humanifyjs/dist/src/commands/local.js

> Deobfuscate Javascript code using LLMs ("AI")

import { cli } from "../cli.js";
import { llama } from "../plugins/local-llm-rename/llama.js";
import { DEFAULT_MODEL } from "../local-models.js";
import { unminify } from "../unminify.js";
import prettier from "../plugins/prettier.js";
import babel from "../plugins/babel/babel.js";
import { localReanme } from "../plugins/local-llm-rename/local-llm-rename.js";
import { verbose } from "../verbose.js";
export const local = cli()
    .name("local")
    .description("Use a local LLM to unminify code")
    .showHelpAfterError(true)
    .option("-m, --model <model>", "The model to use", DEFAULT_MODEL)
    .option("-o, --outputDir <output>", "The output directory", "output")
    .option("-s, --seed <seed>", "Seed for the model to get reproduceable results (leave out for random seed)")
    .option("--disableGpu", "Disable GPU acceleration")
    .option("--verbose", "Show verbose output")
    .argument("input", "The input minified Javascript file")
    .action(async (filename, opts) => {
    if (opts.verbose) {
        verbose.enabled = true;
    }
    verbose.log("Starting local inference with options: ", opts);
    const prompt = await llama({
        model: opts.model,
        disableGpu: opts.disableGpu,
        seed: opts.seed ? parseInt(opts.seed) : undefined
    });
    await unminify(filename, opts.outputDir, [
        babel,
        localReanme(prompt),
        prettier
    ]);
});