com.hw.langchain.examples.chains.LlmChainExample Maven / Gradle / Ivy

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/*
 * Licensed to the Apache Software Foundation (ASF) under one
 * or more contributor license agreements.  See the NOTICE file
 * distributed with this work for additional information
 * regarding copyright ownership.  The ASF 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 com.hw.langchain.examples.chains;

import com.hw.langchain.chains.llm.LLMChain;
import com.hw.langchain.examples.runner.RunnableExample;
import com.hw.langchain.llms.openai.OpenAI;
import com.hw.langchain.prompts.prompt.PromptTemplate;

import static com.hw.langchain.examples.utils.PrintUtils.println;

/**
 * @author HamaWhite
 */
@RunnableExample
public class LlmChainExample {

    public static void main(String[] args) {
        var llm = OpenAI.builder()
                .temperature(0.9f)
                .build()
                .init();

        var prompt = PromptTemplate.fromTemplate("What is a good name for a company that makes {product}?");

        var chain = new LLMChain(llm, prompt);
        var result = chain.run("colorful socks");
        println(result);
    }
}