# Local LLM Linux Troubleshoot: An AI Agent for Linux Diagnostics

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Local LLM Linux Troubleshoot is an AI-powered agent designed to diagnose and resolve issues on Linux systems. It leverages llama.cpp for local AI processing, offering system diagnostics, safe command execution, and support for Docker, CLI, and a web GUI. This tool provides a privacy-first approach to managing and troubleshooting your Linux environment.

GitHub: https://github.com/ikaganacar1/Local_LLM_Linux_Troubleshoot
OSRepos URL: https://osrepos.com/repo/ikaganacar1-local_llm_linux_troubleshoot

## Summary

Local LLM Linux Troubleshoot is an AI-powered agent designed to diagnose and resolve issues on Linux systems. It leverages llama.cpp for local AI processing, offering system diagnostics, safe command execution, and support for Docker, CLI, and a web GUI. This tool provides a privacy-first approach to managing and troubleshooting your Linux environment.

## Topics

- ai-agents
- linux-troubleshooting
- llama-cpp
- docker
- python
- self-hosted
- web-gui
- system-diagnostics

## Repository Information

Last analyzed by OSRepos: Mon Sep 14 2026 00:13:01 GMT+0100 (Western European Summer Time)
Detail views: 2
GitHub clicks: 0

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## Content

## Introduction

Local LLM Linux Troubleshoot is an innovative local AI agent crafted to simplify Linux system diagnostics and troubleshooting. It integrates with `llama.cpp` to provide an intelligent assistant that can scan your host, interpret logs, explain potential issues, and propose solutions. The project emphasizes safety, requiring explicit permission before executing any system-altering commands, and supports both command-line and a user-friendly web interface.

## Why Use and Benefits

This project offers a powerful set of features for anyone managing Linux systems, from homelab enthusiasts to sysadmins:

*   **Comprehensive Diagnostics**: Performs read-only diagnostics across services, packages, boot processes, storage, network, display, audio, and Bluetooth.
*   **Intelligent Explanations**: Streams model output in chat, including collapsible reasoning to help users understand the AI's thought process.
*   **Privacy-First**: Operates locally with `llama.cpp` models, ensuring your system data remains on your machine.
*   **Safe Command Execution**: Utilizes a safety controller that requires explicit user permission in the GUI before executing any modifying commands, logging all approved actions to a local audit trail.
*   **Configurable**: Allows users to customize model, context, token settings, permissions, and theme directly from the web GUI.
*   **Persistent Data**: Maintains chat history in the browser and local scan memory in a dedicated `.lta_data/` directory.
*   **Versatile Access**: Offers both a command-line interface (CLI) for quick queries and a web GUI for a more interactive experience.
*   **Docker Support**: Easy deployment as a local, restart-always Docker service, simplifying setup and management.

## Installation

### Docker Setup

To run the application as a local, restart-always Docker service, use the following commands:

bash
docker compose up -d --build


Once started, open your browser to:

text
http://127.0.0.1:28765/


For added security, you can set a local UI password:

bash
export LTA_UI_PASSWORD='choose-a-local-password'
docker compose up -d --build


### Run Without Docker

If you prefer to run the application directly, ensure you have Python 3.10+ installed and then execute:

bash
PYTHONPATH=src python3 -m linux_troubleshoot_agent.web


You can also set useful defaults via environment variables:

bash
export LLAMA_CPP_BASE_URL=http://127.0.0.1:11435/v1
export LLAMA_CPP_MODEL=local-model
export LTA_MAX_TOKENS=4096
export LTA_TEMPERATURE=0.2
export LTA_TOP_P=0.95
export LTA_TOP_K=40
export LTA_REPEAT_PENALTY=1.1


## Examples

### CLI Usage

Ask a troubleshooting question directly from the command line:

bash
PYTHONPATH=src python3 -m linux_troubleshoot_agent "HDMI monitor is not detected"


Check the safety classification of a command:

bash
PYTHONPATH=src python3 -m linux_troubleshoot_agent --check-command "journalctl -p 3 -xb"


## Links

For more details, source code, and to contribute, visit the official GitHub repository:

*   [GitHub Repository](https://github.com/ikaganacar1/Local_LLM_Linux_Troubleshoot){:target="_blank"}