mcp-subagents/dist/agents/gemini.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 GeminiAgent extends BaseAgent {
    buildCommand(_task, taskConfig) {
        const cmd = ['gemini', '-y'];
        // Get custom flags to check for duplicates
        const customFlags = taskConfig.flags || [];
        // Only add internal model if no model flags are in custom flags
        const hasModelFlag = customFlags.some(flag => flag === '--model' || flag === '-m' || flag.startsWith('--model=') || flag.startsWith('-m='));
        if (!hasModelFlag) {
            // Model selection with proper priority:
            // 1. Task config model (highest priority)
            // 2. GEMINI_MODEL from task env (config file/MCP config)
            // 3. GEMINI_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?.['GEMINI_MODEL'] ||
                process.env['GEMINI_MODEL'] ||
                this.config.defaults['model'];
            if (model) {
                cmd.push('-m', String(model));
            }
        }
        if (taskConfig.sandbox) {
            cmd.push('-s');
        }
        // 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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