Package co.elastic.clients.elasticsearch.inference

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.

When you create an inference endpoint, the associated machine learning model is automatically deployed if it is not already running. After creating the endpoint, wait for the model deployment to complete before using it. To verify the deployment status, use the get trained model statistics API. Look for "state": "fully_allocated" in the response and ensure that the "allocation_count" matches the "target_allocation_count". Avoid creating multiple endpoints for the same model unless required, as each endpoint consumes significant resources.

See Also:

• API specification

Nested Class Summary

Nested Classes

Modifier and Type	Class	Description
static class	PutGooglevertexaiRequest.Builder	Builder for PutGooglevertexaiRequest.

Nested classes/interfaces inherited from class co.elastic.clients.elasticsearch._types.RequestBase

RequestBase.AbstractBuilder<BuilderT extends RequestBase.AbstractBuilder<BuilderT>>

Field Summary

Fields

Modifier and Type	Field	Description
static final JsonpDeserializer<PutGooglevertexaiRequest>	_DESERIALIZER	Json deserializer for PutGooglevertexaiRequest
static final Endpoint<PutGooglevertexaiRequest,PutGooglevertexaiResponse,ErrorResponse>	_ENDPOINT	Endpoint "inference.put_googlevertexai".

Method Summary

Modifier and Type	Method	Description
final InferenceChunkingSettings	chunkingSettings()	The chunking configuration object.
final String	googlevertexaiInferenceId()	Required - The unique identifier of the inference endpoint.
static PutGooglevertexaiRequest	of(Function<PutGooglevertexaiRequest.Builder,ObjectBuilder<PutGooglevertexaiRequest>> fn)
void	serialize(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)	Serialize this object to JSON.
protected void	serializeInternal(jakarta.json.stream.JsonGenerator generator, JsonpMapper mapper)
final GoogleVertexAIServiceType	service()	Required - The type of service supported for the specified task type.
final GoogleVertexAIServiceSettings	serviceSettings()	Required - Settings used to install the inference model.
protected static void	setupPutGooglevertexaiRequestDeserializer(ObjectDeserializer<PutGooglevertexaiRequest.Builder> op)
final GoogleVertexAITaskSettings	taskSettings()	Settings to configure the inference task.
final GoogleVertexAITaskType	taskType()	Required - The type of the inference task that the model will perform.

Methods inherited from class co.elastic.clients.elasticsearch._types.RequestBase

toString

Methods inherited from class java.lang.Object

clone, equals, finalize, getClass, hashCode, notify, notifyAll, wait, wait, wait

Field Details

_DESERIALIZER

public static final JsonpDeserializer<PutGooglevertexaiRequest> _DESERIALIZER

Json deserializer for PutGooglevertexaiRequest

_ENDPOINT

public static final Endpoint<PutGooglevertexaiRequest,PutGooglevertexaiResponse,ErrorResponse> _ENDPOINT

Endpoint "inference.put_googlevertexai".

Method Details

of

public static PutGooglevertexaiRequest of(Function<PutGooglevertexaiRequest.Builder,ObjectBuilder<PutGooglevertexaiRequest>> fn)

chunkingSettings

@Nullable
public final InferenceChunkingSettings chunkingSettings()

The chunking configuration object.

API name: chunking_settings

googlevertexaiInferenceId

public final String googlevertexaiInferenceId()

Required - The unique identifier of the inference endpoint.

API name: googlevertexai_inference_id

service

public final GoogleVertexAIServiceType service()

Required - The type of service supported for the specified task type. In this case, googlevertexai.

API name: service

serviceSettings

public final GoogleVertexAIServiceSettings serviceSettings()

Required - Settings used to install the inference model. These settings are specific to the googlevertexai service.

API name: service_settings

taskSettings

@Nullable
public final GoogleVertexAITaskSettings taskSettings()

Settings to configure the inference task. These settings are specific to the task type you specified.

API name: task_settings

taskType

public final GoogleVertexAITaskType taskType()

Required - The type of the inference task that the model will perform.

API name: task_type

serialize

public void serialize(jakarta.json.stream.JsonGenerator generator,
 JsonpMapper mapper)

Serialize this object to JSON.

Specified by:

serialize in interface JsonpSerializable

serializeInternal

protected void serializeInternal(jakarta.json.stream.JsonGenerator generator,
 JsonpMapper mapper)

setupPutGooglevertexaiRequestDeserializer

protected static void setupPutGooglevertexaiRequestDeserializer(ObjectDeserializer<PutGooglevertexaiRequest.Builder> op)