# Linux Command GPT (lcg)

This repo is forked from <https://github.com/asrul10/linux-command-gpt.git>

Generate Linux commands from natural language. Supports Ollama and Proxy backends, system prompts, different explanation levels (v/vv/vvv), and JSON history.

## Installation

Build from source:

```bash
git clone --depth 1 https://github.com/Direct-Dev-Ru/linux-command-gpt.git ~/.linux-command-gpt
cd ~/.linux-command-gpt
go build -o lcg

# Add to your PATH
ln -s ~/.linux-command-gpt/lcg ~/.local/bin
```

## Quick start

```bash
lcg "I want to extract linux-command-gpt.tar.gz file"
```

After generation you will see a CAPS warning that the answer is from AI and must be verified, the command, and the action menu:

```text
ACTIONS: (c)opy, (s)ave, (r)egenerate, (e)xecute, (v|vv|vvv)explain, (n)othing
```

Explanations:

- `v` — short; `vv` — medium; `vvv` — detailed with alternatives.

Clipboard support requires `xclip` or `xsel`.

Write the generated script to a file instead of stdout:

```bash
lcg --mode file "I want to extract linux-command-gpt.tar.gz file"
# 💾 Файл создан: lcg-out-script.sh

lcg --mode file --output-file ~/bin/unpack.sh "I want to extract linux-command-gpt.tar.gz file"
```

The file is rewritten on each request: only the code produced for the current query remains, earlier content is removed.
Before rewriting an existing file backup copies are created: `<file>.bak` is the latest one, `<file>.bak.1`, `<file>.bak.2`, … are older; the number of kept copies is set by `LCG_BACKUP_COUNT` (default `3`) or `--backup-count`, `0` disables backups.
If the file already exists and is not empty, its content is passed to the model as data (see `LCG_CONTEXT_MAX_BYTES`): inline when it fits the user message limit, otherwise as a separate message before the query.

The model is asked to return code in markdown fences (```` ```bash ````, ```` ```python ````, …): only fenced blocks are written to the file as code, the rest of the answer becomes comments in the syntax of the target file (`#`, `//`, `--`, `<!-- -->`, … by extension). Shebang and `set -euo pipefail` are added only for shell scripts; a shebang already present in the model's code is reused, and `set -euo pipefail` is not duplicated.

## What's new in 2.0.14

- Authentication: JWT-based authentication with HTTP-only cookies
- CSRF protection: Full CSRF protection with tokens and middleware
- Security: Enhanced security with token validation and sessions
- Kubernetes deployment: Full set of manifests for Kubernetes deployment with Traefik
- Reverse Proxy: Support for working behind reverse proxy with cookie configuration
- Web interface: Improved web interface with modern design
- Monitoring: Prometheus metrics and ServiceMonitor
- Scaling: HPA for automatic scaling
- Testing: CSRF protection testing tools

## Environment

- `LCG_PROVIDER` (default `ollama`) — provider type: `ollama`, `proxy` or `apimira`
- `LCG_HOST` (default `http://192.168.87.108:11434/`, for `apimira`: `https://apimira.com`) — base API URL
- `LCG_MODEL` (default `hf.co/yandex/YandexGPT-5-Lite-8B-instruct-GGUF:Q4_K_M`; for `apimira` required in `vendor/model` form, e.g. `anthropic/claude-opus-4.7`)
- `LCG_PROMPT` — default system prompt content
- `LCG_PROXY_URL` (default `/api/v1/protected/sberchat/chat`) — proxy chat endpoint
- `LCG_COMPLETIONS_PATH` (default `api/chat`, for `apimira`: `/v1/chat/completions`) — chat endpoint (relative)
- `LCG_TIMEOUT` (default `300`) — request timeout in seconds
- `LCG_RETRIES` (default `3`) — retry attempts on transient errors (network, `429`, `5xx`) with delays 5s/10s/20s; `0` disables retries; CLI flag `--retries` overrides it
- `LCG_MODE` (default `stdout`) — output mode: `stdout` or `file`; CLI flag `--mode` overrides it
- `LCG_OUTPUT_FILE` (default `./lcg-out-script.sh`) — output file for `--mode file`; CLI flag `--output-file` overrides it
- `LCG_CONTEXT_MAX_BYTES` (default `16000`) — limit of output file bytes passed to the model as context in `--mode file`
- `LCG_BACKUP_COUNT` (default `3`) — number of backup copies (`<file>.bak`, `<file>.bak.1`, …) kept for `--mode file`; `0` disables them
- `LCG_RESULT_FOLDER` (default `~/.config/lcg/gpt_results`) — folder for saved results
- `LCG_RESULT_HISTORY` (default `$(LCG_RESULT_FOLDER)/lcg_history.json`) — JSON history path
- `LCG_PROMPT_FOLDER` (default `~/.config/lcg/gpt_sys_prompts`) — folder for system prompts
- `LCG_PROMPT_ID` (default `1`) — default system prompt ID
- `LCG_BROWSER_PATH` — custom browser executable path for `--browser` flag
- `LCG_DEBUG_FILE` / `--debug-file` — append full activity log (queries, prompts, request and response bodies) to the given file
- `LCG_JWT_TOKEN` — API key for `proxy` and `apimira` providers
- `LCG_API_KEY_FILE` (default `.openai_api_key`, for `apimira`: `.apimira_api_key`) — API key file in `$HOME`, stored with `0600` permissions
- `LCG_NO_HISTORY` — if `1`/`true`, disables history writes for the process
- `LCG_ALLOW_EXECUTION` — if `1`/`true`, enables command execution via `(e)` action menu
- `LCG_SERVER_PORT` (default `8080`), `LCG_SERVER_HOST` (default `localhost`) — HTTP server settings

## Flags

- `--file, -f` read part of prompt from file
- `--sys, -s` system prompt content or ID
- `--prompt-id, --pid` choose built-in prompt (1–5)
- `--timeout, -t` request timeout (sec)
- `--no-history, --nh` disable writing/updating JSON history for this run
- `--mode` output mode: `stdout` (default) or `file`
- `--output-file, -o` output file for `--mode file` (default `./lcg-out-script.sh`)
- `--backup-count` number of backup copies kept for `--mode file` (overrides `LCG_BACKUP_COUNT`, default `3`)
- `--debug, -d` show debug information (request parameters and prompts)
- `--version, -v` print version; `--help, -h` help

## Commands

- `models`, `health`, `config`
- `prompts list|add|delete`
- `test-prompt <prompt-id> <command>`
- `update-jwt`, `delete-jwt` (proxy)
- `update-key`, `delete-key` (not needed for ollama/proxy)
- `history list` — list history from JSON
- `history view <index>` — view by index
- `history delete <index>` — delete by index (re-numbering)
- `serve` — start HTTP server to browse saved results (`--port`, `--host`, `--browser`)
- `/run` — web interface for executing requests
- `/execute` — API endpoint for programmatic access via curl

## Saving results

Files are saved to `LCG_RESULT_FOLDER` (default `~/.config/lcg/gpt_results`).

- Command result: `gpt_request_<MODEL>_YYYY-MM-DD_HH-MM-SS.md`
  - `# <title>` — H1 with original request (trimmed to 120 chars: first 116 + `...`)
  - `## Prompt`
  - `## Response`

- Detailed explanation: `gpt_explanation_<MODEL>_YYYY-MM-DD_HH-MM-SS.md`
  - `# <title>`
  - `## Prompt`
  - `## Command`
  - `## Explanation and Alternatives (model: <MODEL>)`

## History

- Stored as JSON array in `LCG_RESULT_HISTORY`.
- On new request, if the same command exists, you will be prompted to view or overwrite.
- Showing from history does not call the API; the standard action menu is shown.

## Browser Integration

The `serve` command supports automatic browser opening:

```bash
# Start server and open browser automatically
lcg serve --browser

# Use custom browser
export LCG_BROWSER_PATH="/usr/bin/firefox"
lcg serve --browser

# Start on custom host/port with browser
lcg serve --host 0.0.0.0 --port 9000 --browser
```

Supported browsers (in priority order):

- Yandex Browser (`yandex-browser`, `yandex-browser-stable`)
- Mozilla Firefox (`firefox`, `firefox-esr`)
- Google Chrome (`google-chrome`, `google-chrome-stable`)
- Chromium (`chromium`, `chromium-browser`)

## API Access

The `serve` command provides both a web interface and REST API:

**Web Interface:**

- Browse results at `http://localhost:8080/` (or `http://localhost:8080<BASE_PATH>/` if `LCG_BASE_URL` set)
- Execute requests at `.../run`
- Manage prompts at `.../prompts`
- View history at `.../history`

Notes:
- Base path: set `LCG_BASE_URL` (e.g. `/lcg`) to prefix all routes and API.
- Custom 404: unknown paths under base path render a modern 404 page.
- Debug: enable via flag `--debug` or env `LCG_DEBUG=1|true`.

**REST API:**

```bash
# Start server
lcg serve

# Make API request
curl -X POST http://localhost:8080/execute \
  -H "Content-Type: application/json" \
  -d '{"prompt": "create directory test", "verbose": "vv"}'
```

**Response:**

```json
{
  "success": true,
  "command": "mkdir test",
  "explanation": "The mkdir command creates a new directory...",
  "model": "hf.co/yandex/YandexGPT-5-Lite-8B-instruct-GGUF:Q4_K_M",
  "elapsed": 1.23
}
```

For complete API documentation, see `API_GUIDE.md`.

For full guide in Russian, see `USAGE_GUIDE.md`.