SmartCLI — drive terminal TUIs

io.github.dwgx由 GitHub 账号 dwgx 发布v0.3.5更新于 Oct 24, 2026

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

发布方自己的服务:Terminal Tax

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概览

AI 生成的概览

一个本地 MCP 服务器,让助手通过发送按键、等待屏幕状态并读取渲染后的单元格网格,来驱动 vim、htop、lazygit 等交互式终端程序。

可以做什么
在 PTY 下启动和关闭运行指定命令的持久终端会话,可设置列数与行数,并可选启用子进程退出检测,使程序崩溃时等待提前结束。向会话发送按键或整行输入,并等待正则匹配或屏幕稳定,而不是盲目休眠。读回渲染后单元格网格的结构化快照,让助手判断哪一行菜单被高亮或全屏程序当前显示什么。也可通过命令行或 Python 库使用同样的操作,另有独立的终端艺术与布局技能。
适用场景
当助手需要端到端操作真实的终端全屏程序时适用,例如浏览 TUI 菜单、翻页查看输出、回答 y/N 提示或在 vim 中编辑文件,并且需要根据屏幕实际显示而非字节流来确认每一步。
运行要求
作为 stdio 进程在本地运行,从 PyPI 安装 smartcli-toolkit,并用 uvx 或 smartcli-mcp 命令启动。需要 Python 3.10 或更高版本;Windows 上使用 pywinpty 后端,POSIX 上使用标准库 pty。未声明任何账户、API 密钥或环境变量。
安装前请注意
该服务器会在用户机器上启动并控制真实程序并向其发送按键,因此时机错误或按错的按键序列可能改动或删除所驱动程序中的数据,包括编辑器中打开的文件。会话会一直保留到关闭,而关闭可能被报告为未确认,因此可能残留子进程。README 指出错误的屏幕模型可能悄无声息地什么都没做成,因此应独立核实结果。

安装

在 SourceWeft 中

  1. 打开 控制台中的 SmartCLI — drive terminal TUIs,将其添加到工作区。
  2. 为需要使用其工具的对话启用该服务。

Desktop only,通过 STDIO。 STDIO 服务会启动本地进程,因此需要 SourceWeft 桌面宿主。

其他 MCP 客户端

参照 仓库 中的启动说明。

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.

来源:README.md,提交 ccf3472

工具

0
SourceWeft 尚未在沙箱中启动过该软件包,因此其工具未知。

版本历史

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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