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Jlama: A modern LLM inference engine for Java

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/*
 * Copyright 2024 T Jake Luciani
 *
 * The Jlama Project 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.github.tjake.jlama.cli.commands;

import static com.github.tjake.jlama.model.ModelSupport.loadModel;

import com.github.tjake.jlama.model.AbstractModel;
import com.github.tjake.jlama.safetensors.prompt.PromptContext;

import java.nio.file.Path;
import java.util.Optional;
import java.util.UUID;

import picocli.CommandLine.*;

@Command(name = "complete", description = "Completes a prompt using the specified model", abbreviateSynopsis = true)
public class CompleteCommand extends ModelBaseCommand {

    @Option(names = { "--prompt" }, description = "Text to complete", required = true)
    protected String prompt;

    @Override
    public void run() {
        Path modelPath = SimpleBaseCommand.getModel(
            modelName,
            modelDirectory,
            downloadSection.autoDownload,
            downloadSection.branch,
            downloadSection.authToken
        );

        AbstractModel m = loadModel(
            modelPath.toFile(),
            workingDirectory,
            advancedSection.workingMemoryType,
            advancedSection.workingQuantizationType,
            Optional.ofNullable(advancedSection.modelQuantization),
            Optional.ofNullable(advancedSection.threadCount)
        );

        m.generate(UUID.randomUUID(), PromptContext.of(prompt), temperature, tokens, makeOutHandler());
    }
}