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H

handle() - function in com.google.genai.types.SessionResumptionConfig
Session resumption handle of previous session (session to restore).
handle(java.lang.String) - function in com.google.genai.types.SessionResumptionConfig.Builder
Setter for handle.
HARM_BLOCK_METHOD_UNSPECIFIED - enum entry in com.google.genai.types.HarmBlockMethod.Known

The harm block method is unspecified.

HARM_BLOCK_THRESHOLD_UNSPECIFIED - enum entry in com.google.genai.types.HarmBlockThreshold.Known

The harm block threshold is unspecified.

HARM_CATEGORY_CIVIC_INTEGRITY - enum entry in com.google.genai.types.HarmCategory.Known

Deprecated: Election filter is not longer supported. The harm category is civic integrity.

HARM_CATEGORY_DANGEROUS_CONTENT - enum entry in com.google.genai.types.HarmCategory.Known

Content that promotes, facilitates, or enables dangerous activities.

HARM_CATEGORY_HARASSMENT - enum entry in com.google.genai.types.HarmCategory.Known

Abusive, threatening, or content intended to bully, torment, or ridicule.

HARM_CATEGORY_HATE_SPEECH - enum entry in com.google.genai.types.HarmCategory.Known

Content that promotes violence or incites hatred against individuals or groups based on certain attributes.

HARM_CATEGORY_IMAGE_DANGEROUS_CONTENT - enum entry in com.google.genai.types.HarmCategory.Known

Images that contain dangerous content. This enum value is not supported in Gemini API.

HARM_CATEGORY_IMAGE_HARASSMENT - enum entry in com.google.genai.types.HarmCategory.Known

Images that contain harassment. This enum value is not supported in Gemini API.

HARM_CATEGORY_IMAGE_HATE - enum entry in com.google.genai.types.HarmCategory.Known

Images that contain hate speech. This enum value is not supported in Gemini API.

HARM_CATEGORY_IMAGE_SEXUALLY_EXPLICIT - enum entry in com.google.genai.types.HarmCategory.Known

Images that contain sexually explicit content. This enum value is not supported in Gemini API.

HARM_CATEGORY_JAILBREAK - enum entry in com.google.genai.types.HarmCategory.Known

Prompts designed to bypass safety filters. This enum value is not supported in Gemini API.

HARM_CATEGORY_SEXUALLY_EXPLICIT - enum entry in com.google.genai.types.HarmCategory.Known

Content that contains sexually explicit material.

HARM_CATEGORY_UNSPECIFIED - enum entry in com.google.genai.types.HarmCategory.Known

Default value. This value is unused.

HARM_PROBABILITY_UNSPECIFIED - enum entry in com.google.genai.types.HarmProbability.Known

The harm probability is unspecified.

HARM_SEVERITY_HIGH - enum entry in com.google.genai.types.HarmSeverity.Known

The harm severity is high.

HARM_SEVERITY_LOW - enum entry in com.google.genai.types.HarmSeverity.Known

The harm severity is low.

HARM_SEVERITY_MEDIUM - enum entry in com.google.genai.types.HarmSeverity.Known

The harm severity is medium.

HARM_SEVERITY_NEGLIGIBLE - enum entry in com.google.genai.types.HarmSeverity.Known

The harm severity is negligible.

HARM_SEVERITY_UNSPECIFIED - enum entry in com.google.genai.types.HarmSeverity.Known

The harm severity is unspecified.

HarmBlockMethod - class in com.google.genai.types
The method for blocking content.
HarmBlockMethod.Known - class in com.google.genai.types.HarmBlockMethod
Enum representing the known values for HarmBlockMethod.
HarmBlockThreshold - class in com.google.genai.types
The threshold for blocking content.
HarmBlockThreshold.Known - class in com.google.genai.types.HarmBlockThreshold
Enum representing the known values for HarmBlockThreshold.
HarmCategory - class in com.google.genai.types
The harm category to be blocked.
HarmCategory.Known - class in com.google.genai.types.HarmCategory
Enum representing the known values for HarmCategory.
HarmProbability - class in com.google.genai.types
Output only.
HarmProbability.Known - class in com.google.genai.types.HarmProbability
Enum representing the known values for HarmProbability.
HarmSeverity - class in com.google.genai.types
Output only.
HarmSeverity.Known - class in com.google.genai.types.HarmSeverity
Enum representing the known values for HarmSeverity.
hasAddDummyPrefix() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
Adds dummy whitespace at the beginning of text in order to
treat "world" in "world" and "hello world" in the same way.
optional bool add_dummy_prefix = 3 [default = true];
hasAddDummyPrefix() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec.Builder
Adds dummy whitespace at the beginning of text in order to
treat "world" in "world" and "hello world" in the same way.
optional bool add_dummy_prefix = 3 [default = true];
hasAddDummyPrefix() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpecOrBuilder
Adds dummy whitespace at the beginning of text in order to
treat "world" in "world" and "hello world" in the same way.
optional bool add_dummy_prefix = 3 [default = true];
hasAllowWhitespaceOnlyPieces() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Allows pieces that only contain whitespaces instead of appearing only as
prefix or suffix of other pieces.
optional bool allow_whitespace_only_pieces = 26 [default = false];
hasAllowWhitespaceOnlyPieces() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Allows pieces that only contain whitespaces instead of appearing only as
prefix or suffix of other pieces.
optional bool allow_whitespace_only_pieces = 26 [default = false];
hasAllowWhitespaceOnlyPieces() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Allows pieces that only contain whitespaces instead of appearing only as
prefix or suffix of other pieces.
optional bool allow_whitespace_only_pieces = 26 [default = false];
hasBosId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
<s>
optional int32 bos_id = 41 [default = 1];
hasBosId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
<s>
optional int32 bos_id = 41 [default = 1];
hasBosId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
<s>
optional int32 bos_id = 41 [default = 1];
hasBosPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
optional string bos_piece = 46 [default = "<s>"];
hasBosPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
optional string bos_piece = 46 [default = "<s>"];
hasBosPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
optional string bos_piece = 46 [default = "<s>"];
hasByteFallback() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Decomposes unknown pieces into UTF-8 bytes.
optional bool byte_fallback = 35 [default = false];
hasByteFallback() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Decomposes unknown pieces into UTF-8 bytes.
optional bool byte_fallback = 35 [default = false];
hasByteFallback() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Decomposes unknown pieces into UTF-8 bytes.
optional bool byte_fallback = 35 [default = false];
hasCharacterCoverage() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
/////////////////////////////////////////////////////////////////
Training parameters.

Uses characters which cover the corpus with the ratio of `chars_coverage`.
This parameter determines the set of basic Alphabet of sentence piece.
1.0 - `chars_coverage` characters are treated as UNK.
See also required_chars field.
optional float character_coverage = 10 [default = 0.9995];
hasCharacterCoverage() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
/////////////////////////////////////////////////////////////////
Training parameters.

Uses characters which cover the corpus with the ratio of `chars_coverage`.
This parameter determines the set of basic Alphabet of sentence piece.
1.0 - `chars_coverage` characters are treated as UNK.
See also required_chars field.
optional float character_coverage = 10 [default = 0.9995];
hasCharacterCoverage() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
/////////////////////////////////////////////////////////////////
Training parameters.

Uses characters which cover the corpus with the ratio of `chars_coverage`.
This parameter determines the set of basic Alphabet of sentence piece.
1.0 - `chars_coverage` characters are treated as UNK.
See also required_chars field.
optional float character_coverage = 10 [default = 0.9995];
hasDenormalizerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProto
Spec for text de-normalization.
optional .com.google.genai.proto.NormalizerSpec denormalizer_spec = 5;
hasDenormalizerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProto.Builder
Spec for text de-normalization.
optional .com.google.genai.proto.NormalizerSpec denormalizer_spec = 5;
hasDenormalizerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProtoOrBuilder
Spec for text de-normalization.
optional .com.google.genai.proto.NormalizerSpec denormalizer_spec = 5;
hasDifferentialPrivacyClippingThreshold() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Clipping threshold to apply after adding noise. All the words with
frequency less than this value are dropped.
optional uint64 differential_privacy_clipping_threshold = 52 [default = 0];
hasDifferentialPrivacyClippingThreshold() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Clipping threshold to apply after adding noise. All the words with
frequency less than this value are dropped.
optional uint64 differential_privacy_clipping_threshold = 52 [default = 0];
hasDifferentialPrivacyClippingThreshold() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Clipping threshold to apply after adding noise. All the words with
frequency less than this value are dropped.
optional uint64 differential_privacy_clipping_threshold = 52 [default = 0];
hasDifferentialPrivacyNoiseLevel() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Set these parameters if you need DP version of sentencepiece.
std of noise to add.
optional float differential_privacy_noise_level = 51 [default = 0];
hasDifferentialPrivacyNoiseLevel() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Set these parameters if you need DP version of sentencepiece.
std of noise to add.
optional float differential_privacy_noise_level = 51 [default = 0];
hasDifferentialPrivacyNoiseLevel() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Set these parameters if you need DP version of sentencepiece.
std of noise to add.
optional float differential_privacy_noise_level = 51 [default = 0];
hasEnableDifferentialPrivacy() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Whether to use DP version of sentencepiece. Use it with TSV input format
(requires precomputed word tab counts to work).
optional bool enable_differential_privacy = 50 [default = false];
hasEnableDifferentialPrivacy() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Whether to use DP version of sentencepiece. Use it with TSV input format
(requires precomputed word tab counts to work).
optional bool enable_differential_privacy = 50 [default = false];
hasEnableDifferentialPrivacy() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Whether to use DP version of sentencepiece. Use it with TSV input format
(requires precomputed word tab counts to work).
optional bool enable_differential_privacy = 50 [default = false];
hasEosId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
</s>
optional int32 eos_id = 42 [default = 2];
hasEosId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
</s>
optional int32 eos_id = 42 [default = 2];
hasEosId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
</s>
optional int32 eos_id = 42 [default = 2];
hasEosPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
optional string eos_piece = 47 [default = "</s>"];
hasEosPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
optional string eos_piece = 47 [default = "</s>"];
hasEosPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
optional string eos_piece = 47 [default = "</s>"];
hasEscapeWhitespaces() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
Replaces whitespace with meta symbol.
This field must be true to train sentence piece model.
optional bool escape_whitespaces = 5 [default = true];
hasEscapeWhitespaces() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec.Builder
Replaces whitespace with meta symbol.
This field must be true to train sentence piece model.
optional bool escape_whitespaces = 5 [default = true];
hasEscapeWhitespaces() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpecOrBuilder
Replaces whitespace with meta symbol.
This field must be true to train sentence piece model.
optional bool escape_whitespaces = 5 [default = true];
hasExpected() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.Sample
optional string expected = 2;
hasExpected() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.Sample.Builder
optional string expected = 2;
hasExpected() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.SampleOrBuilder
optional string expected = 2;
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.GeneratedMessageV3.ExtendableBuilder
 
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.GeneratedMessageV3.ExtendableMessage
 
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.SentencepieceModel.ModelProto.SentencePieceOrBuilder
 
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.SentencepieceModel.ModelProtoOrBuilder
 
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.SentencepieceModel.NormalizerSpecOrBuilder
 
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.SentencepieceModel.SelfTestDataOrBuilder
 
hasExtension(com.google.protobuf.ExtensionLite) - function in com.google.protobuf.SentencepieceModel.TrainerSpecOrBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.GeneratedMessageV3
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.GeneratedMessageV3.Builder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.GeneratedMessageV3.ExtendableBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.GeneratedMessageV3.ExtendableMessage
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.SentencepieceModel.ModelProto.SentencePieceOrBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.SentencepieceModel.ModelProtoOrBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.SentencepieceModel.NormalizerSpecOrBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.SentencepieceModel.SelfTestData.SampleOrBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.SentencepieceModel.SelfTestDataOrBuilder
 
hasField(com.google.protobuf.Descriptors.FieldDescriptor) - function in com.google.protobuf.SentencepieceModel.TrainerSpecOrBuilder
 
hasHardVocabLimit() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
`vocab_size` is treated as hard limit. Crash if
the model can not produce the vocab of size `vocab_size`,
When `hard_vocab_limit` is false, vocab_size is treated
as soft limit. Note that when model_type=char,
always assumes hard_vocab_limit = false.
optional bool hard_vocab_limit = 33 [default = true];
hasHardVocabLimit() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
`vocab_size` is treated as hard limit. Crash if
the model can not produce the vocab of size `vocab_size`,
When `hard_vocab_limit` is false, vocab_size is treated
as soft limit. Note that when model_type=char,
always assumes hard_vocab_limit = false.
optional bool hard_vocab_limit = 33 [default = true];
hasHardVocabLimit() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
`vocab_size` is treated as hard limit. Crash if
the model can not produce the vocab of size `vocab_size`,
When `hard_vocab_limit` is false, vocab_size is treated
as soft limit. Note that when model_type=char,
always assumes hard_vocab_limit = false.
optional bool hard_vocab_limit = 33 [default = true];
hashCode() - function in com.google.genai.proto.SentencepieceModel.ModelProto
 
hashCode() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece
 
hashCode() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
 
hashCode() - function in com.google.genai.proto.SentencepieceModel.SelfTestData
 
hashCode() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.Sample
 
hashCode() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
 
hashCode() - function in com.google.genai.types.ActivityHandling
 
hashCode() - function in com.google.genai.types.AdapterSize
 
hashCode() - function in com.google.genai.types.AggregationMetric
 
hashCode() - function in com.google.genai.types.ApiSpec
 
hashCode() - function in com.google.genai.types.AuthType
 
hashCode() - function in com.google.genai.types.Behavior
 
hashCode() - function in com.google.genai.types.BlockedReason
 
hashCode() - function in com.google.genai.types.ComputationBasedMetricType
 
hashCode() - function in com.google.genai.types.ControlReferenceType
 
hashCode() - function in com.google.genai.types.DocumentState
 
hashCode() - function in com.google.genai.types.DynamicRetrievalConfigMode
 
hashCode() - function in com.google.genai.types.EditMode
 
hashCode() - function in com.google.genai.types.EmbeddingApiType
 
hashCode() - function in com.google.genai.types.EndSensitivity
 
hashCode() - function in com.google.genai.types.Environment
 
hashCode() - function in com.google.genai.types.FeatureSelectionPreference
 
hashCode() - function in com.google.genai.types.FileSource
 
hashCode() - function in com.google.genai.types.FileState
 
hashCode() - function in com.google.genai.types.FinishReason
 
hashCode() - function in com.google.genai.types.FunctionCallingConfigMode
 
hashCode() - function in com.google.genai.types.FunctionResponseScheduling
 
hashCode() - function in com.google.genai.types.HarmBlockMethod
 
hashCode() - function in com.google.genai.types.HarmBlockThreshold
 
hashCode() - function in com.google.genai.types.HarmCategory
 
hashCode() - function in com.google.genai.types.HarmProbability
 
hashCode() - function in com.google.genai.types.HarmSeverity
 
hashCode() - function in com.google.genai.types.HttpElementLocation
 
hashCode() - function in com.google.genai.types.ImagePromptLanguage
 
hashCode() - function in com.google.genai.types.ImageResizeMode
 
hashCode() - function in com.google.genai.types.JobState
 
hashCode() - function in com.google.genai.types.Language
 
hashCode() - function in com.google.genai.types.MaskReferenceMode
 
hashCode() - function in com.google.genai.types.MediaModality
 
hashCode() - function in com.google.genai.types.MediaResolution
 
hashCode() - function in com.google.genai.types.Modality
 
hashCode() - function in com.google.genai.types.ModelRoutingPreference
 
hashCode() - function in com.google.genai.types.ModelStage
 
hashCode() - function in com.google.genai.types.NullValue
 
hashCode() - function in com.google.genai.types.Outcome
 
hashCode() - function in com.google.genai.types.PairwiseChoice
 
hashCode() - function in com.google.genai.types.PartMediaResolutionLevel
 
hashCode() - function in com.google.genai.types.PersonGeneration
 
hashCode() - function in com.google.genai.types.PhishBlockThreshold
 
hashCode() - function in com.google.genai.types.ProminentPeople
 
hashCode() - function in com.google.genai.types.ProxyType
 
hashCode() - function in com.google.genai.types.ResourceScope
 
hashCode() - function in com.google.genai.types.RubricContentType
 
hashCode() - function in com.google.genai.types.SafetyFilterLevel
 
hashCode() - function in com.google.genai.types.SegmentMode
 
hashCode() - function in com.google.genai.types.ServiceTier
 
hashCode() - function in com.google.genai.types.StartSensitivity
 
hashCode() - function in com.google.genai.types.SubjectReferenceType
 
hashCode() - function in com.google.genai.types.ThinkingLevel
 
hashCode() - function in com.google.genai.types.ToolType
 
hashCode() - function in com.google.genai.types.TrafficType
 
hashCode() - function in com.google.genai.types.TuningJobState
 
hashCode() - function in com.google.genai.types.TuningMethod
 
hashCode() - function in com.google.genai.types.TuningMode
 
hashCode() - function in com.google.genai.types.TuningTask
 
hashCode() - function in com.google.genai.types.TurnCompleteReason
 
hashCode() - function in com.google.genai.types.TurnCoverage
 
hashCode() - function in com.google.genai.types.Type
 
hashCode() - function in com.google.genai.types.UrlRetrievalStatus
 
hashCode() - function in com.google.genai.types.VadSignalType
 
hashCode() - function in com.google.genai.types.VideoCompressionQuality
 
hashCode() - function in com.google.genai.types.VideoGenerationMaskMode
 
hashCode() - function in com.google.genai.types.VideoGenerationReferenceType
 
hashCode() - function in com.google.genai.types.VoiceActivityType
 
hasInput() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.Sample
optional string input = 1;
hasInput() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.Sample.Builder
optional string input = 1;
hasInput() - function in com.google.genai.proto.SentencepieceModel.SelfTestData.SampleOrBuilder
optional string input = 1;
hasInputFormat() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Input corpus format:
"text": one-sentence-per-line text format (default)
"tsv":  sentence <tab> freq
optional string input_format = 7;
hasInputFormat() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Input corpus format:
"text": one-sentence-per-line text format (default)
"tsv":  sentence <tab> freq
optional string input_format = 7;
hasInputFormat() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Input corpus format:
"text": one-sentence-per-line text format (default)
"tsv":  sentence <tab> freq
optional string input_format = 7;
hasInputSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Maximum size of sentences the trainer loads from `input` parameter.
Trainer simply loads the `input` files in sequence.
It is better to shuffle the input corpus randomly.
optional uint64 input_sentence_size = 11 [default = 0];
hasInputSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Maximum size of sentences the trainer loads from `input` parameter.
Trainer simply loads the `input` files in sequence.
It is better to shuffle the input corpus randomly.
optional uint64 input_sentence_size = 11 [default = 0];
hasInputSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Maximum size of sentences the trainer loads from `input` parameter.
Trainer simply loads the `input` files in sequence.
It is better to shuffle the input corpus randomly.
optional uint64 input_sentence_size = 11 [default = 0];
hasMaxSentenceLength() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
The maximum sentence length in byte. The sentences with the length
larger than `max_sentence_length` is simply ignored.
Longer input tends to bring the following risks:
 * Overflow during EM training (unigram language model only)
 * Performance drop because of O(n log n) cost in BPE.
optional int32 max_sentence_length = 18 [default = 4192];
hasMaxSentenceLength() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
The maximum sentence length in byte. The sentences with the length
larger than `max_sentence_length` is simply ignored.
Longer input tends to bring the following risks:
 * Overflow during EM training (unigram language model only)
 * Performance drop because of O(n log n) cost in BPE.
optional int32 max_sentence_length = 18 [default = 4192];
hasMaxSentenceLength() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
The maximum sentence length in byte. The sentences with the length
larger than `max_sentence_length` is simply ignored.
Longer input tends to bring the following risks:
 * Overflow during EM training (unigram language model only)
 * Performance drop because of O(n log n) cost in BPE.
optional int32 max_sentence_length = 18 [default = 4192];
hasMaxSentencepieceLength() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
/////////////////////////////////////////////////////////////////
SentencePiece parameters which control the shapes of sentence piece.

Maximum length of sentencepiece.
optional int32 max_sentencepiece_length = 20 [default = 16];
hasMaxSentencepieceLength() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
/////////////////////////////////////////////////////////////////
SentencePiece parameters which control the shapes of sentence piece.

Maximum length of sentencepiece.
optional int32 max_sentencepiece_length = 20 [default = 16];
hasMaxSentencepieceLength() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
/////////////////////////////////////////////////////////////////
SentencePiece parameters which control the shapes of sentence piece.

Maximum length of sentencepiece.
optional int32 max_sentencepiece_length = 20 [default = 16];
hasMiningSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Maximum size of sentences to make seed sentence pieces.
Extended suffix array is constructed to extract frequent
sub-strings from the corpus. This uses 20N working space,
where N is the size of corpus.
optional int32 mining_sentence_size = 12 [deprecated = true];
hasMiningSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Maximum size of sentences to make seed sentence pieces.
Extended suffix array is constructed to extract frequent
sub-strings from the corpus. This uses 20N working space,
where N is the size of corpus.
optional int32 mining_sentence_size = 12 [deprecated = true];
hasMiningSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Maximum size of sentences to make seed sentence pieces.
Extended suffix array is constructed to extract frequent
sub-strings from the corpus. This uses 20N working space,
where N is the size of corpus.
optional int32 mining_sentence_size = 12 [deprecated = true];
hasModelPrefix() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Output model file prefix.
<model_prefix>.model and <model_prefix>.vocab are generated.
optional string model_prefix = 2;
hasModelPrefix() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Output model file prefix.
<model_prefix>.model and <model_prefix>.vocab are generated.
optional string model_prefix = 2;
hasModelPrefix() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Output model file prefix.
<model_prefix>.model and <model_prefix>.vocab are generated.
optional string model_prefix = 2;
hasModelType() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
optional .com.google.genai.proto.TrainerSpec.ModelType model_type = 3 [default = UNIGRAM];
hasModelType() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
optional .com.google.genai.proto.TrainerSpec.ModelType model_type = 3 [default = UNIGRAM];
hasModelType() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
optional .com.google.genai.proto.TrainerSpec.ModelType model_type = 3 [default = UNIGRAM];
hasName() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
name of normalization rule.
optional string name = 1;
hasName() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec.Builder
name of normalization rule.
optional string name = 1;
hasName() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpecOrBuilder
name of normalization rule.
optional string name = 1;
hasNormalizationRuleTsv() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
Custom normalization rule file in TSV format.
https://github.com/google/sentencepiece/blob/master/doc/normalization.md
This field is only used in SentencePieceTrainer::Train() method, which
compiles the rule into the binary rule stored in `precompiled_charsmap`.
optional string normalization_rule_tsv = 6;
hasNormalizationRuleTsv() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec.Builder
Custom normalization rule file in TSV format.
https://github.com/google/sentencepiece/blob/master/doc/normalization.md
This field is only used in SentencePieceTrainer::Train() method, which
compiles the rule into the binary rule stored in `precompiled_charsmap`.
optional string normalization_rule_tsv = 6;
hasNormalizationRuleTsv() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpecOrBuilder
Custom normalization rule file in TSV format.
https://github.com/google/sentencepiece/blob/master/doc/normalization.md
This field is only used in SentencePieceTrainer::Train() method, which
compiles the rule into the binary rule stored in `precompiled_charsmap`.
optional string normalization_rule_tsv = 6;
hasNormalizerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProto
Spec for text normalization.
optional .com.google.genai.proto.NormalizerSpec normalizer_spec = 3;
hasNormalizerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProto.Builder
Spec for text normalization.
optional .com.google.genai.proto.NormalizerSpec normalizer_spec = 3;
hasNormalizerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProtoOrBuilder
Spec for text normalization.
optional .com.google.genai.proto.NormalizerSpec normalizer_spec = 3;
hasNumSubIterations() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Number of EM sub iterations.
optional int32 num_sub_iterations = 17 [default = 2];
hasNumSubIterations() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Number of EM sub iterations.
optional int32 num_sub_iterations = 17 [default = 2];
hasNumSubIterations() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Number of EM sub iterations.
optional int32 num_sub_iterations = 17 [default = 2];
hasNumThreads() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Number of threads in the training.
optional int32 num_threads = 16 [default = 16];
hasNumThreads() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Number of threads in the training.
optional int32 num_threads = 16 [default = 16];
hasNumThreads() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Number of threads in the training.
optional int32 num_threads = 16 [default = 16];
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.GeneratedMessageV3
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.GeneratedMessageV3.Builder
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.SentencepieceModel.ModelProto.SentencePieceOrBuilder
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.SentencepieceModel.ModelProtoOrBuilder
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.SentencepieceModel.NormalizerSpecOrBuilder
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.SentencepieceModel.SelfTestData.SampleOrBuilder
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.SentencepieceModel.SelfTestDataOrBuilder
 
hasOneof(com.google.protobuf.Descriptors.OneofDescriptor) - function in com.google.protobuf.SentencepieceModel.TrainerSpecOrBuilder
 
hasPadId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
<pad> (padding)
optional int32 pad_id = 43 [default = -1];
hasPadId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
<pad> (padding)
optional int32 pad_id = 43 [default = -1];
hasPadId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
<pad> (padding)
optional int32 pad_id = 43 [default = -1];
hasPadPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
optional string pad_piece = 48 [default = "<pad>"];
hasPadPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
optional string pad_piece = 48 [default = "<pad>"];
hasPadPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
optional string pad_piece = 48 [default = "<pad>"];
hasPiece() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece
piece must not be empty.
optional string piece = 1;
hasPiece() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece.Builder
piece must not be empty.
optional string piece = 1;
hasPiece() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePieceOrBuilder
piece must not be empty.
optional string piece = 1;
hasPrecompiledCharsmap() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
Pre-compiled normalization rule created by
Builder::GetPrecompiledCharsMap() or Builder::CompileCharsMap() method.
Usually this field is set by Builder::GetNormalizerSpec() method.
optional bytes precompiled_charsmap = 2;
hasPrecompiledCharsmap() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec.Builder
Pre-compiled normalization rule created by
Builder::GetPrecompiledCharsMap() or Builder::CompileCharsMap() method.
Usually this field is set by Builder::GetNormalizerSpec() method.
optional bytes precompiled_charsmap = 2;
hasPrecompiledCharsmap() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpecOrBuilder
Pre-compiled normalization rule created by
Builder::GetPrecompiledCharsMap() or Builder::CompileCharsMap() method.
Usually this field is set by Builder::GetNormalizerSpec() method.
optional bytes precompiled_charsmap = 2;
hasPretokenizationDelimiter() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Defines the pre-tokenization delimiter.
When specified, no pieces crossing this delimiter is not included
in the vocab. Then the delimiter string is virtually ignored
during the training. This field can allows constraints on the vocabulary
selection. Note that this field is available on unigram mode.
optional string pretokenization_delimiter = 53 [default = ""];
hasPretokenizationDelimiter() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Defines the pre-tokenization delimiter.
When specified, no pieces crossing this delimiter is not included
in the vocab. Then the delimiter string is virtually ignored
during the training. This field can allows constraints on the vocabulary
selection. Note that this field is available on unigram mode.
optional string pretokenization_delimiter = 53 [default = ""];
hasPretokenizationDelimiter() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Defines the pre-tokenization delimiter.
When specified, no pieces crossing this delimiter is not included
in the vocab. Then the delimiter string is virtually ignored
during the training. This field can allows constraints on the vocabulary
selection. Note that this field is available on unigram mode.
optional string pretokenization_delimiter = 53 [default = ""];
hasRemoveExtraWhitespaces() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec
Removes leading, trailing, and duplicate internal whitespace.
optional bool remove_extra_whitespaces = 4 [default = true];
hasRemoveExtraWhitespaces() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpec.Builder
Removes leading, trailing, and duplicate internal whitespace.
optional bool remove_extra_whitespaces = 4 [default = true];
hasRemoveExtraWhitespaces() - function in com.google.genai.proto.SentencepieceModel.NormalizerSpecOrBuilder
Removes leading, trailing, and duplicate internal whitespace.
optional bool remove_extra_whitespaces = 4 [default = true];
hasRequiredChars() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Defines required characters. Each UTF8 character in this string is included
in the character set regardless of character_coverage value. Unlike
user_defined_symbols, these characters have scores based on the frequency
on input sentences, and the model can form subwords using characters
in this field.
optional string required_chars = 36;
hasRequiredChars() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Defines required characters. Each UTF8 character in this string is included
in the character set regardless of character_coverage value. Unlike
user_defined_symbols, these characters have scores based on the frequency
on input sentences, and the model can form subwords using characters
in this field.
optional string required_chars = 36;
hasRequiredChars() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Defines required characters. Each UTF8 character in this string is included
in the character set regardless of character_coverage value. Unlike
user_defined_symbols, these characters have scores based on the frequency
on input sentences, and the model can form subwords using characters
in this field.
optional string required_chars = 36;
hasScore() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece
optional float score = 2;
hasScore() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece.Builder
optional float score = 2;
hasScore() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePieceOrBuilder
optional float score = 2;
hasSeedSentencepiecesFile() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Path to a seed sentencepieces file, with one tab-separated
seed sentencepiece <tab> frequency per line.
optional string seed_sentencepieces_file = 54 [default = ""];
hasSeedSentencepiecesFile() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Path to a seed sentencepieces file, with one tab-separated
seed sentencepiece <tab> frequency per line.
optional string seed_sentencepieces_file = 54 [default = ""];
hasSeedSentencepiecesFile() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Path to a seed sentencepieces file, with one tab-separated
seed sentencepiece <tab> frequency per line.
optional string seed_sentencepieces_file = 54 [default = ""];
hasSeedSentencepieceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
The size of seed sentencepieces.
`seed_sentencepiece_size` must be larger than `vocab_size`.
optional int32 seed_sentencepiece_size = 14 [default = 1000000];
hasSeedSentencepieceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
The size of seed sentencepieces.
`seed_sentencepiece_size` must be larger than `vocab_size`.
optional int32 seed_sentencepiece_size = 14 [default = 1000000];
hasSeedSentencepieceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
The size of seed sentencepieces.
`seed_sentencepiece_size` must be larger than `vocab_size`.
optional int32 seed_sentencepiece_size = 14 [default = 1000000];
hasSelfTestData() - function in com.google.genai.proto.SentencepieceModel.ModelProto
Stores sample input and its expected segmentation to verify the model.
optional .com.google.genai.proto.SelfTestData self_test_data = 4;
hasSelfTestData() - function in com.google.genai.proto.SentencepieceModel.ModelProto.Builder
Stores sample input and its expected segmentation to verify the model.
optional .com.google.genai.proto.SelfTestData self_test_data = 4;
hasSelfTestData() - function in com.google.genai.proto.SentencepieceModel.ModelProtoOrBuilder
Stores sample input and its expected segmentation to verify the model.
optional .com.google.genai.proto.SelfTestData self_test_data = 4;
hasSelfTestSampleSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Size of self-test samples, which are encoded in the model file.
optional int32 self_test_sample_size = 6 [default = 0];
hasSelfTestSampleSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Size of self-test samples, which are encoded in the model file.
optional int32 self_test_sample_size = 6 [default = 0];
hasSelfTestSampleSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Size of self-test samples, which are encoded in the model file.
optional int32 self_test_sample_size = 6 [default = 0];
hasShrinkingFactor() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
In every EM sub-iterations, keeps top
`shrinking_factor` * `current sentencepieces size` with respect to
the loss of the sentence piece. This value should be smaller than 1.0.
optional float shrinking_factor = 15 [default = 0.75];
hasShrinkingFactor() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
In every EM sub-iterations, keeps top
`shrinking_factor` * `current sentencepieces size` with respect to
the loss of the sentence piece. This value should be smaller than 1.0.
optional float shrinking_factor = 15 [default = 0.75];
hasShrinkingFactor() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
In every EM sub-iterations, keeps top
`shrinking_factor` * `current sentencepieces size` with respect to
the loss of the sentence piece. This value should be smaller than 1.0.
optional float shrinking_factor = 15 [default = 0.75];
hasShuffleInputSentence() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
optional bool shuffle_input_sentence = 19 [default = true];
hasShuffleInputSentence() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
optional bool shuffle_input_sentence = 19 [default = true];
hasShuffleInputSentence() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
optional bool shuffle_input_sentence = 19 [default = true];
hasSplitByNumber() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
When `split_by_number` is true, put a boundary between number and
non-number transition. If we want to treat "F1" is one token, set this flag
to be false.
optional bool split_by_number = 23 [default = true];
hasSplitByNumber() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
When `split_by_number` is true, put a boundary between number and
non-number transition. If we want to treat "F1" is one token, set this flag
to be false.
optional bool split_by_number = 23 [default = true];
hasSplitByNumber() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
When `split_by_number` is true, put a boundary between number and
non-number transition. If we want to treat "F1" is one token, set this flag
to be false.
optional bool split_by_number = 23 [default = true];
hasSplitByUnicodeScript() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Uses Unicode script to split sentence pieces.
When `split_by_unicode_script` is true, we do not allow sentence piece to
include multiple Unicode scripts, e.g. "F1" is not a valid piece.
Exception: CJ characters (Hiragana/Katakana/Han) are all handled
as one script type, since Japanese word can consist of multiple scripts.
This exception is always applied regardless of the accept-language
parameter.
optional bool split_by_unicode_script = 21 [default = true];
hasSplitByUnicodeScript() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Uses Unicode script to split sentence pieces.
When `split_by_unicode_script` is true, we do not allow sentence piece to
include multiple Unicode scripts, e.g. "F1" is not a valid piece.
Exception: CJ characters (Hiragana/Katakana/Han) are all handled
as one script type, since Japanese word can consist of multiple scripts.
This exception is always applied regardless of the accept-language
parameter.
optional bool split_by_unicode_script = 21 [default = true];
hasSplitByUnicodeScript() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Uses Unicode script to split sentence pieces.
When `split_by_unicode_script` is true, we do not allow sentence piece to
include multiple Unicode scripts, e.g. "F1" is not a valid piece.
Exception: CJ characters (Hiragana/Katakana/Han) are all handled
as one script type, since Japanese word can consist of multiple scripts.
This exception is always applied regardless of the accept-language
parameter.
optional bool split_by_unicode_script = 21 [default = true];
hasSplitByWhitespace() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Use a white space to split sentence pieces.
When `split_by_whitespace` is false, we may have the piece containing
a white space in the middle. e.g., "in_the".
optional bool split_by_whitespace = 22 [default = true];
hasSplitByWhitespace() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Use a white space to split sentence pieces.
When `split_by_whitespace` is false, we may have the piece containing
a white space in the middle. e.g., "in_the".
optional bool split_by_whitespace = 22 [default = true];
hasSplitByWhitespace() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Use a white space to split sentence pieces.
When `split_by_whitespace` is false, we may have the piece containing
a white space in the middle. e.g., "in_the".
optional bool split_by_whitespace = 22 [default = true];
hasSplitDigits() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Split all digits (0-9) into separate pieces.
optional bool split_digits = 25 [default = false];
hasSplitDigits() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Split all digits (0-9) into separate pieces.
optional bool split_digits = 25 [default = false];
hasSplitDigits() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Split all digits (0-9) into separate pieces.
optional bool split_digits = 25 [default = false];
hasTrainerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProto
Spec used to generate this model file.
optional .com.google.genai.proto.TrainerSpec trainer_spec = 2;
hasTrainerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProto.Builder
Spec used to generate this model file.
optional .com.google.genai.proto.TrainerSpec trainer_spec = 2;
hasTrainerSpec() - function in com.google.genai.proto.SentencepieceModel.ModelProtoOrBuilder
Spec used to generate this model file.
optional .com.google.genai.proto.TrainerSpec trainer_spec = 2;
hasTrainExtremelyLargeCorpus() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Increase bit depth to allow unigram model training on large
(>10M sentences) corpora. A Side-effect of enabling this flag
is increased memory usage.
optional bool train_extremely_large_corpus = 49 [default = false];
hasTrainExtremelyLargeCorpus() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Increase bit depth to allow unigram model training on large
(>10M sentences) corpora. A Side-effect of enabling this flag
is increased memory usage.
optional bool train_extremely_large_corpus = 49 [default = false];
hasTrainExtremelyLargeCorpus() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Increase bit depth to allow unigram model training on large
(>10M sentences) corpora. A Side-effect of enabling this flag
is increased memory usage.
optional bool train_extremely_large_corpus = 49 [default = false];
hasTrainingSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Maximum size of sentences to train sentence pieces.
optional int32 training_sentence_size = 13 [deprecated = true];
hasTrainingSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Maximum size of sentences to train sentence pieces.
optional int32 training_sentence_size = 13 [deprecated = true];
hasTrainingSentenceSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Maximum size of sentences to train sentence pieces.
optional int32 training_sentence_size = 13 [deprecated = true];
hasTreatWhitespaceAsSuffix() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Adds whitespace symbol (_) as a suffix instead of prefix. e.g., _hello =>
hello_. When `treat_whitespace_as_suffix` is true,
NormalizerSpec::add_dummy_prefix will add the dummy whitespace to the end
of sentence.
optional bool treat_whitespace_as_suffix = 24 [default = false];
hasTreatWhitespaceAsSuffix() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Adds whitespace symbol (_) as a suffix instead of prefix. e.g., _hello =>
hello_. When `treat_whitespace_as_suffix` is true,
NormalizerSpec::add_dummy_prefix will add the dummy whitespace to the end
of sentence.
optional bool treat_whitespace_as_suffix = 24 [default = false];
hasTreatWhitespaceAsSuffix() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Adds whitespace symbol (_) as a suffix instead of prefix. e.g., _hello =>
hello_. When `treat_whitespace_as_suffix` is true,
NormalizerSpec::add_dummy_prefix will add the dummy whitespace to the end
of sentence.
optional bool treat_whitespace_as_suffix = 24 [default = false];
hasType() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece
optional .com.google.genai.proto.ModelProto.SentencePiece.Type type = 3 [default = NORMAL];
hasType() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePiece.Builder
optional .com.google.genai.proto.ModelProto.SentencePiece.Type type = 3 [default = NORMAL];
hasType() - function in com.google.genai.proto.SentencepieceModel.ModelProto.SentencePieceOrBuilder
optional .com.google.genai.proto.ModelProto.SentencePiece.Type type = 3 [default = NORMAL];
hasUnion() - function in com.google.genai.types.TestTableItem
True if the parameters contain an unsupported union type.
hasUnion(boolean) - function in com.google.genai.types.TestTableItem.Builder
Setter for hasUnion.
hasUnkId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
/////////////////////////////////////////////////////////////////
Reserved special meta tokens.
* -1 is not used.
* unk_id must not be -1.
Id must starts with 0 and be contiguous.
optional int32 unk_id = 40 [default = 0];
hasUnkId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
/////////////////////////////////////////////////////////////////
Reserved special meta tokens.
* -1 is not used.
* unk_id must not be -1.
Id must starts with 0 and be contiguous.
optional int32 unk_id = 40 [default = 0];
hasUnkId() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
/////////////////////////////////////////////////////////////////
Reserved special meta tokens.
* -1 is not used.
* unk_id must not be -1.
Id must starts with 0 and be contiguous.
optional int32 unk_id = 40 [default = 0];
hasUnkPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
optional string unk_piece = 45 [default = "<unk>"];
hasUnkPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
optional string unk_piece = 45 [default = "<unk>"];
hasUnkPiece() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
optional string unk_piece = 45 [default = "<unk>"];
hasUnkSurface() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Encodes <unk> into U+2047 (DOUBLE QUESTION MARK),
since this character can be useful both for user and
developer. We can easily figure out that <unk> is emitted.
optional string unk_surface = 44 [default = " \342\201\207 "];
hasUnkSurface() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Encodes <unk> into U+2047 (DOUBLE QUESTION MARK),
since this character can be useful both for user and
developer. We can easily figure out that <unk> is emitted.
optional string unk_surface = 44 [default = " \342\201\207 "];
hasUnkSurface() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Encodes <unk> into U+2047 (DOUBLE QUESTION MARK),
since this character can be useful both for user and
developer. We can easily figure out that <unk> is emitted.
optional string unk_surface = 44 [default = " \342\201\207 "];
hasUseAllVocab() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
use all symbols for vocab extraction. This flag is valid
if model type is either CHAR or WORD
optional bool use_all_vocab = 34 [default = false];
hasUseAllVocab() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
use all symbols for vocab extraction. This flag is valid
if model type is either CHAR or WORD
optional bool use_all_vocab = 34 [default = false];
hasUseAllVocab() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
use all symbols for vocab extraction. This flag is valid
if model type is either CHAR or WORD
optional bool use_all_vocab = 34 [default = false];
hasVocabSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
Vocabulary size. 8k is the default size.
optional int32 vocab_size = 4 [default = 8000];
hasVocabSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
Vocabulary size. 8k is the default size.
optional int32 vocab_size = 4 [default = 8000];
hasVocabSize() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
Vocabulary size. 8k is the default size.
optional int32 vocab_size = 4 [default = 8000];
hasVocabularyOutputPieceScore() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec
When creating the vocabulary file, defines whether or not to additionally
output the score for each piece.
optional bool vocabulary_output_piece_score = 32 [default = true];
hasVocabularyOutputPieceScore() - function in com.google.genai.proto.SentencepieceModel.TrainerSpec.Builder
When creating the vocabulary file, defines whether or not to additionally
output the score for each piece.
optional bool vocabulary_output_piece_score = 32 [default = true];
hasVocabularyOutputPieceScore() - function in com.google.genai.proto.SentencepieceModel.TrainerSpecOrBuilder
When creating the vocabulary file, defines whether or not to additionally
output the score for each piece.
optional bool vocabulary_output_piece_score = 32 [default = true];
headers() - function in com.google.genai.types.HttpOptions
Additional HTTP headers to be sent with the request.
headers(java.util.Map) - function in com.google.genai.types.HttpOptions.Builder
Setter for headers.
headers() - function in com.google.genai.types.HttpResponse
Used to retain the processed HTTP headers in the response.
headers(java.util.Map) - function in com.google.genai.types.HttpResponse.Builder
Setter for headers.
headers() - function in com.google.genai.types.ReplayRequest
 
headers(java.util.Map) - function in com.google.genai.types.ReplayRequest.Builder
Setter for headers.
headers() - function in com.google.genai.types.ReplayResponse
 
headers(java.util.Map) - function in com.google.genai.types.ReplayResponse.Builder
Setter for headers.
headers() - function in com.google.genai.types.StreamableHttpTransport
Optional: Fields for authentication headers, timeouts, etc., if needed.
headers(java.util.Map) - function in com.google.genai.types.StreamableHttpTransport.Builder
Setter for headers.
HI - enum entry in com.google.genai.types.ImagePromptLanguage.Known

Hindi

HIGH - enum entry in com.google.genai.types.HarmProbability.Known

The harm probability is high.

HIGH - enum entry in com.google.genai.types.ThinkingLevel.Known

High thinking level.

host() - function in com.google.genai.types.ProxyOptions
Proxy server hostname or IP address.
host(java.lang.String) - function in com.google.genai.types.ProxyOptions.Builder
Setter for host.
HTTP - enum entry in com.google.genai.types.ProxyType.Known

Represents an HTTP proxy.

HTTP_BASIC_AUTH - enum entry in com.google.genai.types.AuthType.Known

HTTP Basic Auth.

HTTP_ELEMENT_LOCATION_UNSPECIFIED - enum entry in com.google.genai.types.HttpElementLocation.Known
 
HTTP_IN_BODY - enum entry in com.google.genai.types.HttpElementLocation.Known

Element is in the HTTP request body.

HTTP_IN_COOKIE - enum entry in com.google.genai.types.HttpElementLocation.Known

Element is in the HTTP request cookie.

HTTP_IN_HEADER - enum entry in com.google.genai.types.HttpElementLocation.Known

Element is in the HTTP request header.

HTTP_IN_PATH - enum entry in com.google.genai.types.HttpElementLocation.Known

Element is in the HTTP request path.

HTTP_IN_QUERY - enum entry in com.google.genai.types.HttpElementLocation.Known

Element is in the HTTP request query.

HTTP_IN_UNSPECIFIED - enum entry in com.google.genai.types.HttpElementLocation.Known
 
HttpApiClient - class in com.google.genai
Base client for the HTTP APIs.
httpBasicAuthConfig() - function in com.google.genai.types.AuthConfig
Config for HTTP Basic auth.
httpBasicAuthConfig(com.google.genai.types.AuthConfigHttpBasicAuthConfig) - function in com.google.genai.types.AuthConfig.Builder
Setter for httpBasicAuthConfig.
httpBasicAuthConfig(com.google.genai.types.AuthConfigHttpBasicAuthConfig.Builder) - function in com.google.genai.types.AuthConfig.Builder
Setter for httpBasicAuthConfig builder.
httpClient() - function in com.google.genai.ApiClient
Returns the HttpClient for API calls.
httpClient() - function in com.google.genai.ApiClient
Returns the HttpClient for API calls.
httpElementLocation() - function in com.google.genai.types.ApiKeyConfig
Optional.
httpElementLocation(com.google.genai.types.HttpElementLocation) - function in com.google.genai.types.ApiKeyConfig.Builder
Setter for httpElementLocation.
httpElementLocation(com.google.genai.types.HttpElementLocation.Known) - function in com.google.genai.types.ApiKeyConfig.Builder
Setter for httpElementLocation given a known enum.
httpElementLocation(java.lang.String) - function in com.google.genai.types.ApiKeyConfig.Builder
Setter for httpElementLocation given a string.
HttpElementLocation - class in com.google.genai.types
The location of the API key.
HttpElementLocation.Known - class in com.google.genai.types.HttpElementLocation
Enum representing the known values for HttpElementLocation.
httpOptions() - function in com.google.genai.ApiClient
Returns the HTTP options for API calls.
httpOptions() - function in com.google.genai.ApiClient
Returns the HTTP options for API calls.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.Client.Builder
Sets the HttpOptions for the API client.
httpOptions() - function in com.google.genai.Common.BuiltRequest
 
httpOptions() - function in com.google.genai.types.CancelBatchJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CancelBatchJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CancelBatchJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CancelTuningJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CancelTuningJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CancelTuningJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ComputeTokensConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ComputeTokensConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ComputeTokensConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CountTokensConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CountTokensConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CountTokensConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateAuthTokenConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateAuthTokenConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateAuthTokenConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateBatchJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateBatchJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateBatchJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateCachedContentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateCachedContentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateCachedContentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateEmbeddingsBatchJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateEmbeddingsBatchJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateEmbeddingsBatchJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateFileConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateFileConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateFileConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateFileSearchStoreConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateFileSearchStoreConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateFileSearchStoreConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.CreateTuningJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.CreateTuningJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.CreateTuningJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DeleteBatchJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DeleteBatchJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DeleteBatchJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DeleteCachedContentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DeleteCachedContentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DeleteCachedContentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DeleteDocumentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DeleteDocumentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DeleteDocumentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DeleteFileConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DeleteFileConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DeleteFileConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DeleteFileSearchStoreConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DeleteFileSearchStoreConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DeleteFileSearchStoreConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DeleteModelConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DeleteModelConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DeleteModelConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.DownloadFileConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.DownloadFileConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.DownloadFileConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.EditImageConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.EditImageConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.EditImageConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.EmbedContentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.EmbedContentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.EmbedContentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.FetchPredictOperationConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.FetchPredictOperationConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.FetchPredictOperationConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GenerateContentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GenerateContentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GenerateContentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GenerateImagesConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GenerateImagesConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GenerateImagesConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GenerateVideosConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GenerateVideosConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GenerateVideosConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetBatchJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetBatchJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetBatchJobConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetCachedContentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetCachedContentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetCachedContentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetDocumentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetDocumentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetDocumentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetFileConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetFileConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetFileConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetFileSearchStoreConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetFileSearchStoreConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetFileSearchStoreConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetModelConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetModelConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetModelConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetOperationConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetOperationConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetOperationConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.GetTuningJobConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.GetTuningJobConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.GetTuningJobConfig.Builder
Setter for httpOptions builder.
HttpOptions - class in com.google.genai.types
HTTP options to be used in each of the requests.
httpOptions() - function in com.google.genai.types.ImportFileConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ImportFileConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ImportFileConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListBatchJobsConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListBatchJobsConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListBatchJobsConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListCachedContentsConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListCachedContentsConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListCachedContentsConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListDocumentsConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListDocumentsConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListDocumentsConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListFileSearchStoresConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListFileSearchStoresConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListFileSearchStoresConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListFilesConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListFilesConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListFilesConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListModelsConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListModelsConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListModelsConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.ListTuningJobsConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.ListTuningJobsConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.ListTuningJobsConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.LiveConnectConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.LiveConnectConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.LiveConnectConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.RecontextImageConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.RecontextImageConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.RecontextImageConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.RegisterFilesConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.RegisterFilesConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.RegisterFilesConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.SegmentImageConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.SegmentImageConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.SegmentImageConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.UpdateCachedContentConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.UpdateCachedContentConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.UpdateCachedContentConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.UpdateModelConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.UpdateModelConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.UpdateModelConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.UploadFileConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.UploadFileConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.UploadFileConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.UploadToFileSearchStoreConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.UploadToFileSearchStoreConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.UploadToFileSearchStoreConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.UpscaleImageAPIConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.UpscaleImageAPIConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.UpscaleImageAPIConfig.Builder
Setter for httpOptions builder.
httpOptions() - function in com.google.genai.types.UpscaleImageConfig
Used to override HTTP request options.
httpOptions(com.google.genai.types.HttpOptions) - function in com.google.genai.types.UpscaleImageConfig.Builder
Setter for httpOptions.
httpOptions(com.google.genai.types.HttpOptions.Builder) - function in com.google.genai.types.UpscaleImageConfig.Builder
Setter for httpOptions builder.
HttpOptions.Builder - class in com.google.genai.types.HttpOptions
Builder for HttpOptions.
HttpResponse - class in com.google.genai.types
A wrapper class for the http response.
HttpResponse.Builder - class in com.google.genai.types.HttpResponse
Builder for HttpResponse.
HttpRetryOptions - class in com.google.genai.types
HTTP retry options to be used in each of the requests.
HttpRetryOptions.Builder - class in com.google.genai.types.HttpRetryOptions
Builder for HttpRetryOptions.
httpStatusCodes() - function in com.google.genai.types.HttpRetryOptions
List of HTTP status codes that should trigger a retry.
httpStatusCodes(kotlin.Array) - function in com.google.genai.types.HttpRetryOptions.Builder
Setter for httpStatusCodes.
httpStatusCodes(java.util.List) - function in com.google.genai.types.HttpRetryOptions.Builder
Setter for httpStatusCodes.
hybridSearch() - function in com.google.genai.types.RagRetrievalConfig
Optional.
hybridSearch(com.google.genai.types.RagRetrievalConfigHybridSearch) - function in com.google.genai.types.RagRetrievalConfig.Builder
Setter for hybridSearch.
hybridSearch(com.google.genai.types.RagRetrievalConfigHybridSearch.Builder) - function in com.google.genai.types.RagRetrievalConfig.Builder
Setter for hybridSearch builder.
hyperParameters() - function in com.google.genai.types.DistillationSpec
Optional.
hyperParameters(com.google.genai.types.DistillationHyperParameters) - function in com.google.genai.types.DistillationSpec.Builder
Setter for hyperParameters.
hyperParameters(com.google.genai.types.DistillationHyperParameters.Builder) - function in com.google.genai.types.DistillationSpec.Builder
Setter for hyperParameters builder.
hyperParameters() - function in com.google.genai.types.FullFineTuningSpec
Optional.
hyperParameters(com.google.genai.types.SupervisedHyperParameters) - function in com.google.genai.types.FullFineTuningSpec.Builder
Setter for hyperParameters.
hyperParameters(com.google.genai.types.SupervisedHyperParameters.Builder) - function in com.google.genai.types.FullFineTuningSpec.Builder
Setter for hyperParameters builder.
hyperParameters() - function in com.google.genai.types.PartnerModelTuningSpec
Hyperparameters for tuning.
hyperParameters(java.util.Map) - function in com.google.genai.types.PartnerModelTuningSpec.Builder
Setter for hyperParameters.
hyperParameters() - function in com.google.genai.types.PreferenceOptimizationSpec
Optional.
hyperParameters(com.google.genai.types.PreferenceOptimizationHyperParameters) - function in com.google.genai.types.PreferenceOptimizationSpec.Builder
Setter for hyperParameters.
hyperParameters(com.google.genai.types.PreferenceOptimizationHyperParameters.Builder) - function in com.google.genai.types.PreferenceOptimizationSpec.Builder
Setter for hyperParameters builder.
hyperParameters() - function in com.google.genai.types.SupervisedTuningSpec
Optional.
hyperParameters(com.google.genai.types.SupervisedHyperParameters) - function in com.google.genai.types.SupervisedTuningSpec.Builder
Setter for hyperParameters.
hyperParameters(com.google.genai.types.SupervisedHyperParameters.Builder) - function in com.google.genai.types.SupervisedTuningSpec.Builder
Setter for hyperParameters builder.
hyperParameters() - function in com.google.genai.types.VeoTuningSpec
Optional.
hyperParameters(com.google.genai.types.VeoHyperParameters) - function in com.google.genai.types.VeoTuningSpec.Builder
Setter for hyperParameters.
hyperParameters(com.google.genai.types.VeoHyperParameters.Builder) - function in com.google.genai.types.VeoTuningSpec.Builder
Setter for hyperParameters builder.
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