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public interface GenerationConfigOrBuilder extends MessageOrBuilderImplements
MessageOrBuilderMethods
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. |
getLogprobs()
public abstract int getLogprobs()Optional. Logit probabilities.
optional int32 logprobs = 7 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
int |
The logprobs. |
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. |
getResponseJsonSchema()
public abstract Value getResponseJsonSchema() 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$ref$anchortypeformattitledescriptionenum(for strings and numbers)itemsprefixItemsminItemsmaxItemsminimummaximumanyOfoneOf(interpreted the same asanyOf)propertiesadditionalPropertiesrequiredThe non-standard
propertyOrderingproperty 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
$refis set on a sub-schema, no other properties, except for than those starting as a$, may be set.
optional .google.protobuf.Value response_json_schema = 28 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
Value |
The responseJsonSchema. |
getResponseJsonSchemaOrBuilder()
public abstract ValueOrBuilder getResponseJsonSchemaOrBuilder() 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$ref$anchortypeformattitledescriptionenum(for strings and numbers)itemsprefixItemsminItemsmaxItemsminimummaximumanyOfoneOf(interpreted the same asanyOf)propertiesadditionalPropertiesrequiredThe non-standard
propertyOrderingproperty 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
$refis set on a sub-schema, no other properties, except for than those starting as a$, may be set.
optional .google.protobuf.Value response_json_schema = 28 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
ValueOrBuilder |
|
getResponseLogprobs()
public abstract boolean getResponseLogprobs()Optional. If true, export the logprobs results in response.
optional bool response_logprobs = 18 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
The responseLogprobs. |
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. |
getResponseSchema()
public abstract Schema getResponseSchema() Optional. 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.
If set, a compatible response_mime_type must also be set.
Compatible mimetypes:
application/json: Schema for JSON response.
optional .google.cloud.aiplatform.v1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
Schema |
The responseSchema. |
getResponseSchemaOrBuilder()
public abstract SchemaOrBuilder getResponseSchemaOrBuilder() Optional. 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.
If set, a compatible response_mime_type must also be set.
Compatible mimetypes:
application/json: Schema for JSON response.
optional .google.cloud.aiplatform.v1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
SchemaOrBuilder |
|
getRoutingConfig()
public abstract GenerationConfig.RoutingConfig getRoutingConfig()Optional. Routing configuration.
optional .google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
GenerationConfig.RoutingConfig |
The routingConfig. |
getRoutingConfigOrBuilder()
public abstract GenerationConfig.RoutingConfigOrBuilder getRoutingConfigOrBuilder()Optional. Routing configuration.
optional .google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
GenerationConfig.RoutingConfigOrBuilder |
|
getSeed()
public abstract int getSeed()Optional. Seed.
optional int32 seed = 12 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
int |
The seed. |
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 |
intThe 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 |
intThe 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. |
getThinkingConfig()
public abstract GenerationConfig.ThinkingConfig getThinkingConfig()Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
.google.cloud.aiplatform.v1.GenerationConfig.ThinkingConfig thinking_config = 25 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
GenerationConfig.ThinkingConfig |
The thinkingConfig. |
getThinkingConfigOrBuilder()
public abstract GenerationConfig.ThinkingConfigOrBuilder getThinkingConfigOrBuilder()Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
.google.cloud.aiplatform.v1.GenerationConfig.ThinkingConfig thinking_config = 25 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
GenerationConfig.ThinkingConfigOrBuilder |
|
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. |
hasLogprobs()
public abstract boolean hasLogprobs()Optional. Logit probabilities.
optional int32 logprobs = 7 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the logprobs 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. |
hasResponseJsonSchema()
public abstract boolean hasResponseJsonSchema() 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$ref$anchortypeformattitledescriptionenum(for strings and numbers)itemsprefixItemsminItemsmaxItemsminimummaximumanyOfoneOf(interpreted the same asanyOf)propertiesadditionalPropertiesrequiredThe non-standard
propertyOrderingproperty 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
$refis set on a sub-schema, no other properties, except for than those starting as a$, may be set.
optional .google.protobuf.Value response_json_schema = 28 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the responseJsonSchema field is set. |
hasResponseLogprobs()
public abstract boolean hasResponseLogprobs()Optional. If true, export the logprobs results in response.
optional bool response_logprobs = 18 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the responseLogprobs field is set. |
hasResponseSchema()
public abstract boolean hasResponseSchema() Optional. 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.
If set, a compatible response_mime_type must also be set.
Compatible mimetypes:
application/json: Schema for JSON response.
optional .google.cloud.aiplatform.v1.Schema response_schema = 16 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the responseSchema field is set. |
hasRoutingConfig()
public abstract boolean hasRoutingConfig()Optional. Routing configuration.
optional .google.cloud.aiplatform.v1.GenerationConfig.RoutingConfig routing_config = 17 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the routingConfig field is set. |
hasSeed()
public abstract boolean hasSeed()Optional. Seed.
optional int32 seed = 12 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the seed 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. |
hasThinkingConfig()
public abstract boolean hasThinkingConfig()Optional. Config for thinking features. An error will be returned if this field is set for models that don't support thinking.
.google.cloud.aiplatform.v1.GenerationConfig.ThinkingConfig thinking_config = 25 [(.google.api.field_behavior) = OPTIONAL];
| Returns | |
|---|---|
| Type | Description |
boolean |
Whether the thinkingConfig 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. |