asksh 1.0.0

AI-powered CLI tool that converts natural language into Linux shell commands.

❯_ asksh

AI in your terminal for shell and coding help.

asksh is an AI-powered CLI that lets you describe what you want in plain English and get practical terminal guidance. In its default one-shot mode it replies with a concise Linux command. In explain or chat modes it can also provide short explanations or broader programming help.

You don't need to leave your terminal to get things done. Don't remember the exact tar flags? asksh

$ asksh "compress a directory as tar.gz excluding the .cache directory"
tar -czf archive.tar.gz --exclude=.cache my_directory

Why asksh

• Stay in the terminal: describe what you need in plain language and get a shell command (or a short explanation) without switching to a browser or another app.
• Local model, low cost: Ollama with the default qwen2.5-coder is enough for most day-to-day terminal tasks—no API keys or token spend on large cloud providers.
• No automatic access or execution: asksh does not browse your filesystem, write files, delete anything, or run shell commands on its own. It only sends your prompt to the model, plus text you explicitly provide with -f/--context or by piping stdin. You review and run any command yourself.

Features

• One-shot command (default): returns just the shell command, no commentary.
• Explain mode (-e/--explain): returns a command with a short explanation.
• Interactive chat (-c/--chat, or run with no query): streamed multi-turn chat for broader help.
• File context (-f/--context PATH): attach a file (logs, configs, code) as context.
• Stdin support: pipe anything in (cat error.log | asksh ...), works in chat mode too.
• Local & private: runs against your own Ollama server; no data leaves your machine.
• Custom model / server: override defaults per call (--model, --base-url) or via a TOML config.

Quick Start

1. Install Ollama and make sure it's running (ollama serve, or launch the desktop app).
2. Pull the default model:

ollama pull qwen2.5-coder

3. Install and run asksh:

pipx install asksh
asksh "find files larger than 500MB in this directory"

Safety

AI-generated shell commands can be destructive. Always review commands before running them, especially commands that remove files, rewrite git history, or modify system configuration.

Installation

Install the CLI

From PyPI:

pipx install asksh
# or: uv tool install asksh

From a clone (development):

git clone https://github.com/srgsol/asksh.git
cd asksh
uv sync
uv run asksh --help

Requires Python 3.10+ and a reachable Ollama server (see Quick Start).

Configuration (optional defaults)

CLI flags always win. To avoid retyping --model/--base-url on every run, drop a TOML file at:

• $XDG_CONFIG_HOME/asksh/config.toml (or ~/.config/asksh/config.toml if XDG_CONFIG_HOME is unset).

Only model and base_url are read from the config file. See config.example.toml.

Setting	Default
model	qwen2.5-coder
base_url	http://localhost:11434

Usage

Flags

Flag	Description
-c, --chat	Start interactive chat (also the default when no query).
-e, --explain	Return a command with a short explanation.
-f, --context PATH	Use a file as additional context.
--model NAME	Ollama model (default qwen2.5-coder).
--base-url URL	Ollama server (default http://localhost:11434).
-V, --version	Print version and exit.

Run asksh --help to see the full list.

One-shot query

asksh "compress this folder as tar.gz excluding .cache"

Interactive chat

asksh enters chat mode if no query is provided, or when -c/--chat is set.

asksh
# or:
asksh -c

Explain mode

Return a command with a short explanation:

asksh -e "show open tcp ports"

Context file

Pass a file as additional context:

asksh -f error.log "what is failing here?"

Pipe stdin

Use piped input as context:

cat data.json | asksh "use jq to count items"

You can combine stdin with chat mode — stdin becomes the first message and the chat then continues interactively from your terminal:

cat error.log | asksh -c "what went wrong?"

Troubleshooting

• Cannot connect to Ollama: ensure Ollama is running and reachable at http://localhost:11434 (or pass --base-url).
• Model not found: run ollama pull qwen2.5-coder or pass another available model with --model.
• Config not being used: verify config path ($XDG_CONFIG_HOME/asksh/config.toml or ~/.config/asksh/config.toml).