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Исправления в ветке auth-feature
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docs/README.md
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# Linux Command GPT (lcg)
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This repo is forked from <https://github.com/asrul10/linux-command-gpt.git>
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Generate Linux commands from natural language. Supports Ollama and Proxy backends, system prompts, different explanation levels (v/vv/vvv), and JSON history.
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## Installation
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Build from source:
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```bash
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git clone --depth 1 https://github.com/Direct-Dev-Ru/linux-command-gpt.git ~/.linux-command-gpt
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cd ~/.linux-command-gpt
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go build -o lcg
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# Add to your PATH
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ln -s ~/.linux-command-gpt/lcg ~/.local/bin
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```
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## Quick start
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```bash
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lcg "I want to extract linux-command-gpt.tar.gz file"
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```
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After generation you will see a CAPS warning that the answer is from AI and must be verified, the command, and the action menu:
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```text
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ACTIONS: (c)opy, (s)ave, (r)egenerate, (e)xecute, (v|vv|vvv)explain, (n)othing
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```
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Explanations:
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- `v` — short; `vv` — medium; `vvv` — detailed with alternatives.
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Clipboard support requires `xclip` or `xsel`.
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## What's new in 2.0.1
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- Mobile UI improvements: better responsiveness (buttons, fonts, spacing) and reduced motion support
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- Public REST endpoint: `POST /execute` (curl-only) for programmatic access — see `API_GUIDE.md`
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## Environment
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- `LCG_PROVIDER` (default `ollama`) — provider type: `ollama` or `proxy`
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- `LCG_HOST` (default `http://192.168.87.108:11434/`) — base API URL
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- `LCG_MODEL` (default `hf.co/yandex/YandexGPT-5-Lite-8B-instruct-GGUF:Q4_K_M`)
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- `LCG_PROMPT` — default system prompt content
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- `LCG_PROXY_URL` (default `/api/v1/protected/sberchat/chat`) — proxy chat endpoint
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- `LCG_COMPLETIONS_PATH` (default `api/chat`) — Ollama chat endpoint (relative)
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- `LCG_TIMEOUT` (default `300`) — request timeout in seconds
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- `LCG_RESULT_FOLDER` (default `~/.config/lcg/gpt_results`) — folder for saved results
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- `LCG_RESULT_HISTORY` (default `$(LCG_RESULT_FOLDER)/lcg_history.json`) — JSON history path
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- `LCG_PROMPT_FOLDER` (default `~/.config/lcg/gpt_sys_prompts`) — folder for system prompts
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- `LCG_PROMPT_ID` (default `1`) — default system prompt ID
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- `LCG_BROWSER_PATH` — custom browser executable path for `--browser` flag
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- `LCG_JWT_TOKEN` — JWT token for proxy provider
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- `LCG_NO_HISTORY` — if `1`/`true`, disables history writes for the process
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- `LCG_ALLOW_EXECUTION` — if `1`/`true`, enables command execution via `(e)` action menu
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- `LCG_SERVER_PORT` (default `8080`), `LCG_SERVER_HOST` (default `localhost`) — HTTP server settings
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## Flags
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- `--file, -f` read part of prompt from file
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- `--sys, -s` system prompt content or ID
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- `--prompt-id, --pid` choose built-in prompt (1–5)
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- `--timeout, -t` request timeout (sec)
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- `--no-history, --nh` disable writing/updating JSON history for this run
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- `--debug, -d` show debug information (request parameters and prompts)
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- `--version, -v` print version; `--help, -h` help
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## Commands
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- `models`, `health`, `config`
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- `prompts list|add|delete`
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- `test-prompt <prompt-id> <command>`
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- `update-jwt`, `delete-jwt` (proxy)
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- `update-key`, `delete-key` (not needed for ollama/proxy)
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- `history list` — list history from JSON
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- `history view <index>` — view by index
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- `history delete <index>` — delete by index (re-numbering)
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- `serve` — start HTTP server to browse saved results (`--port`, `--host`, `--browser`)
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- `/run` — web interface for executing requests
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- `/execute` — API endpoint for programmatic access via curl
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## Saving results
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Files are saved to `LCG_RESULT_FOLDER` (default `~/.config/lcg/gpt_results`).
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- Command result: `gpt_request_<MODEL>_YYYY-MM-DD_HH-MM-SS.md`
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- `# <title>` — H1 with original request (trimmed to 120 chars: first 116 + `...`)
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- `## Prompt`
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- `## Response`
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- Detailed explanation: `gpt_explanation_<MODEL>_YYYY-MM-DD_HH-MM-SS.md`
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- `# <title>`
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- `## Prompt`
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- `## Command`
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- `## Explanation and Alternatives (model: <MODEL>)`
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## History
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- Stored as JSON array in `LCG_RESULT_HISTORY`.
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- On new request, if the same command exists, you will be prompted to view or overwrite.
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- Showing from history does not call the API; the standard action menu is shown.
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## Browser Integration
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The `serve` command supports automatic browser opening:
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```bash
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# Start server and open browser automatically
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lcg serve --browser
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# Use custom browser
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export LCG_BROWSER_PATH="/usr/bin/firefox"
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lcg serve --browser
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# Start on custom host/port with browser
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lcg serve --host 0.0.0.0 --port 9000 --browser
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```
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Supported browsers (in priority order):
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- Yandex Browser (`yandex-browser`, `yandex-browser-stable`)
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- Mozilla Firefox (`firefox`, `firefox-esr`)
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- Google Chrome (`google-chrome`, `google-chrome-stable`)
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- Chromium (`chromium`, `chromium-browser`)
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## API Access
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The `serve` command provides both a web interface and REST API:
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**Web Interface:**
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- Browse results at `http://localhost:8080/`
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- Execute requests at `http://localhost:8080/run`
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- Manage prompts at `http://localhost:8080/prompts`
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- View history at `http://localhost:8080/history`
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**REST API:**
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```bash
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# Start server
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lcg serve
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# Make API request
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curl -X POST http://localhost:8080/execute \
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-H "Content-Type: application/json" \
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-d '{"prompt": "create directory test", "verbose": "vv"}'
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```
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**Response:**
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```json
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{
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"success": true,
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"command": "mkdir test",
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"explanation": "The mkdir command creates a new directory...",
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"model": "hf.co/yandex/YandexGPT-5-Lite-8B-instruct-GGUF:Q4_K_M",
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"elapsed": 1.23
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}
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```
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For complete API documentation, see `API_GUIDE.md`.
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For full guide in Russian, see `USAGE_GUIDE.md`.
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