockReason] # enumFromThen :: E'BlockReason -> E'BlockReason -> [E'BlockReason] # enumFromTo :: E'BlockReason -> E'BlockReason -> [E'BlockReason] # enumFromThenTo :: E'BlockReason -> E'BlockReason -> E'BlockReason -> [E'BlockReason] #
Show E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'BlockReason -> ShowS # show :: E'BlockReason -> String # showList :: [E'BlockReason] -> ShowS #
Eq E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'BlockReason -> E'BlockReason -> Bool # (/=) :: E'BlockReason -> E'BlockReason -> Bool #
Ord E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'BlockReason -> E'BlockReason -> Ordering # (<) :: E'BlockReason -> E'BlockReason -> Bool # (<=) :: E'BlockReason -> E'BlockReason -> Bool # (>) :: E'BlockReason -> E'BlockReason -> Bool # (>=) :: E'BlockReason -> E'BlockReason -> Bool # max :: E'BlockReason -> E'BlockReason -> E'BlockReason # min :: E'BlockReason -> E'BlockReason -> E'BlockReason #
FromHttpApiData E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'BlockReason # parseHeader :: ByteString -> Either Text E'BlockReason # parseQueryParam :: Text -> Either Text E'BlockReason #
ToHttpApiData E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'BlockReason -> Text # toEncodedUrlPiece :: E'BlockReason -> Builder # toHeader :: E'BlockReason -> ByteString # toQueryParam :: E'BlockReason -> Text # toEncodedQueryParam :: E'BlockReason -> Builder #
MimeRender MimeMultipartFormData E'BlockReason Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'BlockReason -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'BlockReason -> ByteString Source #

fromE'BlockReason :: E'BlockReason -> Text Source #

unwrap E'BlockReason enum

toE'BlockReason :: Text -> Either String E'BlockReason Source #

parse E'BlockReason enum

E'BlockReason2

data E'BlockReason2 Source #

Enum of Text . Optional. If set, the input was blocked and no candidates are returned. Rephrase the input.

Constructors

E'BlockReason2'BLOCK_REASON_UNSPECIFIED	BLOCK_REASON_UNSPECIFIED
E'BlockReason2'SAFETY	SAFETY
E'BlockReason2'OTHER	OTHER

Instances

Instances details

FromJSON E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'BlockReason2 # parseJSONList :: Value -> Parser [E'BlockReason2] # omittedField :: Maybe E'BlockReason2 #
ToJSON E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'BlockReason2 -> Value # toEncoding :: E'BlockReason2 -> Encoding # toJSONList :: [E'BlockReason2] -> Value # toEncodingList :: [E'BlockReason2] -> Encoding # omitField :: E'BlockReason2 -> Bool #
Bounded E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'BlockReason2 # maxBound :: E'BlockReason2 #
Enum E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'BlockReason2 -> E'BlockReason2 # pred :: E'BlockReason2 -> E'BlockReason2 # toEnum :: Int -> E'BlockReason2 # fromEnum :: E'BlockReason2 -> Int # enumFrom :: E'BlockReason2 -> [E'BlockReason2] # enumFromThen :: E'BlockReason2 -> E'BlockReason2 -> [E'BlockReason2] # enumFromTo :: E'BlockReason2 -> E'BlockReason2 -> [E'BlockReason2] # enumFromThenTo :: E'BlockReason2 -> E'BlockReason2 -> E'BlockReason2 -> [E'BlockReason2] #
Show E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'BlockReason2 -> ShowS # show :: E'BlockReason2 -> String # showList :: [E'BlockReason2] -> ShowS #
Eq E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'BlockReason2 -> E'BlockReason2 -> Bool # (/=) :: E'BlockReason2 -> E'BlockReason2 -> Bool #
Ord E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'BlockReason2 -> E'BlockReason2 -> Ordering # (<) :: E'BlockReason2 -> E'BlockReason2 -> Bool # (<=) :: E'BlockReason2 -> E'BlockReason2 -> Bool # (>) :: E'BlockReason2 -> E'BlockReason2 -> Bool # (>=) :: E'BlockReason2 -> E'BlockReason2 -> Bool # max :: E'BlockReason2 -> E'BlockReason2 -> E'BlockReason2 # min :: E'BlockReason2 -> E'BlockReason2 -> E'BlockReason2 #
FromHttpApiData E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'BlockReason2 # parseHeader :: ByteString -> Either Text E'BlockReason2 # parseQueryParam :: Text -> Either Text E'BlockReason2 #
ToHttpApiData E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'BlockReason2 -> Text # toEncodedUrlPiece :: E'BlockReason2 -> Builder # toHeader :: E'BlockReason2 -> ByteString # toQueryParam :: E'BlockReason2 -> Text # toEncodedQueryParam :: E'BlockReason2 -> Builder #
MimeRender MimeMultipartFormData E'BlockReason2 Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'BlockReason2 -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'BlockReason2 -> ByteString Source #

fromE'BlockReason2 :: E'BlockReason2 -> Text Source #

unwrap E'BlockReason2 enum

toE'BlockReason2 :: Text -> Either String E'BlockReason2 Source #

parse E'BlockReason2 enum

E'FinishReason

data E'FinishReason Source #

Enum of Text . Optional. Output only. The reason why the model stopped generating tokens. If empty, the model has not stopped generating tokens.

Instances

Instances details

FromJSON E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'FinishReason # parseJSONList :: Value -> Parser [E'FinishReason] # omittedField :: Maybe E'FinishReason #
ToJSON E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'FinishReason -> Value # toEncoding :: E'FinishReason -> Encoding # toJSONList :: [E'FinishReason] -> Value # toEncodingList :: [E'FinishReason] -> Encoding # omitField :: E'FinishReason -> Bool #
Bounded E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'FinishReason # maxBound :: E'FinishReason #
Enum E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'FinishReason -> E'FinishReason # pred :: E'FinishReason -> E'FinishReason # toEnum :: Int -> E'FinishReason # fromEnum :: E'FinishReason -> Int # enumFrom :: E'FinishReason -> [E'FinishReason] # enumFromThen :: E'FinishReason -> E'FinishReason -> [E'FinishReason] # enumFromTo :: E'FinishReason -> E'FinishReason -> [E'FinishReason] # enumFromThenTo :: E'FinishReason -> E'FinishReason -> E'FinishReason -> [E'FinishReason] #
Show E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'FinishReason -> ShowS # show :: E'FinishReason -> String # showList :: [E'FinishReason] -> ShowS #
Eq E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'FinishReason -> E'FinishReason -> Bool # (/=) :: E'FinishReason -> E'FinishReason -> Bool #
Ord E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'FinishReason -> E'FinishReason -> Ordering # (<) :: E'FinishReason -> E'FinishReason -> Bool # (<=) :: E'FinishReason -> E'FinishReason -> Bool # (>) :: E'FinishReason -> E'FinishReason -> Bool # (>=) :: E'FinishReason -> E'FinishReason -> Bool # max :: E'FinishReason -> E'FinishReason -> E'FinishReason # min :: E'FinishReason -> E'FinishReason -> E'FinishReason #
FromHttpApiData E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'FinishReason # parseHeader :: ByteString -> Either Text E'FinishReason # parseQueryParam :: Text -> Either Text E'FinishReason #
ToHttpApiData E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'FinishReason -> Text # toEncodedUrlPiece :: E'FinishReason -> Builder # toHeader :: E'FinishReason -> ByteString # toQueryParam :: E'FinishReason -> Text # toEncodedQueryParam :: E'FinishReason -> Builder #
MimeRender MimeMultipartFormData E'FinishReason Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'FinishReason -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'FinishReason -> ByteString Source #

fromE'FinishReason :: E'FinishReason -> Text Source #

unwrap E'FinishReason enum

toE'FinishReason :: Text -> Either String E'FinishReason Source #

parse E'FinishReason enum

E'GranteeType

data E'GranteeType Source #

Enum of Text . Optional. Immutable. The type of the grantee.

Constructors

E'GranteeType'GRANTEE_TYPE_UNSPECIFIED	GRANTEE_TYPE_UNSPECIFIED
E'GranteeType'USER	USER
E'GranteeType'GROUP	GROUP
E'GranteeType'EVERYONE	EVERYONE

Instances

Instances details

FromJSON E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'GranteeType # parseJSONList :: Value -> Parser [E'GranteeType] # omittedField :: Maybe E'GranteeType #
ToJSON E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'GranteeType -> Value # toEncoding :: E'GranteeType -> Encoding # toJSONList :: [E'GranteeType] -> Value # toEncodingList :: [E'GranteeType] -> Encoding # omitField :: E'GranteeType -> Bool #
Bounded E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'GranteeType # maxBound :: E'GranteeType #
Enum E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'GranteeType -> E'GranteeType # pred :: E'GranteeType -> E'GranteeType # toEnum :: Int -> E'GranteeType # fromEnum :: E'GranteeType -> Int # enumFrom :: E'GranteeType -> [E'GranteeType] # enumFromThen :: E'GranteeType -> E'GranteeType -> [E'GranteeType] # enumFromTo :: E'GranteeType -> E'GranteeType -> [E'GranteeType] # enumFromThenTo :: E'GranteeType -> E'GranteeType -> E'GranteeType -> [E'GranteeType] #
Show E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'GranteeType -> ShowS # show :: E'GranteeType -> String # showList :: [E'GranteeType] -> ShowS #
Eq E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'GranteeType -> E'GranteeType -> Bool # (/=) :: E'GranteeType -> E'GranteeType -> Bool #
Ord E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'GranteeType -> E'GranteeType -> Ordering # (<) :: E'GranteeType -> E'GranteeType -> Bool # (<=) :: E'GranteeType -> E'GranteeType -> Bool # (>) :: E'GranteeType -> E'GranteeType -> Bool # (>=) :: E'GranteeType -> E'GranteeType -> Bool # max :: E'GranteeType -> E'GranteeType -> E'GranteeType # min :: E'GranteeType -> E'GranteeType -> E'GranteeType #
FromHttpApiData E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'GranteeType # parseHeader :: ByteString -> Either Text E'GranteeType # parseQueryParam :: Text -> Either Text E'GranteeType #
ToHttpApiData E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'GranteeType -> Text # toEncodedUrlPiece :: E'GranteeType -> Builder # toHeader :: E'GranteeType -> ByteString # toQueryParam :: E'GranteeType -> Text # toEncodedQueryParam :: E'GranteeType -> Builder #
MimeRender MimeMultipartFormData E'GranteeType Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'GranteeType -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'GranteeType -> ByteString Source #

fromE'GranteeType :: E'GranteeType -> Text Source #

unwrap E'GranteeType enum

toE'GranteeType :: Text -> Either String E'GranteeType Source #

parse E'GranteeType enum

E'Language

data E'Language Source #

Enum of Text . Required. Programming language of the code.

Constructors

E'Language'LANGUAGE_UNSPECIFIED	LANGUAGE_UNSPECIFIED
E'Language'PYTHON	PYTHON

Instances

Instances details

FromJSON E'Language Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Language # parseJSONList :: Value -> Parser [E'Language] # omittedField :: Maybe E'Language #
ToJSON E'Language Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Language -> Value # toEncoding :: E'Language -> Encoding # toJSONList :: [E'Language] -> Value # toEncodingList :: [E'Language] -> Encoding # omitField :: E'Language -> Bool #
Bounded E'Language Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Language # maxBound :: E'Language #
Enum E'Language Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Language -> E'Language # pred :: E'Language -> E'Language # toEnum :: Int -> E'Language # fromEnum :: E'Language -> Int # enumFrom :: E'Language -> [E'Language] # enumFromThen :: E'Language -> E'Language -> [E'Language] # enumFromTo :: E'Language -> E'Language -> [E'Language] # enumFromThenTo :: E'Language -> E'Language -> E'Language -> [E'Language] #
Show E'Language Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Language -> ShowS # show :: E'Language -> String # showList :: [E'Language] -> ShowS #
Eq E'Language Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Language -> E'Language -> Bool # (/=) :: E'Language -> E'Language -> Bool #
Ord E'Language Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Language -> E'Language -> Ordering # (<) :: E'Language -> E'Language -> Bool # (<=) :: E'Language -> E'Language -> Bool # (>) :: E'Language -> E'Language -> Bool # (>=) :: E'Language -> E'Language -> Bool # max :: E'Language -> E'Language -> E'Language # min :: E'Language -> E'Language -> E'Language #
FromHttpApiData E'Language Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Language # parseHeader :: ByteString -> Either Text E'Language # parseQueryParam :: Text -> Either Text E'Language #
ToHttpApiData E'Language Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Language -> Text # toEncodedUrlPiece :: E'Language -> Builder # toHeader :: E'Language -> ByteString # toQueryParam :: E'Language -> Text # toEncodedQueryParam :: E'Language -> Builder #
MimeRender MimeMultipartFormData E'Language Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Language -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Language -> ByteString Source #

fromE'Language :: E'Language -> Text Source #

unwrap E'Language enum

toE'Language :: Text -> Either String E'Language Source #

parse E'Language enum

E'MediaResolution

data E'MediaResolution Source #

Enum of Text . Optional. If specified, the media resolution specified will be used.

Constructors

E'MediaResolution'UNSPECIFIED	MEDIA_RESOLUTION_UNSPECIFIED
E'MediaResolution'LOW	MEDIA_RESOLUTION_LOW
E'MediaResolution'MEDIUM	MEDIA_RESOLUTION_MEDIUM
E'MediaResolution'HIGH	MEDIA_RESOLUTION_HIGH

Instances

Instances details

FromJSON E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'MediaResolution # parseJSONList :: Value -> Parser [E'MediaResolution] # omittedField :: Maybe E'MediaResolution #
ToJSON E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'MediaResolution -> Value # toEncoding :: E'MediaResolution -> Encoding # toJSONList :: [E'MediaResolution] -> Value # toEncodingList :: [E'MediaResolution] -> Encoding # omitField :: E'MediaResolution -> Bool #
Bounded E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'MediaResolution # maxBound :: E'MediaResolution #
Enum E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'MediaResolution -> E'MediaResolution # pred :: E'MediaResolution -> E'MediaResolution # toEnum :: Int -> E'MediaResolution # fromEnum :: E'MediaResolution -> Int # enumFrom :: E'MediaResolution -> [E'MediaResolution] # enumFromThen :: E'MediaResolution -> E'MediaResolution -> [E'MediaResolution] # enumFromTo :: E'MediaResolution -> E'MediaResolution -> [E'MediaResolution] # enumFromThenTo :: E'MediaResolution -> E'MediaResolution -> E'MediaResolution -> [E'MediaResolution] #
Show E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'MediaResolution -> ShowS # show :: E'MediaResolution -> String # showList :: [E'MediaResolution] -> ShowS #
Eq E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'MediaResolution -> E'MediaResolution -> Bool # (/=) :: E'MediaResolution -> E'MediaResolution -> Bool #
Ord E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'MediaResolution -> E'MediaResolution -> Ordering # (<) :: E'MediaResolution -> E'MediaResolution -> Bool # (<=) :: E'MediaResolution -> E'MediaResolution -> Bool # (>) :: E'MediaResolution -> E'MediaResolution -> Bool # (>=) :: E'MediaResolution -> E'MediaResolution -> Bool # max :: E'MediaResolution -> E'MediaResolution -> E'MediaResolution # min :: E'MediaResolution -> E'MediaResolution -> E'MediaResolution #
FromHttpApiData E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'MediaResolution # parseHeader :: ByteString -> Either Text E'MediaResolution # parseQueryParam :: Text -> Either Text E'MediaResolution #
ToHttpApiData E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'MediaResolution -> Text # toEncodedUrlPiece :: E'MediaResolution -> Builder # toHeader :: E'MediaResolution -> ByteString # toQueryParam :: E'MediaResolution -> Text # toEncodedQueryParam :: E'MediaResolution -> Builder #
MimeRender MimeMultipartFormData E'MediaResolution Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'MediaResolution -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'MediaResolution -> ByteString Source #

fromE'MediaResolution :: E'MediaResolution -> Text Source #

unwrap E'MediaResolution enum

toE'MediaResolution :: Text -> Either String E'MediaResolution Source #

parse E'MediaResolution enum

E'Mode

data E'Mode Source #

Enum of Text . The mode of the predictor to be used in dynamic retrieval.

Constructors

E'Mode'UNSPECIFIED	MODE_UNSPECIFIED
E'Mode'DYNAMIC	MODE_DYNAMIC

Instances

Instances details

FromJSON E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Mode # parseJSONList :: Value -> Parser [E'Mode] # omittedField :: Maybe E'Mode #
ToJSON E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Mode -> Value # toEncoding :: E'Mode -> Encoding # toJSONList :: [E'Mode] -> Value # toEncodingList :: [E'Mode] -> Encoding # omitField :: E'Mode -> Bool #
Bounded E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Mode # maxBound :: E'Mode #
Enum E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Mode -> E'Mode # pred :: E'Mode -> E'Mode # toEnum :: Int -> E'Mode # fromEnum :: E'Mode -> Int # enumFrom :: E'Mode -> [E'Mode] # enumFromThen :: E'Mode -> E'Mode -> [E'Mode] # enumFromTo :: E'Mode -> E'Mode -> [E'Mode] # enumFromThenTo :: E'Mode -> E'Mode -> E'Mode -> [E'Mode] #
Show E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Mode -> ShowS # show :: E'Mode -> String # showList :: [E'Mode] -> ShowS #
Eq E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Mode -> E'Mode -> Bool # (/=) :: E'Mode -> E'Mode -> Bool #
Ord E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Mode -> E'Mode -> Ordering # (<) :: E'Mode -> E'Mode -> Bool # (<=) :: E'Mode -> E'Mode -> Bool # (>) :: E'Mode -> E'Mode -> Bool # (>=) :: E'Mode -> E'Mode -> Bool # max :: E'Mode -> E'Mode -> E'Mode # min :: E'Mode -> E'Mode -> E'Mode #
FromHttpApiData E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Mode # parseHeader :: ByteString -> Either Text E'Mode # parseQueryParam :: Text -> Either Text E'Mode #
ToHttpApiData E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Mode -> Text # toEncodedUrlPiece :: E'Mode -> Builder # toHeader :: E'Mode -> ByteString # toQueryParam :: E'Mode -> Text # toEncodedQueryParam :: E'Mode -> Builder #
MimeRender MimeMultipartFormData E'Mode Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Mode -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Mode -> ByteString Source #

fromE'Mode :: E'Mode -> Text Source #

unwrap E'Mode enum

toE'Mode :: Text -> Either String E'Mode Source #

parse E'Mode enum

E'Mode2

data E'Mode2 Source #

Enum of Text . Optional. Specifies the mode in which function calling should execute. If unspecified, the default value will be set to AUTO.

Constructors

E'Mode2'MODE_UNSPECIFIED	MODE_UNSPECIFIED
E'Mode2'AUTO	AUTO
E'Mode2'ANY	ANY
E'Mode2'NONE	NONE
E'Mode2'VALIDATED	VALIDATED

Instances

Instances details

FromJSON E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Mode2 # parseJSONList :: Value -> Parser [E'Mode2] # omittedField :: Maybe E'Mode2 #
ToJSON E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Mode2 -> Value # toEncoding :: E'Mode2 -> Encoding # toJSONList :: [E'Mode2] -> Value # toEncodingList :: [E'Mode2] -> Encoding # omitField :: E'Mode2 -> Bool #
Bounded E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Mode2 # maxBound :: E'Mode2 #
Enum E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Mode2 -> E'Mode2 # pred :: E'Mode2 -> E'Mode2 # toEnum :: Int -> E'Mode2 # fromEnum :: E'Mode2 -> Int # enumFrom :: E'Mode2 -> [E'Mode2] # enumFromThen :: E'Mode2 -> E'Mode2 -> [E'Mode2] # enumFromTo :: E'Mode2 -> E'Mode2 -> [E'Mode2] # enumFromThenTo :: E'Mode2 -> E'Mode2 -> E'Mode2 -> [E'Mode2] #
Show E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Mode2 -> ShowS # show :: E'Mode2 -> String # showList :: [E'Mode2] -> ShowS #
Eq E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Mode2 -> E'Mode2 -> Bool # (/=) :: E'Mode2 -> E'Mode2 -> Bool #
Ord E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Mode2 -> E'Mode2 -> Ordering # (<) :: E'Mode2 -> E'Mode2 -> Bool # (<=) :: E'Mode2 -> E'Mode2 -> Bool # (>) :: E'Mode2 -> E'Mode2 -> Bool # (>=) :: E'Mode2 -> E'Mode2 -> Bool # max :: E'Mode2 -> E'Mode2 -> E'Mode2 # min :: E'Mode2 -> E'Mode2 -> E'Mode2 #
FromHttpApiData E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Mode2 # parseHeader :: ByteString -> Either Text E'Mode2 # parseQueryParam :: Text -> Either Text E'Mode2 #
ToHttpApiData E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Mode2 -> Text # toEncodedUrlPiece :: E'Mode2 -> Builder # toHeader :: E'Mode2 -> ByteString # toQueryParam :: E'Mode2 -> Text # toEncodedQueryParam :: E'Mode2 -> Builder #
MimeRender MimeMultipartFormData E'Mode2 Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Mode2 -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Mode2 -> ByteString Source #

fromE'Mode2 :: E'Mode2 -> Text Source #

unwrap E'Mode2 enum

toE'Mode2 :: Text -> Either String E'Mode2 Source #

parse E'Mode2 enum

E'Operation

data E'Operation Source #

Enum of Text . Required. Operator applied to the given key-value pair to trigger the condition.

Constructors

E'Operation'OPERATOR_UNSPECIFIED	OPERATOR_UNSPECIFIED
E'Operation'LESS	LESS
E'Operation'LESS_EQUAL	LESS_EQUAL
E'Operation'EQUAL	EQUAL
E'Operation'GREATER_EQUAL	GREATER_EQUAL
E'Operation'GREATER	GREATER
E'Operation'NOT_EQUAL	NOT_EQUAL
E'Operation'INCLUDES	INCLUDES
E'Operation'EXCLUDES	EXCLUDES

Instances

Instances details

FromJSON E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Operation # parseJSONList :: Value -> Parser [E'Operation] # omittedField :: Maybe E'Operation #
ToJSON E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Operation -> Value # toEncoding :: E'Operation -> Encoding # toJSONList :: [E'Operation] -> Value # toEncodingList :: [E'Operation] -> Encoding # omitField :: E'Operation -> Bool #
Bounded E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Operation # maxBound :: E'Operation #
Enum E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Operation -> E'Operation # pred :: E'Operation -> E'Operation # toEnum :: Int -> E'Operation # fromEnum :: E'Operation -> Int # enumFrom :: E'Operation -> [E'Operation] # enumFromThen :: E'Operation -> E'Operation -> [E'Operation] # enumFromTo :: E'Operation -> E'Operation -> [E'Operation] # enumFromThenTo :: E'Operation -> E'Operation -> E'Operation -> [E'Operation] #
Show E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Operation -> ShowS # show :: E'Operation -> String # showList :: [E'Operation] -> ShowS #
Eq E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Operation -> E'Operation -> Bool # (/=) :: E'Operation -> E'Operation -> Bool #
Ord E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Operation -> E'Operation -> Ordering # (<) :: E'Operation -> E'Operation -> Bool # (<=) :: E'Operation -> E'Operation -> Bool # (>) :: E'Operation -> E'Operation -> Bool # (>=) :: E'Operation -> E'Operation -> Bool # max :: E'Operation -> E'Operation -> E'Operation # min :: E'Operation -> E'Operation -> E'Operation #
FromHttpApiData E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Operation # parseHeader :: ByteString -> Either Text E'Operation # parseQueryParam :: Text -> Either Text E'Operation #
ToHttpApiData E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Operation -> Text # toEncodedUrlPiece :: E'Operation -> Builder # toHeader :: E'Operation -> ByteString # toQueryParam :: E'Operation -> Text # toEncodedQueryParam :: E'Operation -> Builder #
MimeRender MimeMultipartFormData E'Operation Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Operation -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Operation -> ByteString Source #

fromE'Operation :: E'Operation -> Text Source #

unwrap E'Operation enum

toE'Operation :: Text -> Either String E'Operation Source #

parse E'Operation enum

E'Outcome

data E'Outcome Source #

Enum of Text . Required. Outcome of the code execution.

Constructors

E'Outcome'UNSPECIFIED	OUTCOME_UNSPECIFIED
E'Outcome'OK	OUTCOME_OK
E'Outcome'FAILED	OUTCOME_FAILED
E'Outcome'DEADLINE_EXCEEDED	OUTCOME_DEADLINE_EXCEEDED

Instances

Instances details

FromJSON E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Outcome # parseJSONList :: Value -> Parser [E'Outcome] # omittedField :: Maybe E'Outcome #
ToJSON E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Outcome -> Value # toEncoding :: E'Outcome -> Encoding # toJSONList :: [E'Outcome] -> Value # toEncodingList :: [E'Outcome] -> Encoding # omitField :: E'Outcome -> Bool #
Bounded E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Outcome # maxBound :: E'Outcome #
Enum E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Outcome -> E'Outcome # pred :: E'Outcome -> E'Outcome # toEnum :: Int -> E'Outcome # fromEnum :: E'Outcome -> Int # enumFrom :: E'Outcome -> [E'Outcome] # enumFromThen :: E'Outcome -> E'Outcome -> [E'Outcome] # enumFromTo :: E'Outcome -> E'Outcome -> [E'Outcome] # enumFromThenTo :: E'Outcome -> E'Outcome -> E'Outcome -> [E'Outcome] #
Show E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Outcome -> ShowS # show :: E'Outcome -> String # showList :: [E'Outcome] -> ShowS #
Eq E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Outcome -> E'Outcome -> Bool # (/=) :: E'Outcome -> E'Outcome -> Bool #
Ord E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Outcome -> E'Outcome -> Ordering # (<) :: E'Outcome -> E'Outcome -> Bool # (<=) :: E'Outcome -> E'Outcome -> Bool # (>) :: E'Outcome -> E'Outcome -> Bool # (>=) :: E'Outcome -> E'Outcome -> Bool # max :: E'Outcome -> E'Outcome -> E'Outcome # min :: E'Outcome -> E'Outcome -> E'Outcome #
FromHttpApiData E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Outcome # parseHeader :: ByteString -> Either Text E'Outcome # parseQueryParam :: Text -> Either Text E'Outcome #
ToHttpApiData E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Outcome -> Text # toEncodedUrlPiece :: E'Outcome -> Builder # toHeader :: E'Outcome -> ByteString # toQueryParam :: E'Outcome -> Text # toEncodedQueryParam :: E'Outcome -> Builder #
MimeRender MimeMultipartFormData E'Outcome Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Outcome -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Outcome -> ByteString Source #

fromE'Outcome :: E'Outcome -> Text Source #

unwrap E'Outcome enum

toE'Outcome :: Text -> Either String E'Outcome Source #

parse E'Outcome enum

E'Probability

data E'Probability Source #

Enum of Text . Required. The probability of harm for this content.

Constructors

E'Probability'HARM_PROBABILITY_UNSPECIFIED	HARM_PROBABILITY_UNSPECIFIED
E'Probability'NEGLIGIBLE	NEGLIGIBLE
E'Probability'LOW	LOW
E'Probability'MEDIUM	MEDIUM
E'Probability'HIGH	HIGH

Instances

Instances details

FromJSON E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Probability # parseJSONList :: Value -> Parser [E'Probability] # omittedField :: Maybe E'Probability #
ToJSON E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Probability -> Value # toEncoding :: E'Probability -> Encoding # toJSONList :: [E'Probability] -> Value # toEncodingList :: [E'Probability] -> Encoding # omitField :: E'Probability -> Bool #
Bounded E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Probability # maxBound :: E'Probability #
Enum E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Probability -> E'Probability # pred :: E'Probability -> E'Probability # toEnum :: Int -> E'Probability # fromEnum :: E'Probability -> Int # enumFrom :: E'Probability -> [E'Probability] # enumFromThen :: E'Probability -> E'Probability -> [E'Probability] # enumFromTo :: E'Probability -> E'Probability -> [E'Probability] # enumFromThenTo :: E'Probability -> E'Probability -> E'Probability -> [E'Probability] #
Show E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Probability -> ShowS # show :: E'Probability -> String # showList :: [E'Probability] -> ShowS #
Eq E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Probability -> E'Probability -> Bool # (/=) :: E'Probability -> E'Probability -> Bool #
Ord E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Probability -> E'Probability -> Ordering # (<) :: E'Probability -> E'Probability -> Bool # (<=) :: E'Probability -> E'Probability -> Bool # (>) :: E'Probability -> E'Probability -> Bool # (>=) :: E'Probability -> E'Probability -> Bool # max :: E'Probability -> E'Probability -> E'Probability # min :: E'Probability -> E'Probability -> E'Probability #
FromHttpApiData E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Probability # parseHeader :: ByteString -> Either Text E'Probability # parseQueryParam :: Text -> Either Text E'Probability #
ToHttpApiData E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Probability -> Text # toEncodedUrlPiece :: E'Probability -> Builder # toHeader :: E'Probability -> ByteString # toQueryParam :: E'Probability -> Text # toEncodedQueryParam :: E'Probability -> Builder #
MimeRender MimeMultipartFormData E'Probability Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Probability -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Probability -> ByteString Source #

fromE'Probability :: E'Probability -> Text Source #

unwrap E'Probability enum

toE'Probability :: Text -> Either String E'Probability Source #

parse E'Probability enum

E'Reason

data E'Reason Source #

Enum of Text . The reason content was blocked during request processing.

Constructors

E'Reason'BLOCKED_REASON_UNSPECIFIED	BLOCKED_REASON_UNSPECIFIED
E'Reason'SAFETY	SAFETY
E'Reason'OTHER	OTHER

Instances

Instances details

FromJSON E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Reason # parseJSONList :: Value -> Parser [E'Reason] # omittedField :: Maybe E'Reason #
ToJSON E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Reason -> Value # toEncoding :: E'Reason -> Encoding # toJSONList :: [E'Reason] -> Value # toEncodingList :: [E'Reason] -> Encoding # omitField :: E'Reason -> Bool #
Bounded E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Reason # maxBound :: E'Reason #
Enum E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Reason -> E'Reason # pred :: E'Reason -> E'Reason # toEnum :: Int -> E'Reason # fromEnum :: E'Reason -> Int # enumFrom :: E'Reason -> [E'Reason] # enumFromThen :: E'Reason -> E'Reason -> [E'Reason] # enumFromTo :: E'Reason -> E'Reason -> [E'Reason] # enumFromThenTo :: E'Reason -> E'Reason -> E'Reason -> [E'Reason] #
Show E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Reason -> ShowS # show :: E'Reason -> String # showList :: [E'Reason] -> ShowS #
Eq E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Reason -> E'Reason -> Bool # (/=) :: E'Reason -> E'Reason -> Bool #
Ord E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Reason -> E'Reason -> Ordering # (<) :: E'Reason -> E'Reason -> Bool # (<=) :: E'Reason -> E'Reason -> Bool # (>) :: E'Reason -> E'Reason -> Bool # (>=) :: E'Reason -> E'Reason -> Bool # max :: E'Reason -> E'Reason -> E'Reason # min :: E'Reason -> E'Reason -> E'Reason #
FromHttpApiData E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Reason # parseHeader :: ByteString -> Either Text E'Reason # parseQueryParam :: Text -> Either Text E'Reason #
ToHttpApiData E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Reason -> Text # toEncodedUrlPiece :: E'Reason -> Builder # toHeader :: E'Reason -> ByteString # toQueryParam :: E'Reason -> Text # toEncodedQueryParam :: E'Reason -> Builder #
MimeRender MimeMultipartFormData E'Reason Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Reason -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Reason -> ByteString Source #

fromE'Reason :: E'Reason -> Text Source #

unwrap E'Reason enum

toE'Reason :: Text -> Either String E'Reason Source #

parse E'Reason enum

E'ResponseModalities

data E'ResponseModalities Source #

Enum of Text

Constructors

E'ResponseModalities'MODALITY_UNSPECIFIED	MODALITY_UNSPECIFIED
E'ResponseModalities'TEXT	TEXT
E'ResponseModalities'IMAGE	IMAGE
E'ResponseModalities'AUDIO	AUDIO

Instances

Instances details

FromJSON E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'ResponseModalities # parseJSONList :: Value -> Parser [E'ResponseModalities] # omittedField :: Maybe E'ResponseModalities #
ToJSON E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'ResponseModalities -> Value # toEncoding :: E'ResponseModalities -> Encoding # toJSONList :: [E'ResponseModalities] -> Value # toEncodingList :: [E'ResponseModalities] -> Encoding # omitField :: E'ResponseModalities -> Bool #
Bounded E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'ResponseModalities # maxBound :: E'ResponseModalities #
Enum E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'ResponseModalities -> E'ResponseModalities # pred :: E'ResponseModalities -> E'ResponseModalities # toEnum :: Int -> E'ResponseModalities # fromEnum :: E'ResponseModalities -> Int # enumFrom :: E'ResponseModalities -> [E'ResponseModalities] # enumFromThen :: E'ResponseModalities -> E'ResponseModalities -> [E'ResponseModalities] # enumFromTo :: E'ResponseModalities -> E'ResponseModalities -> [E'ResponseModalities] # enumFromThenTo :: E'ResponseModalities -> E'ResponseModalities -> E'ResponseModalities -> [E'ResponseModalities] #
Show E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'ResponseModalities -> ShowS # show :: E'ResponseModalities -> String # showList :: [E'ResponseModalities] -> ShowS #
Eq E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'ResponseModalities -> E'ResponseModalities -> Bool # (/=) :: E'ResponseModalities -> E'ResponseModalities -> Bool #
Ord E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'ResponseModalities -> E'ResponseModalities -> Ordering # (<) :: E'ResponseModalities -> E'ResponseModalities -> Bool # (<=) :: E'ResponseModalities -> E'ResponseModalities -> Bool # (>) :: E'ResponseModalities -> E'ResponseModalities -> Bool # (>=) :: E'ResponseModalities -> E'ResponseModalities -> Bool # max :: E'ResponseModalities -> E'ResponseModalities -> E'ResponseModalities # min :: E'ResponseModalities -> E'ResponseModalities -> E'ResponseModalities #
FromHttpApiData E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'ResponseModalities # parseHeader :: ByteString -> Either Text E'ResponseModalities # parseQueryParam :: Text -> Either Text E'ResponseModalities #
ToHttpApiData E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'ResponseModalities -> Text # toEncodedUrlPiece :: E'ResponseModalities -> Builder # toHeader :: E'ResponseModalities -> ByteString # toQueryParam :: E'ResponseModalities -> Text # toEncodedQueryParam :: E'ResponseModalities -> Builder #
MimeRender MimeMultipartFormData E'ResponseModalities Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'ResponseModalities -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'ResponseModalities -> ByteString Source #

fromE'ResponseModalities :: E'ResponseModalities -> Text Source #

unwrap E'ResponseModalities enum

toE'ResponseModalities :: Text -> Either String E'ResponseModalities Source #

parse E'ResponseModalities enum

E'Role

data E'Role Source #

Enum of Text . Required. The role granted by this permission.

Constructors

E'Role'ROLE_UNSPECIFIED	ROLE_UNSPECIFIED
E'Role'OWNER	OWNER
E'Role'WRITER	WRITER
E'Role'READER	READER

Instances

Instances details

FromJSON E'Role Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Role # parseJSONList :: Value -> Parser [E'Role] # omittedField :: Maybe E'Role #
ToJSON E'Role Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Role -> Value # toEncoding :: E'Role -> Encoding # toJSONList :: [E'Role] -> Value # toEncodingList :: [E'Role] -> Encoding # omitField :: E'Role -> Bool #
Bounded E'Role Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Role # maxBound :: E'Role #
Enum E'Role Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Role -> E'Role # pred :: E'Role -> E'Role # toEnum :: Int -> E'Role # fromEnum :: E'Role -> Int # enumFrom :: E'Role -> [E'Role] # enumFromThen :: E'Role -> E'Role -> [E'Role] # enumFromTo :: E'Role -> E'Role -> [E'Role] # enumFromThenTo :: E'Role -> E'Role -> E'Role -> [E'Role] #
Show E'Role Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Role -> ShowS # show :: E'Role -> String # showList :: [E'Role] -> ShowS #
Eq E'Role Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Role -> E'Role -> Bool # (/=) :: E'Role -> E'Role -> Bool #
Ord E'Role Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Role -> E'Role -> Ordering # (<) :: E'Role -> E'Role -> Bool # (<=) :: E'Role -> E'Role -> Bool # (>) :: E'Role -> E'Role -> Bool # (>=) :: E'Role -> E'Role -> Bool # max :: E'Role -> E'Role -> E'Role # min :: E'Role -> E'Role -> E'Role #
FromHttpApiData E'Role Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Role # parseHeader :: ByteString -> Either Text E'Role # parseQueryParam :: Text -> Either Text E'Role #
ToHttpApiData E'Role Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Role -> Text # toEncodedUrlPiece :: E'Role -> Builder # toHeader :: E'Role -> ByteString # toQueryParam :: E'Role -> Text # toEncodedQueryParam :: E'Role -> Builder #
MimeRender MimeMultipartFormData E'Role Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Role -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Role -> ByteString Source #

fromE'Role :: E'Role -> Text Source #

unwrap E'Role enum

toE'Role :: Text -> Either String E'Role Source #

parse E'Role enum

E'Scheduling

data E'Scheduling Source #

Enum of Text . 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.

Constructors

E'Scheduling'SCHEDULING_UNSPECIFIED	SCHEDULING_UNSPECIFIED
E'Scheduling'SILENT	SILENT
E'Scheduling'WHEN_IDLE	WHEN_IDLE
E'Scheduling'INTERRUPT	INTERRUPT

Instances

Instances details

FromJSON E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Scheduling # parseJSONList :: Value -> Parser [E'Scheduling] # omittedField :: Maybe E'Scheduling #
ToJSON E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Scheduling -> Value # toEncoding :: E'Scheduling -> Encoding # toJSONList :: [E'Scheduling] -> Value # toEncodingList :: [E'Scheduling] -> Encoding # omitField :: E'Scheduling -> Bool #
Bounded E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Scheduling # maxBound :: E'Scheduling #
Enum E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Scheduling -> E'Scheduling # pred :: E'Scheduling -> E'Scheduling # toEnum :: Int -> E'Scheduling # fromEnum :: E'Scheduling -> Int # enumFrom :: E'Scheduling -> [E'Scheduling] # enumFromThen :: E'Scheduling -> E'Scheduling -> [E'Scheduling] # enumFromTo :: E'Scheduling -> E'Scheduling -> [E'Scheduling] # enumFromThenTo :: E'Scheduling -> E'Scheduling -> E'Scheduling -> [E'Scheduling] #
Show E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Scheduling -> ShowS # show :: E'Scheduling -> String # showList :: [E'Scheduling] -> ShowS #
Eq E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Scheduling -> E'Scheduling -> Bool # (/=) :: E'Scheduling -> E'Scheduling -> Bool #
Ord E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Scheduling -> E'Scheduling -> Ordering # (<) :: E'Scheduling -> E'Scheduling -> Bool # (<=) :: E'Scheduling -> E'Scheduling -> Bool # (>) :: E'Scheduling -> E'Scheduling -> Bool # (>=) :: E'Scheduling -> E'Scheduling -> Bool # max :: E'Scheduling -> E'Scheduling -> E'Scheduling # min :: E'Scheduling -> E'Scheduling -> E'Scheduling #
FromHttpApiData E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Scheduling # parseHeader :: ByteString -> Either Text E'Scheduling # parseQueryParam :: Text -> Either Text E'Scheduling #
ToHttpApiData E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Scheduling -> Text # toEncodedUrlPiece :: E'Scheduling -> Builder # toHeader :: E'Scheduling -> ByteString # toQueryParam :: E'Scheduling -> Text # toEncodedQueryParam :: E'Scheduling -> Builder #
MimeRender MimeMultipartFormData E'Scheduling Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Scheduling -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Scheduling -> ByteString Source #

fromE'Scheduling :: E'Scheduling -> Text Source #

unwrap E'Scheduling enum

toE'Scheduling :: Text -> Either String E'Scheduling Source #

parse E'Scheduling enum

E'Source

data E'Source Source #

Enum of Text . Source of the File.

Constructors

E'Source'SOURCE_UNSPECIFIED	SOURCE_UNSPECIFIED
E'Source'UPLOADED	UPLOADED
E'Source'GENERATED	GENERATED

Instances

Instances details

FromJSON E'Source Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Source # parseJSONList :: Value -> Parser [E'Source] # omittedField :: Maybe E'Source #
ToJSON E'Source Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Source -> Value # toEncoding :: E'Source -> Encoding # toJSONList :: [E'Source] -> Value # toEncodingList :: [E'Source] -> Encoding # omitField :: E'Source -> Bool #
Bounded E'Source Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Source # maxBound :: E'Source #
Enum E'Source Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Source -> E'Source # pred :: E'Source -> E'Source # toEnum :: Int -> E'Source # fromEnum :: E'Source -> Int # enumFrom :: E'Source -> [E'Source] # enumFromThen :: E'Source -> E'Source -> [E'Source] # enumFromTo :: E'Source -> E'Source -> [E'Source] # enumFromThenTo :: E'Source -> E'Source -> E'Source -> [E'Source] #
Show E'Source Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Source -> ShowS # show :: E'Source -> String # showList :: [E'Source] -> ShowS #
Eq E'Source Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Source -> E'Source -> Bool # (/=) :: E'Source -> E'Source -> Bool #
Ord E'Source Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Source -> E'Source -> Ordering # (<) :: E'Source -> E'Source -> Bool # (<=) :: E'Source -> E'Source -> Bool # (>) :: E'Source -> E'Source -> Bool # (>=) :: E'Source -> E'Source -> Bool # max :: E'Source -> E'Source -> E'Source # min :: E'Source -> E'Source -> E'Source #
FromHttpApiData E'Source Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Source # parseHeader :: ByteString -> Either Text E'Source # parseQueryParam :: Text -> Either Text E'Source #
ToHttpApiData E'Source Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Source -> Text # toEncodedUrlPiece :: E'Source -> Builder # toHeader :: E'Source -> ByteString # toQueryParam :: E'Source -> Text # toEncodedQueryParam :: E'Source -> Builder #
MimeRender MimeMultipartFormData E'Source Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Source -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Source -> ByteString Source #

fromE'Source :: E'Source -> Text Source #

unwrap E'Source enum

toE'Source :: Text -> Either String E'Source Source #

parse E'Source enum

E'State

data E'State Source #

Enum of Text . Output only. Processing state of the File.

Constructors

E'State'STATE_UNSPECIFIED	STATE_UNSPECIFIED
E'State'PROCESSING	PROCESSING
E'State'ACTIVE	ACTIVE
E'State'FAILED	FAILED

Instances

Instances details

FromJSON E'State Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'State # parseJSONList :: Value -> Parser [E'State] # omittedField :: Maybe E'State #
ToJSON E'State Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'State -> Value # toEncoding :: E'State -> Encoding # toJSONList :: [E'State] -> Value # toEncodingList :: [E'State] -> Encoding # omitField :: E'State -> Bool #
Bounded E'State Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'State # maxBound :: E'State #
Enum E'State Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'State -> E'State # pred :: E'State -> E'State # toEnum :: Int -> E'State # fromEnum :: E'State -> Int # enumFrom :: E'State -> [E'State] # enumFromThen :: E'State -> E'State -> [E'State] # enumFromTo :: E'State -> E'State -> [E'State] # enumFromThenTo :: E'State -> E'State -> E'State -> [E'State] #
Show E'State Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'State -> ShowS # show :: E'State -> String # showList :: [E'State] -> ShowS #
Eq E'State Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'State -> E'State -> Bool # (/=) :: E'State -> E'State -> Bool #
Ord E'State Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'State -> E'State -> Ordering # (<) :: E'State -> E'State -> Bool # (<=) :: E'State -> E'State -> Bool # (>) :: E'State -> E'State -> Bool # (>=) :: E'State -> E'State -> Bool # max :: E'State -> E'State -> E'State # min :: E'State -> E'State -> E'State #
FromHttpApiData E'State Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'State # parseHeader :: ByteString -> Either Text E'State # parseQueryParam :: Text -> Either Text E'State #
ToHttpApiData E'State Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'State -> Text # toEncodedUrlPiece :: E'State -> Builder # toHeader :: E'State -> ByteString # toQueryParam :: E'State -> Text # toEncodedQueryParam :: E'State -> Builder #
MimeRender MimeMultipartFormData E'State Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'State -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'State -> ByteString Source #

fromE'State :: E'State -> Text Source #

unwrap E'State enum

toE'State :: Text -> Either String E'State Source #

parse E'State enum

E'State2

data E'State2 Source #

Enum of Text . Output only. The state of the GeneratedFile.

Constructors

E'State2'STATE_UNSPECIFIED	STATE_UNSPECIFIED
E'State2'GENERATING	GENERATING
E'State2'GENERATED	GENERATED
E'State2'FAILED	FAILED

Instances

Instances details

FromJSON E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'State2 # parseJSONList :: Value -> Parser [E'State2] # omittedField :: Maybe E'State2 #
ToJSON E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'State2 -> Value # toEncoding :: E'State2 -> Encoding # toJSONList :: [E'State2] -> Value # toEncodingList :: [E'State2] -> Encoding # omitField :: E'State2 -> Bool #
Bounded E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'State2 # maxBound :: E'State2 #
Enum E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'State2 -> E'State2 # pred :: E'State2 -> E'State2 # toEnum :: Int -> E'State2 # fromEnum :: E'State2 -> Int # enumFrom :: E'State2 -> [E'State2] # enumFromThen :: E'State2 -> E'State2 -> [E'State2] # enumFromTo :: E'State2 -> E'State2 -> [E'State2] # enumFromThenTo :: E'State2 -> E'State2 -> E'State2 -> [E'State2] #
Show E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'State2 -> ShowS # show :: E'State2 -> String # showList :: [E'State2] -> ShowS #
Eq E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'State2 -> E'State2 -> Bool # (/=) :: E'State2 -> E'State2 -> Bool #
Ord E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'State2 -> E'State2 -> Ordering # (<) :: E'State2 -> E'State2 -> Bool # (<=) :: E'State2 -> E'State2 -> Bool # (>) :: E'State2 -> E'State2 -> Bool # (>=) :: E'State2 -> E'State2 -> Bool # max :: E'State2 -> E'State2 -> E'State2 # min :: E'State2 -> E'State2 -> E'State2 #
FromHttpApiData E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'State2 # parseHeader :: ByteString -> Either Text E'State2 # parseQueryParam :: Text -> Either Text E'State2 #
ToHttpApiData E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'State2 -> Text # toEncodedUrlPiece :: E'State2 -> Builder # toHeader :: E'State2 -> ByteString # toQueryParam :: E'State2 -> Text # toEncodedQueryParam :: E'State2 -> Builder #
MimeRender MimeMultipartFormData E'State2 Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'State2 -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'State2 -> ByteString Source #

fromE'State2 :: E'State2 -> Text Source #

unwrap E'State2 enum

toE'State2 :: Text -> Either String E'State2 Source #

parse E'State2 enum

E'State3

data E'State3 Source #

Enum of Text . Output only. The state of the tuned model.

Constructors

E'State3'STATE_UNSPECIFIED	STATE_UNSPECIFIED
E'State3'CREATING	CREATING
E'State3'ACTIVE	ACTIVE
E'State3'FAILED	FAILED

Instances

Instances details

FromJSON E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'State3 # parseJSONList :: Value -> Parser [E'State3] # omittedField :: Maybe E'State3 #
ToJSON E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'State3 -> Value # toEncoding :: E'State3 -> Encoding # toJSONList :: [E'State3] -> Value # toEncodingList :: [E'State3] -> Encoding # omitField :: E'State3 -> Bool #
Bounded E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'State3 # maxBound :: E'State3 #
Enum E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'State3 -> E'State3 # pred :: E'State3 -> E'State3 # toEnum :: Int -> E'State3 # fromEnum :: E'State3 -> Int # enumFrom :: E'State3 -> [E'State3] # enumFromThen :: E'State3 -> E'State3 -> [E'State3] # enumFromTo :: E'State3 -> E'State3 -> [E'State3] # enumFromThenTo :: E'State3 -> E'State3 -> E'State3 -> [E'State3] #
Show E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'State3 -> ShowS # show :: E'State3 -> String # showList :: [E'State3] -> ShowS #
Eq E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'State3 -> E'State3 -> Bool # (/=) :: E'State3 -> E'State3 -> Bool #
Ord E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'State3 -> E'State3 -> Ordering # (<) :: E'State3 -> E'State3 -> Bool # (<=) :: E'State3 -> E'State3 -> Bool # (>) :: E'State3 -> E'State3 -> Bool # (>=) :: E'State3 -> E'State3 -> Bool # max :: E'State3 -> E'State3 -> E'State3 # min :: E'State3 -> E'State3 -> E'State3 #
FromHttpApiData E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'State3 # parseHeader :: ByteString -> Either Text E'State3 # parseQueryParam :: Text -> Either Text E'State3 #
ToHttpApiData E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'State3 -> Text # toEncodedUrlPiece :: E'State3 -> Builder # toHeader :: E'State3 -> ByteString # toQueryParam :: E'State3 -> Text # toEncodedQueryParam :: E'State3 -> Builder #
MimeRender MimeMultipartFormData E'State3 Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'State3 -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'State3 -> ByteString Source #

fromE'State3 :: E'State3 -> Text Source #

unwrap E'State3 enum

toE'State3 :: Text -> Either String E'State3 Source #

parse E'State3 enum

E'State4

data E'State4 Source #

Enum of Text . Output only. Current state of the Chunk.

Constructors

E'State4'UNSPECIFIED	STATE_UNSPECIFIED
E'State4'PENDING_PROCESSING	STATE_PENDING_PROCESSING
E'State4'ACTIVE	STATE_ACTIVE
E'State4'FAILED	STATE_FAILED

Instances

Instances details

FromJSON E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'State4 # parseJSONList :: Value -> Parser [E'State4] # omittedField :: Maybe E'State4 #
ToJSON E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'State4 -> Value # toEncoding :: E'State4 -> Encoding # toJSONList :: [E'State4] -> Value # toEncodingList :: [E'State4] -> Encoding # omitField :: E'State4 -> Bool #
Bounded E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'State4 # maxBound :: E'State4 #
Enum E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'State4 -> E'State4 # pred :: E'State4 -> E'State4 # toEnum :: Int -> E'State4 # fromEnum :: E'State4 -> Int # enumFrom :: E'State4 -> [E'State4] # enumFromThen :: E'State4 -> E'State4 -> [E'State4] # enumFromTo :: E'State4 -> E'State4 -> [E'State4] # enumFromThenTo :: E'State4 -> E'State4 -> E'State4 -> [E'State4] #
Show E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'State4 -> ShowS # show :: E'State4 -> String # showList :: [E'State4] -> ShowS #
Eq E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'State4 -> E'State4 -> Bool # (/=) :: E'State4 -> E'State4 -> Bool #
Ord E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'State4 -> E'State4 -> Ordering # (<) :: E'State4 -> E'State4 -> Bool # (<=) :: E'State4 -> E'State4 -> Bool # (>) :: E'State4 -> E'State4 -> Bool # (>=) :: E'State4 -> E'State4 -> Bool # max :: E'State4 -> E'State4 -> E'State4 # min :: E'State4 -> E'State4 -> E'State4 #
FromHttpApiData E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'State4 # parseHeader :: ByteString -> Either Text E'State4 # parseQueryParam :: Text -> Either Text E'State4 #
ToHttpApiData E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'State4 -> Text # toEncodedUrlPiece :: E'State4 -> Builder # toHeader :: E'State4 -> ByteString # toQueryParam :: E'State4 -> Text # toEncodedQueryParam :: E'State4 -> Builder #
MimeRender MimeMultipartFormData E'State4 Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'State4 -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'State4 -> ByteString Source #

fromE'State4 :: E'State4 -> Text Source #

unwrap E'State4 enum

toE'State4 :: Text -> Either String E'State4 Source #

parse E'State4 enum

E'Threshold

data E'Threshold Source #

Enum of Text . Required. Controls the probability threshold at which harm is blocked.

Constructors

E'Threshold'HARM_BLOCK_THRESHOLD_UNSPECIFIED	HARM_BLOCK_THRESHOLD_UNSPECIFIED
E'Threshold'BLOCK_LOW_AND_ABOVE	BLOCK_LOW_AND_ABOVE
E'Threshold'BLOCK_MEDIUM_AND_ABOVE	BLOCK_MEDIUM_AND_ABOVE
E'Threshold'BLOCK_ONLY_HIGH	BLOCK_ONLY_HIGH
E'Threshold'BLOCK_NONE	BLOCK_NONE
E'Threshold'OFF	OFF

Instances

Instances details

FromJSON E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Threshold # parseJSONList :: Value -> Parser [E'Threshold] # omittedField :: Maybe E'Threshold #
ToJSON E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Threshold -> Value # toEncoding :: E'Threshold -> Encoding # toJSONList :: [E'Threshold] -> Value # toEncodingList :: [E'Threshold] -> Encoding # omitField :: E'Threshold -> Bool #
Bounded E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Threshold # maxBound :: E'Threshold #
Enum E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Threshold -> E'Threshold # pred :: E'Threshold -> E'Threshold # toEnum :: Int -> E'Threshold # fromEnum :: E'Threshold -> Int # enumFrom :: E'Threshold -> [E'Threshold] # enumFromThen :: E'Threshold -> E'Threshold -> [E'Threshold] # enumFromTo :: E'Threshold -> E'Threshold -> [E'Threshold] # enumFromThenTo :: E'Threshold -> E'Threshold -> E'Threshold -> [E'Threshold] #
Show E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Threshold -> ShowS # show :: E'Threshold -> String # showList :: [E'Threshold] -> ShowS #
Eq E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Threshold -> E'Threshold -> Bool # (/=) :: E'Threshold -> E'Threshold -> Bool #
Ord E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Threshold -> E'Threshold -> Ordering # (<) :: E'Threshold -> E'Threshold -> Bool # (<=) :: E'Threshold -> E'Threshold -> Bool # (>) :: E'Threshold -> E'Threshold -> Bool # (>=) :: E'Threshold -> E'Threshold -> Bool # max :: E'Threshold -> E'Threshold -> E'Threshold # min :: E'Threshold -> E'Threshold -> E'Threshold #
FromHttpApiData E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Threshold # parseHeader :: ByteString -> Either Text E'Threshold # parseQueryParam :: Text -> Either Text E'Threshold #
ToHttpApiData E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Threshold -> Text # toEncodedUrlPiece :: E'Threshold -> Builder # toHeader :: E'Threshold -> ByteString # toQueryParam :: E'Threshold -> Text # toEncodedQueryParam :: E'Threshold -> Builder #
MimeRender MimeMultipartFormData E'Threshold Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Threshold -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Threshold -> ByteString Source #

fromE'Threshold :: E'Threshold -> Text Source #

unwrap E'Threshold enum

toE'Threshold :: Text -> Either String E'Threshold Source #

parse E'Threshold enum

E'UrlRetrievalStatus

data E'UrlRetrievalStatus Source #

Enum of Text . Status of the url retrieval.

Constructors

E'UrlRetrievalStatus'UNSPECIFIED	URL_RETRIEVAL_STATUS_UNSPECIFIED
E'UrlRetrievalStatus'SUCCESS	URL_RETRIEVAL_STATUS_SUCCESS
E'UrlRetrievalStatus'ERROR	URL_RETRIEVAL_STATUS_ERROR

Instances

Instances details

FromJSON E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'UrlRetrievalStatus # parseJSONList :: Value -> Parser [E'UrlRetrievalStatus] # omittedField :: Maybe E'UrlRetrievalStatus #
ToJSON E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'UrlRetrievalStatus -> Value # toEncoding :: E'UrlRetrievalStatus -> Encoding # toJSONList :: [E'UrlRetrievalStatus] -> Value # toEncodingList :: [E'UrlRetrievalStatus] -> Encoding # omitField :: E'UrlRetrievalStatus -> Bool #
Bounded E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'UrlRetrievalStatus # maxBound :: E'UrlRetrievalStatus #
Enum E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus # pred :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus # toEnum :: Int -> E'UrlRetrievalStatus # fromEnum :: E'UrlRetrievalStatus -> Int # enumFrom :: E'UrlRetrievalStatus -> [E'UrlRetrievalStatus] # enumFromThen :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> [E'UrlRetrievalStatus] # enumFromTo :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> [E'UrlRetrievalStatus] # enumFromThenTo :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> [E'UrlRetrievalStatus] #
Show E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'UrlRetrievalStatus -> ShowS # show :: E'UrlRetrievalStatus -> String # showList :: [E'UrlRetrievalStatus] -> ShowS #
Eq E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Bool # (/=) :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Bool #
Ord E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Ordering # (<) :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Bool # (<=) :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Bool # (>) :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Bool # (>=) :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> Bool # max :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> E'UrlRetrievalStatus # min :: E'UrlRetrievalStatus -> E'UrlRetrievalStatus -> E'UrlRetrievalStatus #
FromHttpApiData E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'UrlRetrievalStatus # parseHeader :: ByteString -> Either Text E'UrlRetrievalStatus # parseQueryParam :: Text -> Either Text E'UrlRetrievalStatus #
ToHttpApiData E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'UrlRetrievalStatus -> Text # toEncodedUrlPiece :: E'UrlRetrievalStatus -> Builder # toHeader :: E'UrlRetrievalStatus -> ByteString # toQueryParam :: E'UrlRetrievalStatus -> Text # toEncodedQueryParam :: E'UrlRetrievalStatus -> Builder #
MimeRender MimeMultipartFormData E'UrlRetrievalStatus Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'UrlRetrievalStatus -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'UrlRetrievalStatus -> ByteString Source #

fromE'UrlRetrievalStatus :: E'UrlRetrievalStatus -> Text Source #

unwrap E'UrlRetrievalStatus enum

toE'UrlRetrievalStatus :: Text -> Either String E'UrlRetrievalStatus Source #

parse E'UrlRetrievalStatus enum

E'Xgafv

data E'Xgafv Source #

Enum of Text

Constructors

E'Xgafv'1	"1"
E'Xgafv'2	"2"

Instances

Instances details

FromJSON E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser E'Xgafv # parseJSONList :: Value -> Parser [E'Xgafv] # omittedField :: Maybe E'Xgafv #
ToJSON E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: E'Xgafv -> Value # toEncoding :: E'Xgafv -> Encoding # toJSONList :: [E'Xgafv] -> Value # toEncodingList :: [E'Xgafv] -> Encoding # omitField :: E'Xgafv -> Bool #
Bounded E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: E'Xgafv # maxBound :: E'Xgafv #
Enum E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods succ :: E'Xgafv -> E'Xgafv # pred :: E'Xgafv -> E'Xgafv # toEnum :: Int -> E'Xgafv # fromEnum :: E'Xgafv -> Int # enumFrom :: E'Xgafv -> [E'Xgafv] # enumFromThen :: E'Xgafv -> E'Xgafv -> [E'Xgafv] # enumFromTo :: E'Xgafv -> E'Xgafv -> [E'Xgafv] # enumFromThenTo :: E'Xgafv -> E'Xgafv -> E'Xgafv -> [E'Xgafv] #
Show E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> E'Xgafv -> ShowS # show :: E'Xgafv -> String # showList :: [E'Xgafv] -> ShowS #
Eq E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: E'Xgafv -> E'Xgafv -> Bool # (/=) :: E'Xgafv -> E'Xgafv -> Bool #
Ord E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods compare :: E'Xgafv -> E'Xgafv -> Ordering # (<) :: E'Xgafv -> E'Xgafv -> Bool # (<=) :: E'Xgafv -> E'Xgafv -> Bool # (>) :: E'Xgafv -> E'Xgafv -> Bool # (>=) :: E'Xgafv -> E'Xgafv -> Bool # max :: E'Xgafv -> E'Xgafv -> E'Xgafv # min :: E'Xgafv -> E'Xgafv -> E'Xgafv #
FromHttpApiData E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text E'Xgafv # parseHeader :: ByteString -> Either Text E'Xgafv # parseQueryParam :: Text -> Either Text E'Xgafv #
ToHttpApiData E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: E'Xgafv -> Text # toEncodedUrlPiece :: E'Xgafv -> Builder # toHeader :: E'Xgafv -> ByteString # toQueryParam :: E'Xgafv -> Text # toEncodedQueryParam :: E'Xgafv -> Builder #
MimeRender MimeMultipartFormData E'Xgafv Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> E'Xgafv -> ByteString Source # mimeRender' :: MimeMultipartFormData -> E'Xgafv -> ByteString Source #

fromE'Xgafv :: E'Xgafv -> Text Source #

unwrap E'Xgafv enum

toE'Xgafv :: Text -> Either String E'Xgafv Source #

parse E'Xgafv enum

HarmCategory

data HarmCategory Source #

Enum of Text

Instances

Instances details

FromJSON HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser HarmCategory # parseJSONList :: Value -> Parser [HarmCategory] # omittedField :: Maybe HarmCategory #
ToJSON HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: HarmCategory -> Value # toEncoding :: HarmCategory -> Encoding # toJSONList :: [HarmCategory] -> Value # toEncodingList :: [HarmCategory] -> Encoding # omitField :: HarmCategory -> Bool #
Bounded HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: HarmCategory # maxBound :: HarmCategory #
Enum HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods succ :: HarmCategory -> HarmCategory # pred :: HarmCategory -> HarmCategory # toEnum :: Int -> HarmCategory # fromEnum :: HarmCategory -> Int # enumFrom :: HarmCategory -> [HarmCategory] # enumFromThen :: HarmCategory -> HarmCategory -> [HarmCategory] # enumFromTo :: HarmCategory -> HarmCategory -> [HarmCategory] # enumFromThenTo :: HarmCategory -> HarmCategory -> HarmCategory -> [HarmCategory] #
Show HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> HarmCategory -> ShowS # show :: HarmCategory -> String # showList :: [HarmCategory] -> ShowS #
Eq HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: HarmCategory -> HarmCategory -> Bool # (/=) :: HarmCategory -> HarmCategory -> Bool #
Ord HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods compare :: HarmCategory -> HarmCategory -> Ordering # (<) :: HarmCategory -> HarmCategory -> Bool # (<=) :: HarmCategory -> HarmCategory -> Bool # (>) :: HarmCategory -> HarmCategory -> Bool # (>=) :: HarmCategory -> HarmCategory -> Bool # max :: HarmCategory -> HarmCategory -> HarmCategory # min :: HarmCategory -> HarmCategory -> HarmCategory #
FromHttpApiData HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text HarmCategory # parseHeader :: ByteString -> Either Text HarmCategory # parseQueryParam :: Text -> Either Text HarmCategory #
ToHttpApiData HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: HarmCategory -> Text # toEncodedUrlPiece :: HarmCategory -> Builder # toHeader :: HarmCategory -> ByteString # toQueryParam :: HarmCategory -> Text # toEncodedQueryParam :: HarmCategory -> Builder #
MimeRender MimeMultipartFormData HarmCategory Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> HarmCategory -> ByteString Source # mimeRender' :: MimeMultipartFormData -> HarmCategory -> ByteString Source #

fromHarmCategory :: HarmCategory -> Text Source #

unwrap HarmCategory enum

toHarmCategory :: Text -> Either String HarmCategory Source #

parse HarmCategory enum

Modality

data Modality Source #

Enum of Text

Constructors

Modality'MODALITY_UNSPECIFIED	MODALITY_UNSPECIFIED
Modality'TEXT	TEXT
Modality'IMAGE	IMAGE
Modality'VIDEO	VIDEO
Modality'AUDIO	AUDIO
Modality'DOCUMENT	DOCUMENT

Instances

Instances details

FromJSON Modality Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser Modality # parseJSONList :: Value -> Parser [Modality] # omittedField :: Maybe Modality #
ToJSON Modality Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: Modality -> Value # toEncoding :: Modality -> Encoding # toJSONList :: [Modality] -> Value # toEncodingList :: [Modality] -> Encoding # omitField :: Modality -> Bool #
Bounded Modality Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: Modality # maxBound :: Modality #
Enum Modality Source #
Instance details Defined in GenAI.Client.Model Methods succ :: Modality -> Modality # pred :: Modality -> Modality # toEnum :: Int -> Modality # fromEnum :: Modality -> Int # enumFrom :: Modality -> [Modality] # enumFromThen :: Modality -> Modality -> [Modality] # enumFromTo :: Modality -> Modality -> [Modality] # enumFromThenTo :: Modality -> Modality -> Modality -> [Modality] #
Show Modality Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> Modality -> ShowS # show :: Modality -> String # showList :: [Modality] -> ShowS #
Eq Modality Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: Modality -> Modality -> Bool # (/=) :: Modality -> Modality -> Bool #
Ord Modality Source #
Instance details Defined in GenAI.Client.Model Methods compare :: Modality -> Modality -> Ordering # (<) :: Modality -> Modality -> Bool # (<=) :: Modality -> Modality -> Bool # (>) :: Modality -> Modality -> Bool # (>=) :: Modality -> Modality -> Bool # max :: Modality -> Modality -> Modality # min :: Modality -> Modality -> Modality #
FromHttpApiData Modality Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text Modality # parseHeader :: ByteString -> Either Text Modality # parseQueryParam :: Text -> Either Text Modality #
ToHttpApiData Modality Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: Modality -> Text # toEncodedUrlPiece :: Modality -> Builder # toHeader :: Modality -> ByteString # toQueryParam :: Modality -> Text # toEncodedQueryParam :: Modality -> Builder #
MimeRender MimeMultipartFormData Modality Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> Modality -> ByteString Source # mimeRender' :: MimeMultipartFormData -> Modality -> ByteString Source #

fromModality :: Modality -> Text Source #

unwrap Modality enum

toModality :: Text -> Either String Modality Source #

parse Modality enum

ModelType

data ModelType Source #

Enum of Text

Constructors

ModelType'TYPE_UNSPECIFIED	TYPE_UNSPECIFIED
ModelType'STRING	STRING
ModelType'NUMBER	NUMBER
ModelType'INTEGER	INTEGER
ModelType'BOOLEAN	BOOLEAN
ModelType'ARRAY	ARRAY
ModelType'OBJECT	OBJECT
ModelType'NULL	NULL

Instances

Instances details

FromJSON ModelType Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser ModelType # parseJSONList :: Value -> Parser [ModelType] # omittedField :: Maybe ModelType #
ToJSON ModelType Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: ModelType -> Value # toEncoding :: ModelType -> Encoding # toJSONList :: [ModelType] -> Value # toEncodingList :: [ModelType] -> Encoding # omitField :: ModelType -> Bool #
Bounded ModelType Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: ModelType # maxBound :: ModelType #
Enum ModelType Source #
Instance details Defined in GenAI.Client.Model Methods succ :: ModelType -> ModelType # pred :: ModelType -> ModelType # toEnum :: Int -> ModelType # fromEnum :: ModelType -> Int # enumFrom :: ModelType -> [ModelType] # enumFromThen :: ModelType -> ModelType -> [ModelType] # enumFromTo :: ModelType -> ModelType -> [ModelType] # enumFromThenTo :: ModelType -> ModelType -> ModelType -> [ModelType] #
Show ModelType Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> ModelType -> ShowS # show :: ModelType -> String # showList :: [ModelType] -> ShowS #
Eq ModelType Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: ModelType -> ModelType -> Bool # (/=) :: ModelType -> ModelType -> Bool #
Ord ModelType Source #
Instance details Defined in GenAI.Client.Model Methods compare :: ModelType -> ModelType -> Ordering # (<) :: ModelType -> ModelType -> Bool # (<=) :: ModelType -> ModelType -> Bool # (>) :: ModelType -> ModelType -> Bool # (>=) :: ModelType -> ModelType -> Bool # max :: ModelType -> ModelType -> ModelType # min :: ModelType -> ModelType -> ModelType #
FromHttpApiData ModelType Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text ModelType # parseHeader :: ByteString -> Either Text ModelType # parseQueryParam :: Text -> Either Text ModelType #
ToHttpApiData ModelType Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: ModelType -> Text # toEncodedUrlPiece :: ModelType -> Builder # toHeader :: ModelType -> ByteString # toQueryParam :: ModelType -> Text # toEncodedQueryParam :: ModelType -> Builder #
MimeRender MimeMultipartFormData ModelType Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> ModelType -> ByteString Source # mimeRender' :: MimeMultipartFormData -> ModelType -> ByteString Source #

fromModelType :: ModelType -> Text Source #

unwrap ModelType enum

toModelType :: Text -> Either String ModelType Source #

parse ModelType enum

TaskType

data TaskType Source #

Enum of Text

Constructors

TaskType'TASK_TYPE_UNSPECIFIED	TASK_TYPE_UNSPECIFIED
TaskType'RETRIEVAL_QUERY	RETRIEVAL_QUERY
TaskType'RETRIEVAL_DOCUMENT	RETRIEVAL_DOCUMENT
TaskType'SEMANTIC_SIMILARITY	SEMANTIC_SIMILARITY
TaskType'CLASSIFICATION	CLASSIFICATION
TaskType'CLUSTERING	CLUSTERING
TaskType'QUESTION_ANSWERING	QUESTION_ANSWERING
TaskType'FACT_VERIFICATION	FACT_VERIFICATION
TaskType'CODE_RETRIEVAL_QUERY	CODE_RETRIEVAL_QUERY

Instances

Instances details

FromJSON TaskType Source #
Instance details Defined in GenAI.Client.Model Methods parseJSON :: Value -> Parser TaskType # parseJSONList :: Value -> Parser [TaskType] # omittedField :: Maybe TaskType #
ToJSON TaskType Source #
Instance details Defined in GenAI.Client.Model Methods toJSON :: TaskType -> Value # toEncoding :: TaskType -> Encoding # toJSONList :: [TaskType] -> Value # toEncodingList :: [TaskType] -> Encoding # omitField :: TaskType -> Bool #
Bounded TaskType Source #
Instance details Defined in GenAI.Client.Model Methods minBound :: TaskType # maxBound :: TaskType #
Enum TaskType Source #
Instance details Defined in GenAI.Client.Model Methods succ :: TaskType -> TaskType # pred :: TaskType -> TaskType # toEnum :: Int -> TaskType # fromEnum :: TaskType -> Int # enumFrom :: TaskType -> [TaskType] # enumFromThen :: TaskType -> TaskType -> [TaskType] # enumFromTo :: TaskType -> TaskType -> [TaskType] # enumFromThenTo :: TaskType -> TaskType -> TaskType -> [TaskType] #
Show TaskType Source #
Instance details Defined in GenAI.Client.Model Methods showsPrec :: Int -> TaskType -> ShowS # show :: TaskType -> String # showList :: [TaskType] -> ShowS #
Eq TaskType Source #
Instance details Defined in GenAI.Client.Model Methods (==) :: TaskType -> TaskType -> Bool # (/=) :: TaskType -> TaskType -> Bool #
Ord TaskType Source #
Instance details Defined in GenAI.Client.Model Methods compare :: TaskType -> TaskType -> Ordering # (<) :: TaskType -> TaskType -> Bool # (<=) :: TaskType -> TaskType -> Bool # (>) :: TaskType -> TaskType -> Bool # (>=) :: TaskType -> TaskType -> Bool # max :: TaskType -> TaskType -> TaskType # min :: TaskType -> TaskType -> TaskType #
FromHttpApiData TaskType Source #
Instance details Defined in GenAI.Client.Model Methods parseUrlPiece :: Text -> Either Text TaskType # parseHeader :: ByteString -> Either Text TaskType # parseQueryParam :: Text -> Either Text TaskType #
ToHttpApiData TaskType Source #
Instance details Defined in GenAI.Client.Model Methods toUrlPiece :: TaskType -> Text # toEncodedUrlPiece :: TaskType -> Builder # toHeader :: TaskType -> ByteString # toQueryParam :: TaskType -> Text # toEncodedQueryParam :: TaskType -> Builder #
MimeRender MimeMultipartFormData TaskType Source #
Instance details Defined in GenAI.Client.Model Methods mimeRender :: Proxy MimeMultipartFormData -> TaskType -> ByteString Source # mimeRender' :: MimeMultipartFormData -> TaskType -> ByteString Source #

fromTaskType :: TaskType -> Text Source #

unwrap TaskType enum

toTaskType :: Text -> Either String TaskType Source #

parse TaskType enum

E'FinishReason'FINISH_REASON_UNSPECIFIED	FINISH_REASON_UNSPECIFIED
E'FinishReason'STOP	STOP
E'FinishReason'MAX_TOKENS	MAX_TOKENS
E'FinishReason'SAFETY	SAFETY
E'FinishReason'RECITATION	RECITATION
E'FinishReason'LANGUAGE	LANGUAGE
E'FinishReason'OTHER	OTHER
E'FinishReason'BLOCKLIST	BLOCKLIST
E'FinishReason'PROHIBITED_CONTENT	PROHIBITED_CONTENT
E'FinishReason'SPII	SPII
E'FinishReason'MALFORMED_FUNCTION_CALL	MALFORMED_FUNCTION_CALL
E'FinishReason'IMAGE_SAFETY	IMAGE_SAFETY

HarmCategory'UNSPECIFIED	HARM_CATEGORY_UNSPECIFIED
HarmCategory'DEROGATORY	HARM_CATEGORY_DEROGATORY
HarmCategory'TOXICITY	HARM_CATEGORY_TOXICITY
HarmCategory'VIOLENCE	HARM_CATEGORY_VIOLENCE
HarmCategory'SEXUAL	HARM_CATEGORY_SEXUAL
HarmCategory'MEDICAL	HARM_CATEGORY_MEDICAL
HarmCategory'DANGEROUS	HARM_CATEGORY_DANGEROUS
HarmCategory'HARASSMENT	HARM_CATEGORY_HARASSMENT
HarmCategory'HATE_SPEECH	HARM_CATEGORY_HATE_SPEECH
HarmCategory'SEXUALLY_EXPLICIT	HARM_CATEGORY_SEXUALLY_EXPLICIT
HarmCategory'DANGEROUS_CONTENT	HARM_CATEGORY_DANGEROUS_CONTENT
HarmCategory'CIVIC_INTEGRITY	HARM_CATEGORY_CIVIC_INTEGRITY