marfrit 1a136d81b7 docs/PHASE8: analyze — adds pillar 5 (enforce_budget honors token_budget)
Status: Formulate -> Analyze. 12 findings (A1-A12); 5/6 open Qs
resolved in-place (Q-T5 deferred to baseline).

MAJOR FINDING:

A1. enforce_budget ONLY checks max_turns, NOT token_budget — even
    with accurate tokenization, eviction decisions are unaffected.
    The new estimate_tokens() would just feed the prompt template
    display. Pillar 5 added: enforce_budget evicts when EITHER
    max_turns OR token_budget is exceeded. This is the real
    motivation for accurate tokenization.

Other findings:

A2.  ffi.curl.M.post signature confirmed (body, status) / (nil, err).
A3.  Single caller of estimate_tokens today; enforce_budget becomes
     the second (more frequent) caller — per-turn _tokens cache
     becomes important.
A4.  Q-T1: cache lives on turn dict; dies with turns on :reset.
A5.  Q-T2: closure captures active_cfg upval; follows :model switch
     naturally.
A6.  Q-T3: opt-out skips the probe entirely (no wiring).
A7.  Q-T6: tools-schema tokens deferred to follow-up (fixed per
     session; under-count bounded).
A8.  _tokens cache invalidation: only :reset; turn content is
     immutable after append.
A9.  Probe latency ~50ms/call locally; per-turn cache amortizes to
     O(1) after first count.
A10. estimate_tokens called OUTSIDE streaming callback; no race.
A11. role:"tool" turns tokenize identically; per-turn cache works.
A12. include_usage (Phase 7) and tokenize (Phase 8) are orthogonal —
     different endpoints, different code paths.

§1 expanded to 5 pillars (pillar 5 = enforce_budget extension).
§3 context.lua row updated to reference the enforce_budget change
+ per-turn _tokens cache. §9 risk row added: accurate counts mean
the default token_budget=4096 is finally ENFORCED — sessions that
spilled silently under char/4 may now evict earlier.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 23:21:24 +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%