skybridge

import { createSkybridgeApp, defineSkill, AppContext } from 'skybridge'; import express from 'express'; // 1. Define an AI skill that can be invoked by the AI agent. // This skill retrieves the current time for a specified timezone. const timeSkill = defineSkill({ name: 'getCurrentTime', description: 'Gets the current time in a specified timezone.', parameters: { type: 'object', properties: { timezone: { type: 'string', description: 'The IANA timezone string (e.g., "America/New_York")', }, }, required: ['timezone'], }, handler: async ({ timezone }: { timezone: string }, context: AppContext) => { try { const now = new Date().toLocaleString('en-US', { timeZone: timezone }); context.logger.info(`Requested time for ${timezone}: ${now}`); return { time: now }; } catch (error: any) { context.logger.error(`Failed to get time for ${timezone}: ${error.message}`); return { error: `Invalid timezone or internal error: ${error.message}` }; } }, }); // 2. Create and configure a Skybridge application instance. // This instance will register the defined skills and expose necessary endpoints. const app = createSkybridgeApp({ skills: [timeSkill], // Further configurations can be added here, such as authentication, integrations, etc. }); // 3. Integrate the Skybridge app handler with an Express.js server. // Skybridge applications typically run on Node.js and can leverage Express. const expressApp = express(); expressApp.use('/api/skybridge', app.handler()); // 4. Start the Express server to host the Skybridge application. const PORT = process.env.PORT || 3000; expressApp.listen(PORT, () => { console.log(`Skybridge app server listening on port ${PORT}`); console.log(`Access AI agent endpoints at http://localhost:${PORT}/api/skybridge`); console.log(`Configure your AI agent to use this endpoint for skill invocation.`); });