SmartCLI — drive terminal TUIs

io.github.dwgx由 GitHub 帳號 dwgx 發布v0.3.5更新於 Oct 24, 2026

Let agents drive vim, htop, lazygit: send keys, wait on screen state, read the rendered cell grid.

發布方自己的服務:Terminal Tax

已驗證STDIO僅桌面瀏覽器自動化開發者工具

概覽

AI 產生的概覽

一個本機 MCP 伺服器,讓助理透過送出按鍵、等待畫面狀態並讀取算繪後的儲存格網格,來驅動 vim、htop、lazygit 等互動式終端程式。

可以做什麼
在 PTY 下啟動與關閉執行指定指令的常駐終端工作階段,可設定欄數與列數,並可選擇啟用子程序結束偵測,讓程式崩潰時等待提早結束。對工作階段送出按鍵或整行輸入,並等待正規表示式符合或畫面穩定,而不是盲目休眠。讀回算繪後儲存格網格的結構化快照,讓助理判斷哪一列選單被標示或全螢幕程式目前顯示什麼。也可透過命令列或 Python 函式庫使用同樣的操作,另有獨立的終端藝術與版面技能。
適用情境
當助理需要端到端操作真實的終端全螢幕程式時適用,例如瀏覽 TUI 選單、翻頁查看輸出、回答 y/N 提示或在 vim 中編輯檔案,並且需要依據畫面實際顯示而非位元組串流來確認每一步。
執行需求
以 stdio 程序在本機執行,從 PyPI 安裝 smartcli-toolkit,並以 uvx 或 smartcli-mcp 指令啟動。需要 Python 3.10 或更新版本;Windows 上使用 pywinpty 後端,POSIX 上使用標準函式庫 pty。未宣告任何帳號、API 金鑰或環境變數。
安裝前請注意
此伺服器會在使用者機器上啟動並控制真實程式,並對其送出按鍵,因此時機錯誤或按錯的按鍵序列可能變更或刪除所驅動程式中的資料,包括編輯器中開啟的檔案。工作階段會保留到關閉為止,而關閉可能被回報為未確認,因此可能殘留子程序。README 指出錯誤的畫面模型可能無聲無息地什麼都沒完成,因此應獨立核實結果。

安裝

在 SourceWeft 中

  1. 開啟 儀表板中的 SmartCLI — drive terminal TUIs,將其新增到工作區。
  2. 為需要使用其工具的對話啟用該服務。

Desktop only,透過 STDIO。 STDIO 服務會啟動本機處理程序,因此需要 SourceWeft 桌面主機。

其他 MCP 客戶端

參照 儲存庫 中的啟動說明。

README

SmartCLI

Read this in: English · 简体中文 · 繁體中文 · 日本語 · 한국어

A local Python toolkit for driving, perceiving, and rendering the terminal — three agent skills over one pluggable PTY + pyte core.

[PyPI] [Python] [CI] [codecov] [License: MIT] [Downloads] [Skills: 3] [Platform]

Let an AI drive, perceive, and render real terminal programs. SmartCLI reads the actual screen with a pyte cell model — not a byte pipe — so it knows which menu row is highlighted, presses the right keys, and waits for the screen to settle. Below: it drives the real lazygit TUI end-to-end (arrow-key navigation, opening a commit diff, highlighting a branch) — no script, no mock.

[SmartCLI driving the real lazygit TUI: navigating panels, opening a commit diff, highlighting a branch]

bash
pip install smartcli-toolkit

Requires Python 3.10 or newer. The install includes the shared Python library, the persistent TUI driver, and the stdio MCP server.

Drive something in 30 seconds

Copy-paste this. It starts a real Python REPL under a PTY, waits for the prompt (never a blind sleep), types into it, and reads the screen back:

bash
pip install smartcli-toolkitSID=$(smartcli-tui start --cmd "python3 -i -q" --cols 80 --rows 24 --json | python3 -c "import json,sys;print(json.load(sys.stdin)['sid'])")smartcli-tui wait-regex --id $SID ">>> " --timeout-ms 15000smartcli-tui send-line --id $SID "print(6*7)"smartcli-tui wait-regex --id $SID "42"          # prints the cell grid it seessmartcli-tui close --id $SID

On Windows use --cmd "py -i -q". Swap the command for vim, htop or lazygit and the same five verbs drive those too — that is the whole point: wait-regex and friends react to what the screen actually shows, so an agent never guesses whether its keystroke landed.

Want the same thing against a real editor, end to end and verifiable? examples/drive_vim.py drives the actual vim binary — opens a file, appends a line, saves, and then checks the filesystem, not the screen:

bash
python examples/drive_vim.py#   [OK ] vim painted its screen#   [OK ] file contents visible on screen#   [OK ] alternate screen is active#   [OK ] vim entered insert mode (so G and o both landed)#   [OK ] typed text appears on screen#   [OK ] vim restored the main screen on exit#   [OK ] file on disk really changed

Note the fourth step. It is there because the example itself once sent five keystrokes back to back with nothing between them, and under load vim had not processed G by the time o arrived, so nothing was inserted and the run failed with no useful diagnosis. Confirming insert mode proves both keys landed — the same discipline the tool exists to provide, applied to its own demo.

Run the same file against smartcli-toolkit==0.1.8 and two steps fail — and the file is never saved, because a driver that cannot see the alternate screen mistimes the :wq. That is why the emulation work below matters: a wrong screen model does not error, it silently succeeds at nothing.

Already running an MCP client (Claude Code, Cursor, VS Code)? The same verbs are MCP tools, with the per-session token attached for you:

bash
smartcli-mcp        # stdio MCP server; or `uvx --from smartcli-toolkit smartcli-mcp`

What & why

SmartCLI is a workspace for terminal work that agents and humans both do: driving interactive terminal programs, perceiving what a screen actually shows, and rendering visuals and layouts back out. It is built on one shared, pluggable PTY backend plus a pyte screen model — chosen over screenshot/vision so a single structured screen model feeds both perception (read the screen) and rendering (draw the screen). The PTY layer is intentionally not tmux-bound: local dev runs on Windows via ConPTY (pywinpty), while target programs can run under POSIX ptys or tmux elsewhere. Three skills sit on that core, each a self-contained tool you run in place from the checkout.

Driving a real TUI

The demo above is SmartCLI driving lazygit — a real full-screen curses app — through its perceive → act → confirm loop: it reads the pyte cell grid (which row is selected, the alt-screen diff), moves with arrow keys, opens a commit's diff, and highlights a branch. Captured by driving the actual program in a Linux container, not scripted or mocked. A byte-stream matcher like pexpect can't perceive "which row is highlighted"; a screen model can.

How we know the perception is right. A screen model is only useful if it matches what a real terminal shows, so we measure that instead of asserting it: identical bytes go to a real tmux pane and to our model, and the two cell grids are diffed. Three suites do it — 34 curated cases, a three-way check that only trusts a behaviour when tmux and GNU screen agree, and a generative fuzz over random VT sequences. That campaign found and fixed 12 emulation bugs, including the alternate screen buffer (pyte implements none of modes 1049/1047/47, so a full-screen program's output used to be painted over the main screen and never restored). Scope and remaining edges: LIMITATIONS.md.

Live effects

Real captures of the cmd-art fx engine — each GIF is the actual effect rendered frame-by-frame through the project's own pipeline (no screen recorder). Reproduce any with python -m fx play <name> (see Quickstart).

[ASCII solar system orrery — planets orbiting a pulsing sun]
solarsystem — an orrery: planets on elliptical orbits around a pulsing sun

[donut][fire][rain]
donut — the classic ASCII torusfire — demoscene heat fieldrain — Matrix digital rain

🌐 Explore the live showcase → — play with the effect engine, drive a menu with arrow keys, and poke the widgets, right in your browser.

Install

Just want the three Claude Code skills? Download one zip, unzip it, done — no git, no pip, no marketplace:

bash
curl -LO https://github.com/dwgx/SmartCLI/releases/latest/download/smartcli-skills.zip
bash
unzip smartcli-skills.zip -d ~/.claude/skills/

That gives you cmd-art, drive-tui and tui-ui (309 KiB total). cmd-art and tui-ui then work with nothing but CPython 3.10+ — verified on a bare virtualenv, all 30 effects and all 17 widgets load. drive-tui additionally needs pyte, which the PyPI install below provides. Or install all three via the plugin marketplace: /plugin marketplace add dwgx/SmartCLI.

Primary — from PyPI (the library, the CLI, and the MCP server):

bash
pip install smartcli-toolkit

Distribution vs import name: the PyPI distribution is smartcli-toolkit (the names smartcli / smart-cli were taken or blocked), but the importable package is smartcli_core. So after pip install smartcli-toolkit you still write from smartcli_core import PtySession.

Alternative — reproduce the full dev environment from a source checkout:

bash
git clone https://github.com/dwgx/SmartCLI SmartCLIcd SmartCLIpython -m pip install -r requirements.txt

requirements.txt installs pyte, the MCP SDK, and pywinpty on Windows only (POSIX uses the stdlib pty backend). pip install . installs smartcli_core plus the smartcli-tui, smartcli-mcp, and smartcli-toolkit commands. The visual cmd-art and tui-ui skills still run in place from a checkout via python -m fx and python -m ui.

Optional extras (real FIGlet fonts, raster images, authoritative cell widths — all degrade gracefully to stdlib fallbacks when absent):

bash
python -m pip install -r requirements-optional.txt# or, from the checkout, via pyproject extras:pip install ".[all]"        # pyfiglet + Pillow + wcwidthpip install ".[art]"        # pyfiglet onlypip install ".[image]"      # Pillow only  (also: the PNG screenshot harness needs it)pip install ".[width]"      # wcwidth only

Windows note: set UTF-8 output before running any skill so box-drawing and CJK glyphs encode cleanly (the CLIs also auto-reconfigure stdout, but set this to be safe):

powershell
set PYTHONIOENCODING=utf-8

Verified dep versions on the dev box (Windows 11, CPython 3.14.6): pyte 0.8.2, pywinpty 3.0.5, pyfiglet 1.0.4, Pillow 12.2.0, wcwidth 0.8.1.

Diagnostics. python -m smartcli_core prints your OS, Python, terminal, PTY backend, and dependency versions. smartcli-tui doctor reports where the core was loaded from and whether drive dependencies are present. Include both outputs when filing a terminal-sensitive bug.

Quickstart

cmd-art — terminal visual effects

bash
cd skills/cmd-artpython -m fx list                          # list all 30 effectspython -m fx play donut --seconds 5        # play one effect (bounded)python -m fx gallery                       # one frame of each effectpython -m fx show --seq "donut:fire:3,plasma::3"

tui-ui — cell-accurate terminal UI

bash
cd skills/tui-uipython -m ui widgets                       # list all 17 widgetspython -m ui gallery --width 100 --height 30python -m ui demo table --width 80 --height 12 --theme dashboard

drive-tui — perceive & drive interactive programs

Persistent-session CLI (state survives across shell calls):

bash
smartcli-tui start --cmd "python3 -i -q" --cols 80 --rows 24smartcli-tui wait-regex --id <SID> ">>> " --timeout-ms 15000smartcli-tui send-line --id <SID> "print(6*7)"smartcli-tui snapshot --id <SID>smartcli-tui close --id <SID>

On Windows use py -i -q as the child command. From a source checkout, replace smartcli-tui with python skills/drive-tui/scripts/tui.py.

Or drive from any MCP client — the same verbs as MCP tools, with the per-session token attached automatically:

bash
pip install smartcli-toolkitsmartcli-mcp     # stdio MCP server; smartcli-toolkit is an equivalent alias

As a library

The shared core is importable directly:

python
import sysfrom smartcli_core import PtySession
s = PtySession()s.start([sys.executable, "-q"])s.wait_for(r">>> ")            # readiness sync, never a blind sleepprint(s.snapshot().to_text())  # pyte-backed structured screens.close()

For the full command reference, the screenshot/AGENTCLI harnesses, and the regression suite, see README-USAGE.md.

Features

cmd-art (skills/cmd-art) — a "living-template" effect engine: an Effect ABC + @register decorator + auto-discovery. 30 effects (donut, solarsystem, fire, plasma, rain, starfield, tunnel, text3d, cube, sphere, boids, life, fireworks, sparkle, decrypt, gradient_text, banner_scroll, image2ascii, typewriter, julia, mandelbrot, perlin, flames, water, nebula, text_flyin, text_converge, text_decrypt, spectrum_bars, cbonsai) across 8 themes (mono, fire, ocean, synthwave, viridis, pastel, matrix-green, rainbow). Effects are pure frame producers; play is bounded by default and always restores the terminal.

tui-ui (skills/tui-ui) — a web-like terminal layout engine emitting tmux-safe ANSI frames (SGR color runs + newlines only; no cursor moves, no alt-screen). 17 widgets (badge, banner, braille_chart, card, fuzzy_filter_list, gradient_rule, kv, meter, panel, preview_pane, progress, radial_glow, rule, slider_track, table, tabs, tree) over an engine of two modules the render path actually calls — field.py (shader compositors) and raster.py (sub-cell half/quad/braille pixels). Two further helpers, box_junction.py and color_model.py, shipped unwired through 0.3.2 and were removed in 0.3.3: nothing imported them, and tui-ui has no auto-discovery over ui/, so no caller could ever reach them. Display-cell accurate for CJK/emoji/ZWJ so columns never desync.

drive-tui (skills/drive-tui) — drives interactive terminal programs (REPLs, menus, pagers, y/N prompts, wizards) through a PTY via a perceive → decide → act → wait → confirm loop, never a blind sleep. A thin CLI (scripts/tui.py) offers a persistent detached session and a one-shot run mode, with an importable pattern library of 8 recipes (repl, menu_select, pager, search_filter, confirm, form, progress, wizard) that classify() a screen and drive() it.

Where the wait capabilities live. The wait family can end when the child process dies rather than sitting out the remaining timeout — a program that crashes on your first input then costs one poll cycle instead of the whole ceiling. It is opt-in and off by default: start --detect-child-exit / run --detect-child-exit, or detect_child_exit on the MCP start tool. Off is exactly the previous behaviour. On, every wait reply carries exited, and wait reports reason=EXITED. Three other core capabilities — the screen-revision wait baseline, the terminal-mode registry, and the session event log — are library-only: they are importable from smartcli_core and are deliberately not on the CLI or MCP surface. See CHANGELOG.md (Unreleased) for the reasoning per capability.

Shared core (smartcli_core) — the pluggable PTY backend + pyte screen model + semantic snapshot + readiness sync (pty_backend / screen_model / snapshot / readiness / session). The reusable, importable foundation under all three skills. Since 0.3.0 a budgeted read path and an io block travel with every observation, so a caller can tell quiet from not read yet (local_cut, byte watermarks, pending facts — unknown values are null, never 0), STABLE requires a drained observation, and close reports closed_confirmed or close_unconfirmed with the last progress instead of assuming a returned native call means the child is gone.

Knowledge graph (knowledge/) — a wiki-link graph (140+ .md files) of exact rendering formulas, ANSI sequences, and measured constants, each note carrying a source and cross-links. See knowledge/INDEX.md.

Project layout

text
SmartCLI/  smartcli_core/           shared PTY + pyte engine (importable package)  skills/cmd-art/          fx effect package and CLI (30 effects, 8 themes)  skills/drive-tui/        TUI pattern library and PTY driver CLI (8 recipes)  skills/tui-ui/           terminal UI layout engine and widgets (17 widgets)  tools/screenshot/        pyte -> PNG smoke-test harness  tools/agentcli/          agent-CLI control validation harness  knowledge/               wiki-link knowledge graph, 140+ .md files (see knowledge/INDEX.md)  showcase/                rendered effect PNGs + demo GIFs (shown above)  tests/                   direct script-style regressions  research/                archived first-pass research notes

Documentation

  • README-USAGE.md — the full usage cheat-sheet: every skill, the screenshot and AGENTCLI harnesses, and the regression commands.
  • knowledge/INDEX.md — the knowledge graph (140+ .md files).
  • AGENTCLI-VALIDATION.md — agent-CLI control test matrix.
  • CHANGELOG.md — release history.
  • Verification evidence tree — archived 2026-10-01. The former verification/ directory (receipts, probes, historical harness revisions) is no longer part of this repository, and is not distributed with the package. It was moved byte-for-byte, so nothing was deleted. It was pulled out because it held 8 stale copies of smartcli_core/screen_model.py taken before three bug fixes, so a repo-wide search returned pre-fix code. The sha256 pins inside it still resolve — they name files that stayed in the repository.

License

MIT — see LICENSE.

來源:README.md,提交 ccf3472

工具

0
SourceWeft 尚未在沙箱中啟動過該軟體包,因此其工具未知。

版本歷史

3
  1. v0.3.5最新Oct 11, 2026
  2. v0.3.4Oct 1, 2026
  3. v0.3.2Sep 16, 2026

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