Class PutGoogleaistudioRequest
java.lang.Object
co.elastic.clients.elasticsearch._types.RequestBase
co.elastic.clients.elasticsearch.inference.PutGoogleaistudioRequest
- All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class PutGoogleaistudioRequest
extends RequestBase
implements JsonpSerializable
Create an Google AI Studio inference endpoint.
Create an inference endpoint to perform an inference task with the
googleaistudio service.
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Nested Class Summary
Nested ClassesNested classes/interfaces inherited from class co.elastic.clients.elasticsearch._types.RequestBase
RequestBase.AbstractBuilder<BuilderT extends RequestBase.AbstractBuilder<BuilderT>> -
Field Summary
FieldsModifier and TypeFieldDescriptionstatic final JsonpDeserializer<PutGoogleaistudioRequest>Json deserializer forPutGoogleaistudioRequestEndpoint "inference.put_googleaistudio". -
Method Summary
Modifier and TypeMethodDescriptionThe chunking configuration object.final StringRequired - The unique identifier of the inference endpoint.static PutGoogleaistudioRequestvoidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) final GoogleAiServiceTypeservice()Required - The type of service supported for the specified task type.Required - Settings used to install the inference model.protected static voidfinal GoogleAiStudioTaskTypetaskType()Required - The type of the inference task that the model will perform.final Timetimeout()Specifies the amount of time to wait for the inference endpoint to be created.Methods inherited from class co.elastic.clients.elasticsearch._types.RequestBase
toString
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Field Details
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_DESERIALIZER
Json deserializer forPutGoogleaistudioRequest -
_ENDPOINT
public static final Endpoint<PutGoogleaistudioRequest,PutGoogleaistudioResponse, _ENDPOINTErrorResponse> Endpoint "inference.put_googleaistudio".
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Method Details
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of
public static PutGoogleaistudioRequest of(Function<PutGoogleaistudioRequest.Builder, ObjectBuilder<PutGoogleaistudioRequest>> fn) -
chunkingSettings
The chunking configuration object.API name:
chunking_settings -
googleaistudioInferenceId
Required - The unique identifier of the inference endpoint.API name:
googleaistudio_inference_id -
service
Required - The type of service supported for the specified task type. In this case,googleaistudio.API name:
service -
serviceSettings
Required - Settings used to install the inference model. These settings are specific to thegoogleaistudioservice.API name:
service_settings -
taskType
Required - The type of the inference task that the model will perform.API name:
task_type -
timeout
Specifies the amount of time to wait for the inference endpoint to be created.API name:
timeout -
serialize
Serialize this object to JSON.- Specified by:
serializein interfaceJsonpSerializable
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serializeInternal
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setupPutGoogleaistudioRequestDeserializer
protected static void setupPutGoogleaistudioRequestDeserializer(ObjectDeserializer<PutGoogleaistudioRequest.Builder> op)
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