mcp-subagents/dist/agents/goose.js

Multi-Agent AI Orchestration via Model Context Protocol - Access specialized CLI AI agents (Aider, Qwen, Gemini, Goose, etc.) with intelligent fallback and configuration

import { BaseAgent } from './base.js';
export class GooseAgent extends BaseAgent {
    buildCommand(_task, taskConfig) {
        const cmd = ['goose', 'run'];
        // Use stdin with -i - flag
        cmd.push('-i', '-');
        // Get custom flags to check for duplicates
        const customFlags = taskConfig.flags || [];
        // Add quiet mode only if not already specified
        if (!customFlags.includes('--quiet')) {
            cmd.push('--quiet');
        }
        // Model selection with proper priority:
        // 1. Task config model (highest priority)
        // 2. GOOSE_MODEL from task env (config file/MCP config)
        // 3. GOOSE_MODEL from process env (system environment)
        // 4. Config file model (from this.config.defaults)
        // 5. Built-in default (lowest priority, handled in registry)
        const model = taskConfig.model ||
            taskConfig.env?.['GOOSE_MODEL'] ||
            process.env['GOOSE_MODEL'] ||
            this.config.defaults['model'];
        if (model) {
            cmd.push('--model', String(model));
        }
        // Add no-session only if not already specified
        if (!customFlags.includes('--no-session')) {
            cmd.push('--no-session');
        }
        // Add custom flags
        if (customFlags.length > 0) {
            cmd.push(...customFlags);
        }
        return this.validateCommand(cmd);
    }
    getInputMethod() {
        return 'stdin';
    }
}
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