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taskforce-aiagent

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TaskForce is a modular, open-source, production-ready TypeScript agent framework for orchestrating AI agents, LLM-powered autonomous agents, task pipelines, dynamic toolchains, RAG workflows and memory/retrieval systems.

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"use strict"; var __importDefault = (this && this.__importDefault) || function (mod) { return (mod && mod.__esModule) ? mod : { "default": mod }; }; Object.defineProperty(exports, "__esModule", { value: true }); exports.defaultTrainingPath = defaultTrainingPath; exports.trainAgent = trainAgent; exports.loadTraining = loadTraining; const fs_1 = __importDefault(require("fs")); const path_1 = __importDefault(require("path")); const DEFAULT_TRAINED_AGENT_DIR = "trainings"; function defaultTrainingPath(agentName) { return path_1.default.join(process.cwd(), DEFAULT_TRAINED_AGENT_DIR, `${agentName.replace(/\s+/g, "_").toLowerCase()}_trained.json`); } async function trainAgent(agent, trainingExamples, outputPath) { const suggestions = trainingExamples.flatMap((e) => e.humanFeedback ? [`Improve based on: ${e.humanFeedback}`] : []); const quality = 8.5; // Placeholder for actual evaluation logic const final_summary = `Trained on ${trainingExamples.length} feedback examples.`; const trainingResult = { suggestions, quality, final_summary, }; const outPath = outputPath || defaultTrainingPath(agent.name); fs_1.default.writeFileSync(outPath, JSON.stringify(trainingResult, null, 2), "utf-8"); console.log(`✅ Trained data saved for agent ${agent.name}${outPath}`); } function loadTraining(agentName) { const pathToFile = defaultTrainingPath(agentName); if (!fs_1.default.existsSync(pathToFile)) return null; const raw = fs_1.default.readFileSync(pathToFile, "utf-8"); return JSON.parse(raw); }