AI MCP Gateway

import chalk from 'chalk'; import * as readline from 'readline'; /** * Display escalation information when MCP needs to call another LLM */ export function displayEscalation(escalationData: { from: string; to: string; reason: string; cost?: number; }): void { console.log(chalk.cyan('\n🔄 Model Escalation:')); console.log(chalk.gray(` From: ${escalationData.from}`)); console.log(chalk.gray(` To: ${escalationData.to}`)); console.log(chalk.gray(` Reason: ${escalationData.reason}`)); if (escalationData.cost) { console.log(chalk.gray(` Additional cost: $${escalationData.cost.toFixed(4)}`)); } } /** * Prompt user for escalation confirmation */ export async function promptEscalationConfirm( currentLayer: string, suggestedLayer: string, reason: string ): Promise<boolean> { console.log(chalk.yellow('\n⚠️ Escalation Required')); console.log(chalk.dim(` Current Layer: ${currentLayer}`)); console.log(chalk.dim(` Suggested Layer: ${suggestedLayer}`)); console.log(chalk.dim(` Reason: ${reason}`)); console.log(chalk.yellow(` Note: ${suggestedLayer} is a paid tier and will incur costs.`)); const rl = readline.createInterface({ input: process.stdin, output: process.stdout }); return new Promise((resolve) => { rl.question(chalk.cyan('\nProceed with escalation? (y/n): '), (answer) => { rl.close(); const confirmed = answer.trim().toLowerCase() === 'y'; if (!confirmed) { console.log(chalk.yellow('⚠️ Escalation cancelled, using current layer result')); } resolve(confirmed); }); }); }