Package co.elastic.clients.elasticsearch.inference

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.

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	PutGoogleaistudioRequest.Builder	Builder for PutGoogleaistudioRequest.

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<PutGoogleaistudioRequest>	_DESERIALIZER	Json deserializer for PutGoogleaistudioRequest
static final Endpoint<PutGoogleaistudioRequest,PutGoogleaistudioResponse,ErrorResponse>	_ENDPOINT	Endpoint "inference.put_googleaistudio".

Method Summary

Modifier and Type	Method	Description
final InferenceChunkingSettings	chunkingSettings()	The chunking configuration object.
final String	googleaistudioInferenceId()	Required - The unique identifier of the inference endpoint.
static PutGoogleaistudioRequest	of(Function<PutGoogleaistudioRequest.Builder,ObjectBuilder<PutGoogleaistudioRequest>> 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 GoogleAiServiceType	service()	Required - The type of service supported for the specified task type.
final GoogleAiStudioServiceSettings	serviceSettings()	Required - Settings used to install the inference model.
protected static void	setupPutGoogleaistudioRequestDeserializer(ObjectDeserializer<PutGoogleaistudioRequest.Builder> op)
final GoogleAiStudioTaskType	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<PutGoogleaistudioRequest> _DESERIALIZER

Json deserializer for PutGoogleaistudioRequest

_ENDPOINT

public static final Endpoint<PutGoogleaistudioRequest,PutGoogleaistudioResponse,ErrorResponse> _ENDPOINT

Endpoint "inference.put_googleaistudio".

Method Details

of

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

chunkingSettings

@Nullable
public final InferenceChunkingSettings chunkingSettings()

The chunking configuration object.

API name: chunking_settings

googleaistudioInferenceId

public final String googleaistudioInferenceId()

Required - The unique identifier of the inference endpoint.

API name: googleaistudio_inference_id

service

public final GoogleAiServiceType service()

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

API name: service

serviceSettings

public final GoogleAiStudioServiceSettings serviceSettings()

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

API name: service_settings

taskType

public final GoogleAiStudioTaskType 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)

setupPutGoogleaistudioRequestDeserializer

protected static void setupPutGoogleaistudioRequestDeserializer(ObjectDeserializer<PutGoogleaistudioRequest.Builder> op)