Class PutGooglevertexaiRequest
java.lang.Object
co.elastic.clients.elasticsearch._types.RequestBase
co.elastic.clients.elasticsearch.inference.PutGooglevertexaiRequest
- All Implemented Interfaces:
JsonpSerializable
@JsonpDeserializable
public class PutGooglevertexaiRequest
extends RequestBase
implements JsonpSerializable
Create a Google Vertex AI inference endpoint.
Create an inference endpoint to perform an inference task with the
googlevertexai 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<PutGooglevertexaiRequest>Json deserializer forPutGooglevertexaiRequestEndpoint "inference.put_googlevertexai". -
Method Summary
Modifier and TypeMethodDescriptionThe chunking configuration object.final StringRequired - The unique identifier of the inference endpoint.static PutGooglevertexaiRequestvoidserialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) Serialize this object to JSON.protected voidserializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper) service()Required - The type of service supported for the specified task type.Required - Settings used to install the inference model.protected static voidSettings to configure the inference task.final GoogleVertexAITaskTypetaskType()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 forPutGooglevertexaiRequest -
_ENDPOINT
public static final Endpoint<PutGooglevertexaiRequest,PutGooglevertexaiResponse, _ENDPOINTErrorResponse> Endpoint "inference.put_googlevertexai".
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Method Details
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of
public static PutGooglevertexaiRequest of(Function<PutGooglevertexaiRequest.Builder, ObjectBuilder<PutGooglevertexaiRequest>> fn) -
chunkingSettings
The chunking configuration object.API name:
chunking_settings -
googlevertexaiInferenceId
Required - The unique identifier of the inference endpoint.API name:
googlevertexai_inference_id -
service
Required - The type of service supported for the specified task type. In this case,googlevertexai.API name:
service -
serviceSettings
Required - Settings used to install the inference model. These settings are specific to thegooglevertexaiservice.API name:
service_settings -
taskSettings
Settings to configure the inference task. These settings are specific to the task type you specified.API name:
task_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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setupPutGooglevertexaiRequestDeserializer
protected static void setupPutGooglevertexaiRequestDeserializer(ObjectDeserializer<PutGooglevertexaiRequest.Builder> op)
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