smart-linux-assistant 0.8.2

An AI-powered Linux productivity assistant for command analysis, troubleshooting, and knowledge management.

Smart Linux Assistant

Smart Linux Assistant is an AI-powered Linux operations assistant that understands natural language, safely executes shell commands, retrieves Linux knowledge, explains errors, and assists users with troubleshooting. The current version implements the core command execution engine and foundational architecture for future AI capabilities.

Project Overview

Smart Linux Assistant is a command-line utility that executes shell commands and returns structured outcomes. The tool captures the command, exit code, stdout, stderr, execution timestamp, and duration to make downstream automation and logging straightforward.

System Architecture

• CLI (linux_assistant.cli.main) accepts user commands and options and delegates execution to CommandExecutor.
• CommandExecutor runs shell commands using subprocess.run and returns a CommandResult dataclass describing the outcome.
• Centralized logging is provided by linux_assistant.utils.logger, writing to logs/smart_linux_assistant.log with rotation.
• Runtime paths and directories are managed by linux_assistant.config.settings and can be initialized with initialize_app_filesystem().

Tech Stack

• Python 3.11+
• Typer (CLI)
• Standard library: subprocess, logging, shutil, dataclasses, pathlib, datetime

Prerequisites

1. Python 3.11 or newer.
2. Optional: a virtual environment tool (venv).
3. No Dockerfile or docker-compose are included in this repository.

Local Setup & Installation

1. Clone the repository:

git clone https://github.com/shubham-k-jha-dev/smart-linux-assistant
cd smart-linux-assistant

2. Create and activate a virtual environment:

# Linux/macOS
python3 -m venv .venv
source .venv/bin/activate

# Windows (PowerShell)
python -m venv .venv
.venv\\Scripts\\Activate.ps1

3. Install development dependencies:

pip install -r requirements-dev.txt

4. (Optional) Install the package in editable mode to enable the smart-linux CLI entrypoint:

pip install -e .

5. (Optional) Ensure runtime directories exist from Python:

from linux_assistant.config.settings import initialize_app_filesystem
initialize_app_filesystem()

Environment Variables

This project does not require any environment variables for its core CLI functionality. The repository includes an empty .env.example placeholder.

Variable	Description	Example
(none)	No required environment variables for CLI execution	-

Configuration

Smart Linux Assistant supports a user configuration file. If no configuration file is present, the application automatically falls back to built-in defaults.

By default, the application looks for:

~/.config/smart-linux-assistant/config.toml

A complete example configuration is available in the repository as:

config.toml.example

Copy it into your local configuration directory and modify only the values you want to customize. Example:

mkdir -p ~/.config/smart-linux-assistant
cp config.toml.example ~/.config/smart-linux-assistant/config.toml

Current configurable options include:

• AI provider
• AI model
• API timeout
• Retry count
• Command history settings
• Logging verbosity
• Privacy (secret redaction)

Usage / API Reference

The project exposes the console scripts smart-linux and sla (configured in pyproject.toml).

By default, the CLI stays quiet — internal logs are written only to the log file, not the console. Pass --verbose (or -v) before any subcommand to see detailed logs live in your terminal:

smart-linux --verbose run "echo hello"

• Run a shell command:

smart-linux run "echo hello"

• Options:

• --timeout <seconds> — maximum seconds to allow command to run (default: 30)

• --check — treat non-zero exit codes as errors and exit with that code

• --suggest-fix — if the command fails, use AI to suggest a corrected version (requires --check; requires GROQ_API_KEY, same as explain/fix/search)

• Doctor command (checks common tools):

smart-linux doctor

• Get an AI-powered explanation of a command or error message:

smart-linux explain "permission denied when running ./script.sh"

Requires a free Groq API key set as an environment variable:

export GROQ_API_KEY="your-key-here"

Get a free key at console.groq.com.

• Fix a failing command:

smart-linux fix "ls /nonexistent"

• Options:

• --timeout <seconds> — maximum seconds to allow the command to run (default: 30)

• This runs the command and, if it fails, uses the AI to suggest a corrected version, then interactively prompts you to execute the fix safely. Requires the same GROQ_API_KEY environment variable as the explain command.

• Search for a Linux task in plain language:

smart-linux search "find the 10 largest files in the current directory"

• This returns a concrete command and brief explanation for the requested task, and interactively prompts you to execute the command directly. Requires the same GROQ_API_KEY environment variable as the explain command.
• View or manage recorded command history:

smart-linux history
smart-linux history --failures-only
smart-linux history clear

Every run invocation (success or failure) is recorded locally in a SQLite database, storing the command text, exit code, duration, working directory, and — only for failed commands — a truncated snippet of stderr. stdout is never stored. History is capped at 5,000 entries (oldest entries are pruned automatically) and can be disabled entirely by setting SMART_LINUX_NO_HISTORY=1.

Example output

Successful command:

$ smart-linux run "echo hello"
hello

Failed command (example):

$ smart-linux run "ls nonexistent" --check
ls: cannot access 'nonexistent': No such file or directory

These outputs reflect the CLI behaviour: standard output is printed for successful commands; standard error is printed for failures and, when --check is used, the CLI exits with the command's exit code.

Failed command with an AI-suggested fix:

$ smart-linux run "gti status" --check --suggest-fix
gti: command not found

Suggested fix:
  git status

--suggest-fix requires --check (fix suggestions only apply to command failures detected via --check); calling it without --check exits immediately with an error.

Roadmap / Current Status

• Core CLI: implemented — run and doctor commands are provided in linux_assistant.cli.main.
• Command execution: implemented using linux_assistant.services.command_executor.CommandExecutor which returns CommandResult instances.
• Logging & configuration: implemented via linux_assistant.utils.logger and linux_assistant.config.settings.
• Packaging: console script entry points are declared in pyproject.toml.
• AI-powered explanations: implemented — smart-linux explain uses the Groq API (llama-3.3-70b-versatile) to generate plain-language explanations of commands and error messages, via linux_assistant.services.explainer.Explainer. Requires a user-supplied GROQ_API_KEY environment variable.
• AI-powered fix suggestions: implemented — smart-linux fix runs a failing command and suggests a corrected version; smart-linux run --check --suggest-fix offers the same suggestion inline as part of normal command execution. Both use linux_assistant.services.explainer.Explainer.suggest_fix().
• AI-powered search: implemented — smart-linux search answers natural-language questions about Linux tasks via linux_assistant.services.search.Searcher.
• Production hardening & Safety: implemented — API timeouts, retry logic, rate-limit-specific handling, input truncation, regex-based secret redaction, and a Heuristic Safety Interceptor (linux_assistant.core.safety) to detect and block destructive commands (like rm -rf, mkfs, dd) before execution.
• Agentic Execution: implemented — smart-linux fix and smart-linux search now feature interactive confirmation prompts (_prompt_and_execute), allowing users to review AI-suggested commands and execute them instantly with safety guardrails.
• Command history: implemented — smart-linux run records every invocation locally via linux_assistant.repositories.history_repository.HistoryRepository (SQLite-backed, FIFO-capped at 5,000 rows). View with smart-linux history (supports --failures-only), erase with smart-linux history clear, or disable entirely via SMART_LINUX_NO_HISTORY=1. AI Context Injection is implemented: explain and fix commands dynamically fetch the last 5 chronological commands to give the LLM workflow awareness, protected by graceful degradation if the database is locked.
• Additional AI features (documentation lookup) are planned but not yet implemented.

Known Limitations

• Tested and verified on Linux (native and WSL). Not yet tested on macOS or native Windows Python — behavior on those platforms is currently unverified, though the codebase avoids Linux-only APIs where possible.

Privacy Note

The explain, fix, and search commands send your terminal queries to Groq's API for processing.

Important update starting in v0.7.0+: To provide context-aware solutions, the fix command securely reads your 5 most recent local commands and injects them into the Groq API prompt.

Security First: Before any history leaves your machine, it passes through a local Regex Redactor (linux_assistant.utils.redactor) which automatically scrubs standard environment variables, inline passwords, AWS keys, and Bearer tokens, replacing them with [REDACTED]. However, you should still exercise caution and avoid running AI commands immediately after working with highly sensitive, non-standard plaintext secrets.

Separately, smart-linux run records your command invocations (command text, exit code, duration, working directory, and truncated stderr) in a local SQLite database. stdout is never recorded. To disable history recording entirely, set SMART_LINUX_NO_HISTORY=1. To view or erase recorded history, use smart-linux history and smart-linux history clear.

Install from PyPI

If this package is published to PyPI, it can be installed with:

pip install smart-linux-assistant

Testing

Run the test suite with pytest:

pytest

License

MIT License — see LICENSE.

Contributing

• Run tests with pytest before opening a pull request.
• Follow standard Python packaging best practices.