Expose Shuru sandbox configuration beyond the simple on/off toggle. Settings (allowNet, allowedHosts, ports, cpus, memory, diskSize, secrets, checkpoint) flow from CLI flags / saved settings through Agent, sub-agents, and background delegations into wrapCommandForShuru. The TUI /sandbox panel is replaced with a unified settings modal using arrow left/right for toggles and inline editing for text fields. Adds --allow-net, --allow-host, and --port CLI flags and a README section on sandbox support.
329 lines
11 KiB
Markdown
329 lines
11 KiB
Markdown
# There are many coding agents. **This is Grok’s.**
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[](https://github.com/superagent-ai/grok-cli/actions/workflows/typecheck.yml)
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[](https://www.npmjs.com/package/grok-dev)
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[](./LICENSE)
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[](https://www.typescriptlang.org/)
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[](https://bun.sh/)
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The rest borrowed from each other. We borrowed from *all of them*, then wired it to **Grok**—real-time **X search**, **web search**, **`grok-code-fast-1`** and the full Grok model lineup, **sub-agents on by default**, **remote control via Telegram** (pair once, drive the agent from your phone while the CLI runs), and a terminal UI that doesn’t feel like it was assembled in a hurry.
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Open source. Terminal-native. Built with **Bun** and **OpenTUI**. If you want vibes *and* velocity, you’re in the right repo.
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Community-built and unofficial. This project is not affiliated with or endorsed by xAI, and it is not the official Grok CLI.
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https://github.com/user-attachments/assets/7ca4f6df-50ca-4e9c-91b2-d4abad5c66cb
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---
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## Install
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```bash
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npm i -g grok-dev
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```
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The CLI binary is **`grok`** (yes, the package name and the command differ—deal with it).
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**Prerequisites:** Node 18+ (for the global install), a **Grok API key** from [x.ai](https://x.ai), and a modern terminal emulator for the interactive OpenTUI experience. Headless `--prompt` mode does not depend on terminal UI support.
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---
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## Run it
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**Interactive (default)** — launches the OpenTUI coding agent:
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```bash
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grok
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```
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### Supported terminals
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For the most reliable interactive OpenTUI experience, use a modern terminal emulator. We currently document and recommend:
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- **WezTerm** (cross-platform)
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- **Alacritty** (cross-platform)
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- **Ghostty** (macOS and Linux)
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- **Kitty** (macOS and Linux)
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Other modern terminals may work, but these are the terminal apps we currently recommend and document for interactive use.
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**Pick a project directory:**
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```bash
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grok -d /path/to/your/repo
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```
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**Headless** — one prompt, then exit (scripts, CI, automation):
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```bash
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grok --prompt "run the test suite and summarize failures"
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grok -p "show me package.json" --directory /path/to/project
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grok --prompt "refactor X" --max-tool-rounds 30
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grok --prompt "summarize the repo state" --format json
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```
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**Continue a saved session:**
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```bash
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grok --session latest
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grok -s <session-id>
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```
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Works in interactive mode too—same flag.
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**Structured headless output:**
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```bash
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grok --prompt "summarize the repo state" --format json
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```
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`--format json` emits a newline-delimited JSON event stream instead of the
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default human-readable text output. Events are semantic, step-level records such
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as `step_start`, `text`, `tool_use`, `step_finish`, and `error`.
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### Scheduling
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Schedules let Grok run a headless prompt on a recurring schedule or once. Ask
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for it in natural language, for example:
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```text
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Create a schedule named daily-changelog-update that runs every weekday at 9am
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and updates CHANGELOG.md from the latest merged commits.
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```
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Recurring schedules require the background daemon:
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```bash
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grok daemon --background
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```
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Use `/schedule` in the TUI to browse saved schedules. One-time schedules start
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immediately in the background; recurring schedules keep running as long as the
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daemon is active.
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**List Grok models and pricing hints:**
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```bash
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grok models
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```
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**Pass an opening message without another prompt:**
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```bash
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grok fix the flaky test in src/foo.test.ts
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```
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**Generate images or short videos from chat:**
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```bash
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grok "Generate a retro-futuristic logo for my CLI called Grok Forge"
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grok "Edit ./assets/hero.png into a watercolor poster"
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grok "Animate ./assets/cover.jpg into a 6 second cinematic push-in"
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```
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Image and video generation are exposed as agent tools inside normal chat sessions.
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You keep using a text model for the session, and Grok saves generated media under
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`.grok/generated-media/` by default unless you ask for a specific output path.
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---
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## What you actually get
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| Thing | What it means |
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|--------|----------------|
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| **Grok-native** | Defaults tuned for Grok; models like **`grok-code-fast-1`**, **`grok-4-1-fast-reasoning`**, **`grok-4.20-multi-agent-0309`**, plus flagship and fast variants—run `grok models` for the full menu. |
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| **X + web search** | **`search_x`** and **`search_web`** tools—live posts and docs without pretending the internet stopped in 2023. |
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| **Media generation** | Built-in **`generate_image`** and **`generate_video`** tools for text-to-image, image editing, text-to-video, and image-to-video flows. Generated files are saved locally so you can reuse them after the xAI URLs expire. |
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| **Sub-agents (default behavior)** | Foreground **`task`** delegation (e.g. explore vs general) plus background **`delegate`** for read-only deep dives—parallelize like you mean it. |
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| **Custom sub-agents** | Define named agents with **`subAgents`** in **`~/.grok/user-settings.json`** and manage them from the TUI with **`/agents`**. |
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| **Remote control** | Pair **Telegram** from the TUI (`/remote-control` → Telegram): DM your bot, **`/pair`**, approve the code in-terminal. Keep the CLI running while you ping it from your phone. |
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| **No “mystery meat” UI** | OpenTUI React terminal UI—fast, keyboard-driven, not whatever glitchy thing you’re thinking of. |
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| **Skills** | Agent Skills under **`.agents/skills/<name>/SKILL.md`** (project) or **`~/.agents/skills/`** (user). Use **`/skills`** in the TUI to list what’s installed. |
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| **MCPs** | Extend with Model Context Protocol servers—configure via **`/mcps`** in the TUI or **`.grok/settings.json`** (`mcpServers`). |
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| **Sessions** | Conversations persist; **`--session latest`** picks up where you left off. |
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| **Headless** | **`--prompt`** / **`-p`** for non-interactive runs—pipe it, script it, bench it. |
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| **Hackable** | TypeScript, clear agent loop, bash-first tools—fork it, shamelessly. |
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### Coming soon
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**Autonomous agent testing** (think: sandboxed machine, recorded runs, Replit-style “prove it works”—the kind of thing that makes flaky human QA nervous). Not shipped yet; when it lands, we’ll be insufferable about it.
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---
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## API key (pick one)
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**Environment (good for CI):**
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```bash
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export GROK_API_KEY=your_key_here
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```
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**`.env`** in the project (see `.env.example` if present):
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```bash
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GROK_API_KEY=your_key_here
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```
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**CLI once:**
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```bash
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grok -k your_key_here
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```
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**Saved in user settings** — `~/.grok/user-settings.json`:
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```json
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{ "apiKey": "your_key_here" }
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```
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Optional **`subAgents`** — custom foreground sub-agents. Each entry needs **`name`**, **`model`**, and **`instruction`**:
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```json
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{
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"subAgents": [
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{
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"name": "security-review",
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"model": "grok-code-fast-1",
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"instruction": "Prioritize security implications and suggest concrete fixes."
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}
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]
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}
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```
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Names cannot be `general` or `explore` because those are reserved for the built-in sub-agents.
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Optional: **`GROK_BASE_URL`** (default `https://api.x.ai/v1`), **`GROK_MODEL`**, **`GROK_MAX_TOKENS`**.
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---
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## Telegram (remote control) — short version
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1. Create a bot with [@BotFather](https://t.me/BotFather), copy the token.
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2. Set **`TELEGRAM_BOT_TOKEN`** or add **`telegram.botToken`** in `~/.grok/user-settings.json` (the TUI **`/remote-control`** flow can save it).
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3. Start **`grok`**, open **`/remote-control`** → **Telegram** if needed, then in Telegram DM your bot: **`/pair`**, enter the **6-character code** in the terminal when asked.
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4. First user must be approved once; after that, it’s remembered. **Keep the CLI process running** while you use the bot (long polling lives in that process).
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### Voice & audio messages
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Send a voice note or audio attachment in Telegram and Grok will transcribe it locally with **[whisper.cpp](https://github.com/ggml-org/whisper.cpp)** before passing the text to the agent. No cloud STT service is involved — everything runs on your machine.
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#### Prerequisites
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| Dependency | Why | Install (macOS) |
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| **whisper-cli** | Runs the actual speech-to-text inference | `brew install whisper-cpp` |
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| **ffmpeg** | Converts Telegram voice notes (OGG/Opus) to WAV for whisper.cpp | `brew install ffmpeg` |
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After installing, verify both are available:
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```bash
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whisper-cli -h
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ffmpeg -version
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```
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#### Download a Whisper model
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Grok CLI auto-downloads the configured model on first use, but you can pre-download it:
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```bash
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mkdir -p ~/.grok/models/stt/whisper.cpp
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curl -L https://huggingface.co/ggerganov/whisper.cpp/resolve/main/ggml-tiny.en.bin \
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-o ~/.grok/models/stt/whisper.cpp/ggml-tiny.en.bin
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```
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Available models (trade size for accuracy): `tiny.en` (75 MB), `base.en` (142 MB), `small.en` (466 MB).
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#### Configure in `~/.grok/user-settings.json`
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```json
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{
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"telegram": {
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"botToken": "YOUR_BOT_TOKEN",
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"audioInput": {
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"enabled": true,
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"binaryPath": "/opt/homebrew/bin/whisper-cli",
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"model": "tiny.en",
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"modelPath": "~/.grok/models/stt/whisper.cpp/ggml-tiny.en.bin",
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"autoDownloadModel": true,
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"language": "en"
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}
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}
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}
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```
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| Setting | Default | Description |
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| `enabled` | `true` | Set to `false` to ignore voice/audio messages entirely. |
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| `binaryPath` | `whisper-cli` | Absolute path or command name for the whisper.cpp CLI binary. |
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| `model` | `tiny.en` | Model alias used for auto-download resolution. |
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| `modelPath` | _(auto-resolved)_ | Explicit path to a `.bin` model file. Overrides `model` + auto-download. |
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| `autoDownloadModel` | `true` | Download the model into `~/.grok/models/stt/whisper.cpp` on first use. |
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| `language` | `en` | Whisper language code passed to the CLI. |
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Optional headless flow when you do not want the TUI open:
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```bash
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grok telegram-bridge
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```
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Treat the bot token like a password.
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---
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## Instructions & project brain
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- **`AGENTS.md`** — merged from git root down to your cwd (Codex-style; see repo docs). **`AGENTS.override.md`** wins per directory when present.
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---
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## Project settings
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Project file: **`.grok/settings.json`** — e.g. the current model for this project.
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---
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## Sandbox
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Grok CLI can run shell commands inside a [Shuru](https://github.com/superhq-ai/shuru) microVM sandbox so the agent can't touch your host filesystem or network.
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**Requires macOS 14+ on Apple Silicon.**
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Enable it with `--sandbox` on the CLI, or toggle it from the TUI with `/sandbox`.
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When sandbox mode is active you can configure:
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- **Network** — off by default; enable with `--allow-net`, restrict with `--allow-host`
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- **Port forwards** — `--port 8080:80`
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- **Resource limits** — CPUs, memory, disk size (via settings or `/sandbox` panel)
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- **Checkpoints** — start from a saved environment snapshot
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- **Secrets** — inject API keys without exposing them inside the VM
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All settings are saved in `~/.grok/user-settings.json` (user) and `.grok/settings.json` (project).
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---
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## Development
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From a clone:
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```bash
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bun install
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bun run build
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bun run start
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# or: node dist/index.js
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```
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Other useful commands:
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```bash
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bun run dev # run from source (Bun)
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bun run typecheck
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bun run lint
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```
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---
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## License
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MIT
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