marfrit 00869ba412 docs/PHASE8: formulate — accurate tokenization (resolves Q1)
Phase 8 formulate manifest + PHASE0 §11 amendment to add the Phase 8
row (substrate amendment per CLAUDE.md §3 lands same commit).

Four pillars:

  1. Per-endpoint /tokenize probe (cached). One round-trip on first
     call per (endpoint, model); capability cached for session.
     hossenfelder + llama.cpp expose <endpoint>/tokenize (NOT /v1/
     tokenize — per real probe; the path is endpoint-local, not
     under the OpenAI /v1 prefix). Cloud (OpenRouter) 404s — silent
     char/4 fallback.

  2. broker.token_count(model_cfg, text) — thin wrapper; tries probe,
     falls back to char/4 on miss. Always returns non-negative int;
     never errors. 2s tight timeout; failures cache as not-supported.

  3. Context:estimate_tokens widened. Accepts optional tokenize_fn at
     Context.new; uses it when present, char/4 otherwise. repl.lua
     wires `tokenize_fn = function(text) return broker.token_count(
     active_cfg, text) end` when cfg.tokenize.use_endpoint = true.
     Per-turn _tokens cache to amortize across estimate calls.

  4. :cost detail est-vs-actual annotation. When the heuristic
     disagrees with the actual prompt_tokens from broker usage by
     >10%, show `~est=N`. Silent otherwise. Display-only; no
     behavior change.

Resolves Q1 (PHASE0 §13, originally Phase 3) — replace char/4
heuristic on Context:estimate_tokens. Originally targeted at Phase 3
but deferred forward each iteration; now lands.

Baseline already observed during formulate:
  - /v1/tokenize -> 404 on hossenfelder; /tokenize -> works
  - Body shape: {content: "..."} returns {tokens: [N1, N2, ...]}
  - Accuracy gap: char/4 UNDERESTIMATES by ~10% on real code/prose
    (508 vs 558 on a 2KB README sample). Material for context-
    budget eviction decisions.

Doc covers scope + done-when, tech decisions table, module changes,
per-pillar deep dives, UX surface, out of scope, 6 risk rows, 6
open questions (Q-T4/T5 baseline-bound, others analyze-bound).

Scope confirmed via AskUserQuestion: tokenization (chosen over
cross-session cost persistence and hard rate-limit enforcement).

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 23:19:53 +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%