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

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

import { readFileSync } from 'node:fs';
import { AgentledClient } from '../client.js';
import { printError, printOutput } from '../utils/output.js';
function readBranding(opts) {
    if (!opts.input && !opts.file)
        throw new Error('Provide branding JSON with --input or --file');
    if (opts.input && opts.file)
        throw new Error('Provide branding JSON with either --input or --file, not both');
    return JSON.parse(opts.file ? readFileSync(opts.file, 'utf8') : opts.input);
}
export function registerBrandingCommands(program) {
    const branding = program.command('branding').description('Manage workspace branding settings');
    branding
        .command('get')
        .description('Get workspace branding configuration')
        .option('--format <fmt>', 'Output format', 'json')
        .action(async (opts) => {
        try {
            const result = await new AgentledClient().getBranding();
            printOutput(result, opts.format);
        }
        catch (error) {
            const message = error instanceof Error ? error.message : String(error);
            printError(message);
        }
    });
    branding
        .command('update')
        .description('Update workspace branding configuration')
        .option('--input <json>', 'Branding JSON object')
        .option('--file <path>', 'Path to branding JSON file')
        .option('--format <fmt>', 'Output format', 'json')
        .action(async (opts) => {
        try {
            const result = await new AgentledClient().updateBranding(readBranding(opts));
            printOutput(result, opts.format);
        }
        catch (error) {
            const message = error instanceof Error ? error.message : String(error);
            printError(message);
        }
    });
}
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