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

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

/**
 * `agentled chat` — Conversational interface to Agentled.
 *
 * Send a message and get a response from the Agentled AI assistant.
 * Optionally continue a conversation with --session-id.
 *
 * Examples:
 *   agentled chat "List my workflows"
 *   agentled chat "Create a workflow that enriches companies" --session-id abc123
 *   agentled chat-result external-chat-turn-123
 */
import { AgentledClient } from '../client.js';
import { printOutput, printError } from '../utils/output.js';
export function registerChatCommands(program) {
    program
        .command('chat <message>')
        .description('Send a message to the Agentled AI assistant; monitor any started workflow separately until terminal')
        .option('--session-id <id>', 'Continue an existing chat session')
        .option('--format <fmt>', 'Output format: json, table, minimal', 'json')
        .action(async (message, opts) => {
        try {
            const client = new AgentledClient();
            if (!client.isAuthenticated) {
                printError('Not authenticated. Run "agentled auth login" or set AGENTLED_API_KEY.');
                return;
            }
            const result = await client.chat(message, opts.sessionId);
            printOutput(result, opts.format);
        }
        catch (e) {
            printError(e.message);
        }
    });
    program
        .command('chat-result <turnId>')
        .description('Get a durable chat turn result; a completed turn may still hand off to a running workflow')
        .option('--format <fmt>', 'Output format: json, table, minimal', 'json')
        .action(async (turnId, opts) => {
        try {
            const client = new AgentledClient();
            if (!client.isAuthenticated) {
                printError('Not authenticated. Run "agentled auth login" or set AGENTLED_API_KEY.');
                return;
            }
            const result = await client.getChatTurnResult(turnId);
            printOutput(result, opts.format);
        }
        catch (e) {
            printError(e.message);
        }
    });
}
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