Consult LLM MCP

import { z } from 'zod/v4' import { SupportedChatModel } from './schema.js' const Config = z.object({ openaiApiKey: z.string().optional(), geminiApiKey: z.string().optional(), deepseekApiKey: z.string().optional(), defaultModel: SupportedChatModel.optional(), geminiMode: z.enum(['api', 'cli']).default('api'), openaiMode: z.enum(['api', 'cli']).default('api'), codexReasoningEffort: z .enum(['none', 'minimal', 'low', 'medium', 'high', 'xhigh']) .optional(), }) export type Config = z.infer<typeof Config> const parsedConfig = Config.safeParse({ openaiApiKey: process.env.OPENAI_API_KEY, geminiApiKey: process.env.GEMINI_API_KEY, deepseekApiKey: process.env.DEEPSEEK_API_KEY, defaultModel: process.env.CONSULT_LLM_DEFAULT_MODEL, geminiMode: process.env.GEMINI_MODE, openaiMode: process.env.OPENAI_MODE, codexReasoningEffort: process.env.CODEX_REASONING_EFFORT, }) if (!parsedConfig.success) { console.error('❌ Invalid environment variables:') for (const issue of parsedConfig.error.issues) { console.error(` ${issue.path.join('.')}: ${issue.message}`) } process.exit(1) } export const config = parsedConfig.data