terminal
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A lean, fast-path terminal plugin for LM Studio. Gives any model two focused tools:
| Tool | What it does |
|---|---|
exec | Execute any shell command - bash/sh on macOS & Linux, pwsh/powershell/cmd on Windows |
run_script | Run a Python, Node.js, Bun, Deno, or ts-node file (or inline snippet) with zero friction |
execRun any shell command with full cross-platform support.
exec( command : string - the command to run cwd? : string - working directory (supports ~) timeout_ms? : number - ms before SIGKILL, default 30 000, max 300 000 env? : {[k]: string} - extra env vars merged on top of the environment )
Returns stdout, stderr, exitCode, timedOut, platform, shell.
The platform and shell fields tell the model exactly what ran so it can adapt syntax (e.g. PowerShell vs bash pipeline operators).
run_scriptRun a script file or an inline code snippet through a specific language runtime.
Exactly one of file_path or code must be provided.
Auto-detection - when file_path is given and runtime is omitted, the runtime is detected from the file extension:
| Extension | Runtime |
|---|---|
.py | python |
.js .mjs .cjs .jsx | node |
.ts .tsx .mts .cts | bun |
When code (inline) is used, runtime is required.
Returns success, runtime, stdout, stderr, exitCode, timedOut, platform.
| Setting | Default | Description |
|---|---|---|
| Windows Shell | Command Prompt (cmd.exe) | Which shell exec uses on Windows. Select PowerShell to prefer pwsh → powershell.exe. |
| Shell Path | (empty) | Override the shell path for exec. Leave empty to use the default shell. |
| Python Executable | (empty) | Override the Python binary for run_script. Auto-detects when empty. |
| Platform | Default Behavior |
|---|---|
| macOS / Linux | /bin/bash → /usr/bin/bash → /bin/sh → /usr/bin/sh |
| Windows (cmd) | cmd.exe |
| Windows (powershell) | pwsh.exe (PS 7) → powershell.exe (built-in) → cmd.exe |
| Platform | Search order |
|---|---|
| macOS / Linux | python3 → python |
| Windows | py → python → python3 |
Set Python Executable in the plugin settings to point at a specific interpreter (e.g. inside a virtualenv or conda environment).
exec defaults to cmd.exe. You can change this to prefer PowerShell (Core or Windows PowerShell) in the plugin settings. The plugin injects a UTF-8 encoding preamble when using PowerShell so output is always readable.py or python. The plugin tries multiple common names automatically; override via the Python Executable setting to target a specific version or virtual environment..ts files because it executes them natively without a compilation step. Install with curl -fsSL https://bun.sh/install | bash (Unix) or powershell -c "irm bun.sh/install.ps1 | iex" (Windows).runtime: "ts-node". Invoked through npx --yes ts-node so no global install is needed, but it is slower than Bun.run_script(
runtime? : "python"|"node"|"bun"|"deno"|"ts-node"
file_path? : string - absolute path to an existing script file
code? : string - inline source code (written to a temp file)
args? : string[] - arguments passed to the script
cwd? : string - working directory (supports ~)
timeout_ms? : number - ms timeout
env? : {[k]: string} - extra env vars
)
cd lms-plugin-terminal
bun install
lms dev
exec("ls -lh ~/Downloads")
exec("git status", { cwd: "/Users/you/myproject" })
exec("npm install", { cwd: "/Users/you/myapp", timeout_ms: 120000 })
run_script({ file_path: "/Users/you/analysis.py" })
run_script({ file_path: "/Users/you/script.py", args: ["--input", "data.csv"] })
run_script({
runtime: "python",
code: "import sys; print(sys.version)"
})
run_script({ file_path: "/Users/you/app.ts" }) // bun auto-detected
run_script({ runtime: "bun", file_path: "/Users/you/app.ts" }) // explicit
run_script({
runtime: "node",
code: "console.log(process.versions)"
})
run_script({ runtime: "deno", file_path: "/Users/you/fetch.ts" })