mcp-subagents/dist/agents/codex.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 CodexAgent extends BaseAgent {
    buildCommand(_task, taskConfig) {
        const cmd = ['codex'];
        // Automation flags
        cmd.push('--full-auto');
        // Model selection with proper priority:
        // 1. Task config model (highest priority)
        // 2. CODEX_MODEL from task env (config file/MCP config)
        // 3. CODEX_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?.['CODEX_MODEL'] ||
            process.env['CODEX_MODEL'] ||
            this.config.defaults['model'];
        if (model) {
            cmd.push('-m', String(model));
        }
        // Sandbox mode
        if (taskConfig.sandbox) {
            cmd.push('-s', 'workspace-write');
        }
        // Working directory
        if (taskConfig.workingDirectory) {
            cmd.push('-C', taskConfig.workingDirectory);
        }
        // Use stdin instead of positional argument
        // Add custom flags (overrides defaults)
        if (taskConfig.flags && taskConfig.flags.length > 0) {
            cmd.push(...taskConfig.flags);
        }
        return this.validateCommand(cmd);
    }
    getInputMethod() {
        return 'stdin';
    }
}
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