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CLI ToolsMay 13, 2026·2 min de lecture

LLxprt Code — Multi-Provider AI Coding CLI

LLxprt Code is an open-source AI coding CLI that switches across providers (Anthropic, Gemini, Codex, local). Install via brew or npm.

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Cet actif est d'abord staged. Le prompt copié demande à l'agent d'inspecter les fichiers staged avant d'activer scripts, config MCP ou config globale.

Stage only · 17/100Policy : staging
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Type
CLI Tool
Installation
Stage only
Confiance
Confiance : Established
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Asset
Commande de staging sûr
npx -y tokrepo@latest install 5dd7868f-2b86-555e-b417-6841b45ea0c1 --target codex

Stage les fichiers d'abord; l'activation exige la revue du README et du plan staged.

Introduction

LLxprt Code is an open-source AI coding CLI that switches across providers (Anthropic, Gemini, Codex, local). Install via brew or npm.

Best for: Terminal-first developers who want one CLI for multiple LLM providers

Works with: Node.js 20+ (npm path) or Homebrew, multiple provider auth flows

Setup time: 5-12 minutes

Key facts (verified)

  • GitHub: 673 stars · 89 forks · pushed 2026-05-13.
  • License: Apache-2.0 · owner avatar + repo URL verified via GitHub API.
  • README-verified entrypoint: npm install -g @vybestack/llxprt-code.

Main

  • Pick your provider strategy first: use free tiers (Gemini/Qwen), OAuth for subscriptions (Claude/Codex), or point to a local OpenAI-compatible base URL.

  • Use non-interactive mode for automation (CI scripts) and interactive REPL for exploratory coding and refactors.

  • When you need tools, connect external MCP integrations (README notes MCP support) and keep secrets in provider-specific configs.

Source-backed notes

  • README shows provider commands like /auth + /provider + /model for Gemini/Qwen/Anthropic/Codex.
  • README includes install options via Homebrew and npm (npm install -g @vybestack/llxprt-code) and a no-install npx example.
  • README describes both interactive REPL workflows and non-interactive single-command mode for automation.

FAQ

  • Do I have to use one provider?: No — README is built around switching providers and models per session.
  • Is it only interactive?: No — README shows non-interactive mode for scripted usage and CI-style automation.
  • Can I use it with local models?: Yes — README mentions local providers (LM Studio/llama.cpp/Ollama) and OpenAI-compatible base URLs.
🙏

Source et remerciements

Source: https://github.com/vybestack/llxprt-code > License: Apache-2.0 > GitHub stars: 673 · forks: 89

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