Interface GenerationConfigOrBuilder (3.44.0)

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public interface GenerationConfigOrBuilder extends MessageOrBuilder

Implements

MessageOrBuilder

Methods

getCandidateCount()

public abstract int getCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The candidateCount.

getFrequencyPenalty()

public abstract float getFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The frequencyPenalty.

getMaxOutputTokens()

public abstract int getMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The maxOutputTokens.

getPresencePenalty()

public abstract float getPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The presencePenalty.

getResponseMimeType()

public abstract String getResponseMimeType()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
String	The responseMimeType.

getResponseMimeTypeBytes()

public abstract ByteString getResponseMimeTypeBytes()

Optional. Output response mimetype of the generated candidate text. Supported mimetype:

• text/plain: (default) Text output.
• application/json: JSON response in the candidates. The model needs to be prompted to output the appropriate response type, otherwise the behavior is undefined. This is a preview feature.

string response_mime_type = 13 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
ByteString	The bytes for responseMimeType.

getStopSequences(int index)

public abstract String getStopSequences(int index)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int The index of the element to return.

Returns
Type	Description
String	The stopSequences at the given index.

getStopSequencesBytes(int index)

public abstract ByteString getStopSequencesBytes(int index)

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Parameter
Name	Description
index	int The index of the value to return.

Returns
Type	Description
ByteString	The bytes of the stopSequences at the given index.

getStopSequencesCount()

public abstract int getStopSequencesCount()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
int	The count of stopSequences.

getStopSequencesList()

public abstract List<String> getStopSequencesList()

Optional. Stop sequences.

repeated string stop_sequences = 6 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
List<String>	A list containing the stopSequences.

getTemperature()

public abstract float getTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The temperature.

getTopK()

public abstract float getTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The topK.

getTopP()

public abstract float getTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
float	The topP.

hasCandidateCount()

public abstract boolean hasCandidateCount()

Optional. Number of candidates to generate.

optional int32 candidate_count = 4 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the candidateCount field is set.

hasFrequencyPenalty()

public abstract boolean hasFrequencyPenalty()

Optional. Frequency penalties.

optional float frequency_penalty = 9 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the frequencyPenalty field is set.

hasMaxOutputTokens()

public abstract boolean hasMaxOutputTokens()

Optional. The maximum number of output tokens to generate per message.

optional int32 max_output_tokens = 5 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the maxOutputTokens field is set.

hasPresencePenalty()

public abstract boolean hasPresencePenalty()

Optional. Positive penalties.

optional float presence_penalty = 8 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the presencePenalty field is set.

hasTemperature()

public abstract boolean hasTemperature()

Optional. Controls the randomness of predictions.

optional float temperature = 1 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the temperature field is set.

hasTopK()

public abstract boolean hasTopK()

Optional. If specified, top-k sampling will be used.

optional float top_k = 3 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the topK field is set.

hasTopP()

public abstract boolean hasTopP()

Optional. If specified, nucleus sampling will be used.

optional float top_p = 2 [(.google.api.field_behavior) = OPTIONAL];

Returns
Type	Description
boolean	Whether the topP field is set.