@agentled/cli/dist/commands/apps.js

CLI for Agentled — manage workflows, apps, and knowledge from the command line. Zero context-window cost for AI agents.

import { AgentledClient } from '../client.js';
import { printOutput, printError } from '../utils/output.js';
export function registerAppCommands(program) {
    const apps = program
        .command('apps')
        .description('Discover apps and test actions');
    apps
        .command('list')
        .description('List available apps and integrations')
        .option('--format <fmt>', 'Output format', 'json')
        .action(async (opts) => {
        try {
            const client = new AgentledClient();
            const result = await client.listApps();
            printOutput(result, opts.format);
        }
        catch (e) {
            printError(e.message);
        }
    });
    apps
        .command('actions <appId>')
        .description('Get action schemas for an app')
        .option('--format <fmt>', 'Output format', 'json')
        .action(async (appId, opts) => {
        try {
            const client = new AgentledClient();
            const result = await client.getAppActions(appId);
            printOutput(result, opts.format);
        }
        catch (e) {
            printError(e.message);
        }
    });
    apps
        .command('test <appId> <actionId>')
        .description('Test an app action with sample input')
        .option('--input <json>', 'Input data as JSON')
        .option('--bypass-cache', 'Bypass cached results')
        .option('--format <fmt>', 'Output format', 'json')
        .action(async (appId, actionId, opts) => {
        try {
            const input = opts.input ? JSON.parse(opts.input) : undefined;
            const client = new AgentledClient();
            const result = await client.testAppAction(appId, actionId, input, opts.bypassCache);
            printOutput(result, opts.format);
        }
        catch (e) {
            printError(e.message);
        }
    });
}
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