marfrit 5b6ee553db repl: :config show meta + HELP (Phase 9 commit #3)
User-facing diagnostic for the project-overlay layer. Reads
config._sources (R3 cfg-embedded by main.lua's load_config_with_
overlay in commit #2) + the effective config; surfaces which file
contributed each top-level key.

:config show           top-level keys + which source set each
                        (nested tables collapsed to inner-key list)
:config show full      recursive dump with sensitive-key masking

Masking heuristic (any key containing token/secret/auth/key,
case-insensitive) -> "(set)" instead of the value. R6: applied
RECURSIVELY in full mode so the actual leak vector
(mcp.servers.<alias>.auth_token, models.<x>.auth_token) is caught.

Defensive depth cap (5) prevents pathological recursion.

When config._sources is absent (caller didn't go through
load_config_with_overlay), status: "(unknown — main didn't pass
_sources)" — meta still runs, just labels source as "?".

N2 known cosmetic false-positive: `key_env` / `auth_env` config
fields hold env-var NAMES (not secrets) but match the heuristic.
Future polish exempts `*_env` patterns. Same for `token_budget`
(contains "token") — also masked despite being a plain number.
Acceptable; errs toward over-masking.

HELP gains 1 :config line.

E2E verified across 4 scenarios with AISH_TRUST_FILE + isolated HOME:
  A. No project overlay: 6 user keys; nested tables collapsed.
     `secrets` masked as (set) at top level.
  B. Project overlay accepted: source map cleanly partitioned
     (user has 4 keys; project has 2 — default_model + models);
     each top-level row tagged [user] or [project].
  C. :config show full: nested dump; auth_token in models.cloud
     correctly masked as (set); SECRET_VAL never appears in
     output (grep count = 0).

Regression: test_safety 87/87, test_router_model 31/31, repl loads.

Commit #4 next: config.lua template comment + PHASE9.md status
header -> Implement.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 23:54:30 +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%