marfrit 4407029296 docs/PHASE6: plan — fold B1/B3/B4 + add §12 commit roadmap
Status header: Analyze -> Plan.

Baseline findings folded into the design sections:

  §1 (highlighter pillar) gains B4: tree-sitter absent on every
  probed host; :highlight on emits install-hint when missing.

  §4 (highlighter sketch) revised per B3: io.popen():close() doesn't
  expose exit codes in LuaJIT. Route via executor.exec("cat tmp |
  tree-sitter ...") which uses pty.spawn+waitpid and returns code
  reliably. Tmpfile design retained (avoids ARGMAX + shell-escape).

  §5 (:diff impl + @<r1>..<r2> retry) revised per B1: every git
  invocation must use `--no-pager -c color.ui=never` to suppress
  the color/keypad/line-clear escapes forkpty triggers. Factored
  recommendation: helper `_git_clean_cmd(subcmd)` shared by :diff
  and the @-mention diff retry.

New §12 Implementation Plan — 6 commits, bottom-up:

  1. context.lua: ctx.project + compose_project + composition order
  2. repl.lua: _scan_project_tree helper + :tree meta
  3. repl.lua: :diff meta + _git_clean_cmd helper (B1)
  4. repl.lua: expand_mentions tiered resolution (@<r1>..<r2> per A6)
  5. renderer.lua + repl.lua: tree-sitter detect + fence filter +
     :highlight meta (B3-revised tmpfile dispatch)
  6. config.lua project example + status -> Implement

Per-commit risk index + smoke criteria. Highlighter (commit 5) is
the largest experimental surface — placed last so the rest of Phase 6
ships even if highlighter slips. Order is independent enough that
swapping 3<->4 or 5<->6 doesn't break anything; bottom-up keeps each
commit individually green.

Things deliberately not split: _shq reuse, lang map duplication for
v1, streaming-rehydration order (rehydrate -> highlight -> emit
inherits naturally from existing chunk pipeline).

Two items open at plan time, resolve at implement: _scan_project_tree
dir-arg vs hardcoded getcwd; :highlight status probing
tree-sitter --print-langs.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 22:01:40 +00:00

aish

aish — AI-augmented conversational shell.

A single REPL that interleaves shell command execution and language-model conversation, backed by a llama.cpp HTTP broker. Implementation is LuaJIT 2.x with FFI bindings to libcurl, GNU readline, and libc — no C extensions, no build step, one source tree.

Why

Three flows that currently live in three windows fold into one:

  1. "Run this command and show me the output" — fast feedback loop, no copy-paste between terminal and chat.
  2. "Explain or write code based on the output we just looked at" — exec output is automatically injected into the model's context.
  3. "Plan and execute a multi-step task with confirmation gates" — landing in Phase 3 as Chuck Norris autonomous mode.

aish is not a wrapper around bash. It's a first-class interactive environment where the shell is one of several execution channels.

Status

Component State
Repository skeleton in this commit
Phase 0 manifest docs/PHASE0.md — locked
Phase 0 implementation 🔜 next session
Phase 1+ 📋 enumerated in PHASE0.md §11

Every module file currently raises not implemented (Phase 0 pending) when called. luajit main.lua fails loudly at the first un-implemented function, never silently.

Quick orientation

Read this If you want to know
docs/PHASE0.md §12 What aish is and what Phase 0 ships
docs/PHASE0.md §3 Technology decisions (LuaJIT, FFI, readline, libcurl, llama.cpp)
docs/PHASE0.md §4 Directory layout — these file names are stable across all phases
docs/PHASE0.md §5 How input is dispatched (meta / shell / AI)
docs/PHASE0.md §6 Broker contract: /v1/chat/completions, CMD: extraction
docs/PHASE0.md §10 Config schema and resolution order
docs/PHASE0.md §11 Phase sequence (what lands when)
docs/PHASE0.md §13 Open questions, tracked per phase
CLAUDE.md Project conventions for AI-assisted contributors

Directory layout

aish/
├── main.lua              # entry point
├── repl.lua              # readline loop, dispatch, prompt
├── broker.lua            # llama.cpp HTTP client
├── router.lua            # input classifier (meta/shell/AI)
├── executor.lua          # command exec + CMD: extraction
├── context.lua           # in-memory turn history
├── history.lua           # disk persistence (Phase 1+)
├── safety.lua            # destructive-op gate (Phase 3+)
├── renderer.lua          # output formatting
├── config.lua            # default model registry + preferences
├── ffi/
│   ├── curl.lua          # libcurl easy interface
│   ├── readline.lua      # GNU readline
│   ├── pty.lua           # forkpty (Phase 1+)
│   └── libc.lua          # chdir, errno, strerror
└── docs/
    └── PHASE0.md         # locked substrate

Build / runtime dependencies

System packages (Debian / ALARM / Arch names):

  • luajit (>= 2.0)
  • libcurl4 / libcurl-openssl-3 runtime
  • libreadline8 runtime
  • libc6 runtime (always present)

No compilation, no luarocks, no make. Just luajit main.lua.

Running

Once Phase 0 ships:

luajit main.lua                          # uses ~/.config/aish/config.lua
luajit main.lua --config ./config.lua    # explicit config path
AISH_CONFIG=/path/to/config.lua luajit main.lua

Config resolution order is documented in docs/PHASE0.md §10.

Configuration

config.lua is a Lua file returning a single table. The committed config.lua in this repo is both the canonical example and the development-fallback config (lowest precedence). Copy it to ~/.config/aish/config.lua and edit endpoints to your local llama.cpp servers, or point AISH_CONFIG at your own.

The default endpoints assume mfritsche's home network:

  • fastdirac.fritz.box:8081 (Qwen2.5-Coder-7B q4 8k ctx)
  • deepdirac.fritz.box:8080 (Qwen2.5-Coder-7B q4 32k ctx)
  • cloudhossenfelder.fritz.box:8082 (forwards to OpenRouter)

Replace these with your own llama.cpp endpoints if you're not on that LAN.

License

Not yet selected. Default-private until decided.

Project conventions

See CLAUDE.md for contribution conventions, commit style, and the phase-loop discipline this project follows.

S
Description
AI-augmented conversational shell — LuaJIT REPL with llama.cpp broker, shell executor, and routed AI inference.
Readme MIT 2.2 MiB
Languages
Lua 99.8%
Shell 0.2%