#!/usr/bin/env node const path = require("path"); const fs = require("fs"); const os = require("os"); async function main() { const [agentName, agentFunc, rawData] = parseArgv("run-agent.js"); const agentData = parseRawData(rawData); const rootDir = path.resolve(__dirname, ".."); setupEnv(rootDir, agentName); const agentToolsPath = path.resolve(rootDir, `agents/${agentName}/tools.js`); await run(agentToolsPath, agentFunc, agentData); } function parseArgv(thisFileName) { let agentName = process.argv[1]; let agentFunc = ""; let agentData = null; if (agentName.endsWith(thisFileName)) { agentName = process.argv[2]; agentFunc = process.argv[3]; agentData = process.argv[4]; } else { agentName = path.basename(agentName); agentFunc = process.argv[2]; agentData = process.argv[3]; } if (agentName.endsWith(".js")) { agentName = agentName.slice(0, -3); } return [agentName, agentFunc, agentData]; } function parseRawData(data) { if (!data) { throw new Error("No JSON data"); } try { return JSON.parse(data); } catch { throw new Error("Invalid JSON data"); } } function setupEnv(rootDir, agentName) { loadEnv(path.resolve(rootDir, ".env")); process.env["LLM_ROOT_DIR"] = rootDir; process.env["LLM_AGENT_NAME"] = agentName; process.env["LLM_AGENT_ROOT_DIR"] = path.resolve( rootDir, "agents", agentName, ); process.env["LLM_AGENT_CACHE_DIR"] = path.resolve( rootDir, "cache", agentName, ); } function loadEnv(filePath) { try { const data = fs.readFileSync(filePath, "utf-8"); const lines = data.split("\n"); lines.forEach((line) => { if (line.trim().startsWith("#") || line.trim() === "") return; const [key, ...value] = line.split("="); process.env[key.trim()] = value.join("=").trim(); }); } catch {} } async function run(agentPath, agentFunc, agentData) { let mod; if (os.platform() === "win32") { agentPath = `file://${agentPath}`; } try { mod = await import(agentPath); } catch { throw new Error(`Unable to load agent tools at '${agentPath}'`); } if (!mod || !mod[agentFunc]) { throw new Error(`Not module function '${agentFunc}' at '${agentPath}'`); } const value = await mod[agentFunc](agentData); returnToLLM(value); } function returnToLLM(value) { if (value === null || value === undefined) { return; } let writer = process.stdout; if (process.env["LLM_OUTPUT"]) { writer = fs.createWriteStream(process.env["LLM_OUTPUT"]); } const type = typeof value; if (type === "string" || type === "number" || type === "boolean") { writer.write(value); } else if (type === "object") { const proto = Object.prototype.toString.call(value); if (proto === "[object Object]" || proto === "[object Array]") { const valueStr = JSON.stringify(value, null, 2); require("assert").deepStrictEqual(value, JSON.parse(valueStr)); writer.write(valueStr); } } } main();