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/*
* Licensed to Elasticsearch B.V. under one or more contributor
* license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright
* ownership. Elasticsearch B.V. licenses this file to you under
* the Apache License, Version 2.0 (the "License"); you may
* not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
package co.elastic.clients.elasticsearch.inference;
import co.elastic.clients.json.JsonpDeserializable;
import co.elastic.clients.json.JsonpDeserializer;
import co.elastic.clients.json.JsonpMapper;
import co.elastic.clients.json.JsonpSerializable;
import co.elastic.clients.json.JsonpUtils;
import co.elastic.clients.json.ObjectBuilderDeserializer;
import co.elastic.clients.json.ObjectDeserializer;
import co.elastic.clients.util.ApiTypeHelper;
import co.elastic.clients.util.ObjectBuilder;
import co.elastic.clients.util.WithJsonObjectBuilderBase;
import jakarta.json.stream.JsonGenerator;
import java.lang.Float;
import java.lang.Integer;
import java.util.Objects;
import java.util.function.Function;
import javax.annotation.Nullable;
//----------------------------------------------------------------
// THIS CODE IS GENERATED. MANUAL EDITS WILL BE LOST.
//----------------------------------------------------------------
//
// This code is generated from the Elasticsearch API specification
// at https://github.com/elastic/elasticsearch-specification
//
// Manual updates to this file will be lost when the code is
// re-generated.
//
// If you find a property that is missing or wrongly typed, please
// open an issue or a PR on the API specification repository.
//
//----------------------------------------------------------------
// typedef: inference._types.AnthropicTaskSettings
/**
*
* @see API
* specification
*/
@JsonpDeserializable
public class AnthropicTaskSettings implements JsonpSerializable {
private final int maxTokens;
@Nullable
private final Float temperature;
@Nullable
private final Integer topK;
@Nullable
private final Float topP;
// ---------------------------------------------------------------------------------------------
private AnthropicTaskSettings(Builder builder) {
this.maxTokens = ApiTypeHelper.requireNonNull(builder.maxTokens, this, "maxTokens", 0);
this.temperature = builder.temperature;
this.topK = builder.topK;
this.topP = builder.topP;
}
public static AnthropicTaskSettings of(Function> fn) {
return fn.apply(new Builder()).build();
}
/**
* Required - For a completion
task, it is the maximum number of
* tokens to generate before stopping.
*
* API name: {@code max_tokens}
*/
public final int maxTokens() {
return this.maxTokens;
}
/**
* For a completion
task, it is the amount of randomness injected
* into the response. For more details about the supported range, refer to
* Anthropic documentation.
*
* API name: {@code temperature}
*/
@Nullable
public final Float temperature() {
return this.temperature;
}
/**
* For a completion
task, it specifies to only sample from the top
* K options for each subsequent token. It is recommended for advanced use cases
* only. You usually only need to use temperature
.
*
* API name: {@code top_k}
*/
@Nullable
public final Integer topK() {
return this.topK;
}
/**
* For a completion
task, it specifies to use Anthropic's nucleus
* sampling. In nucleus sampling, Anthropic computes the cumulative distribution
* over all the options for each subsequent token in decreasing probability
* order and cuts it off once it reaches the specified probability. You should
* either alter temperature
or top_p
, but not both. It
* is recommended for advanced use cases only. You usually only need to use
* temperature
.
*
* API name: {@code top_p}
*/
@Nullable
public final Float topP() {
return this.topP;
}
/**
* Serialize this object to JSON.
*/
public void serialize(JsonGenerator generator, JsonpMapper mapper) {
generator.writeStartObject();
serializeInternal(generator, mapper);
generator.writeEnd();
}
protected void serializeInternal(JsonGenerator generator, JsonpMapper mapper) {
generator.writeKey("max_tokens");
generator.write(this.maxTokens);
if (this.temperature != null) {
generator.writeKey("temperature");
generator.write(this.temperature);
}
if (this.topK != null) {
generator.writeKey("top_k");
generator.write(this.topK);
}
if (this.topP != null) {
generator.writeKey("top_p");
generator.write(this.topP);
}
}
@Override
public String toString() {
return JsonpUtils.toString(this);
}
// ---------------------------------------------------------------------------------------------
/**
* Builder for {@link AnthropicTaskSettings}.
*/
public static class Builder extends WithJsonObjectBuilderBase
implements
ObjectBuilder {
private Integer maxTokens;
@Nullable
private Float temperature;
@Nullable
private Integer topK;
@Nullable
private Float topP;
/**
* Required - For a completion
task, it is the maximum number of
* tokens to generate before stopping.
*
* API name: {@code max_tokens}
*/
public final Builder maxTokens(int value) {
this.maxTokens = value;
return this;
}
/**
* For a completion
task, it is the amount of randomness injected
* into the response. For more details about the supported range, refer to
* Anthropic documentation.
*
* API name: {@code temperature}
*/
public final Builder temperature(@Nullable Float value) {
this.temperature = value;
return this;
}
/**
* For a completion
task, it specifies to only sample from the top
* K options for each subsequent token. It is recommended for advanced use cases
* only. You usually only need to use temperature
.
*
* API name: {@code top_k}
*/
public final Builder topK(@Nullable Integer value) {
this.topK = value;
return this;
}
/**
* For a completion
task, it specifies to use Anthropic's nucleus
* sampling. In nucleus sampling, Anthropic computes the cumulative distribution
* over all the options for each subsequent token in decreasing probability
* order and cuts it off once it reaches the specified probability. You should
* either alter temperature
or top_p
, but not both. It
* is recommended for advanced use cases only. You usually only need to use
* temperature
.
*
* API name: {@code top_p}
*/
public final Builder topP(@Nullable Float value) {
this.topP = value;
return this;
}
@Override
protected Builder self() {
return this;
}
/**
* Builds a {@link AnthropicTaskSettings}.
*
* @throws NullPointerException
* if some of the required fields are null.
*/
public AnthropicTaskSettings build() {
_checkSingleUse();
return new AnthropicTaskSettings(this);
}
}
// ---------------------------------------------------------------------------------------------
/**
* Json deserializer for {@link AnthropicTaskSettings}
*/
public static final JsonpDeserializer _DESERIALIZER = ObjectBuilderDeserializer
.lazy(Builder::new, AnthropicTaskSettings::setupAnthropicTaskSettingsDeserializer);
protected static void setupAnthropicTaskSettingsDeserializer(ObjectDeserializer op) {
op.add(Builder::maxTokens, JsonpDeserializer.integerDeserializer(), "max_tokens");
op.add(Builder::temperature, JsonpDeserializer.floatDeserializer(), "temperature");
op.add(Builder::topK, JsonpDeserializer.integerDeserializer(), "top_k");
op.add(Builder::topP, JsonpDeserializer.floatDeserializer(), "top_p");
}
}