marfrit 955bd82efb safety + repl: wire secrets into safety.lua (closes #52)
Closes the last #13 gap — Norris broker call + is_destructive LLM
second-opinion probe were the two egress points NOT covered by the
scrub-at-egress design in commit d852aca.

Approach: option (b) per #52's fix sketch — callback-via-helpers/opts.
safety.lua does NOT gain a require("secrets") dependency (acceptance
criteria 3); integration is purely through the convention the rest
of the helpers table already uses.

safety.lua changes:

  - llm_probe gains an opts table. When opts.scrub_msgs is set, the
    {system, user(cmd)} message pair is scrubbed before broker.chat.
    When opts.rehydrate is set, the YES/NO reply is rehydrated before
    parsing (defensive — the verdict shouldn't carry placeholders but
    rehydration is a safe no-op if it doesn't).

  - llm_second_opinion threads opts through to llm_probe.

  - M.is_destructive(cmd, cfg, opts) — opts optional; nil-opts is
    backwards-compatible (no scrub, original behavior).

  - M.norris_step:
      * outbound broker.chat_stream message scrubbed via
        helpers.scrub_msgs(ctx:to_messages(), model_cfg) when provided.
      * on_delta wrapped with helpers.streaming_rehydrator():push /
        :flush so the user sees rehydrated text AND text_parts
        accumulates rehydrated chunks (parity with ask_ai in repl.lua).
      * both M.is_destructive call sites (tool_call probe + CMD: probe)
        now pass probe_opts = {scrub_msgs, rehydrate} when the
        helpers carry them.

repl.lua changes:

  - Norris helpers table gains scrub_msgs / rehydrate /
    streaming_rehydrator closures, all nil-safe (return identity /
    nil when secrets_session is nil).

  - :safety check meta passes probe_opts to is_destructive when
    secrets_session is configured. Without secrets, behavior unchanged.

Unit-test verified end-to-end:
  - Stubbed broker.chat captures the messages it receives.
  - Without opts: probe SEES `ghp_realsecretvalue_...` (control).
  - With opts: probe sees `$AISH_SECRET_NNN` (correct scrub).

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

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 22:40:30 +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%