marfrit 467e573d24 docs/PHASE8: review fold-in — 2 BLOCKERs + 4 CONCERNs + 4 NITs
Sonnet-reviewed per reviews-use-sonnet memory directive.

BLOCKERs (RESOLVED in-place):

R1. §5 estimate_tokens pseudocode missing per-turn cache pattern.
    Prose described it; code block called tokenize_fn unconditionally.
    Implementer following code verbatim would hit the O(N round-
    trips per call) perf gap the prose flagged. Code block now
    shows explicit `if t._tokens then ... else t._tokens = ... end`.

R2. enforce_budget loop can spin forever when system_prompt alone
    exceeds token_budget (e.g. 5KB project block + budget=4096 +
    zero turns -> turns can't shrink further but OR-condition stays
    true). Fix: AND `#self.turns > 0` guard on the loop. §13 commit
    3 row shows the explicit Lua-syntax condition.

CONCERNs (FOLDED):

R3. :cost detail per-slot ~est=N annotation was semantically
    undefined — accumulator sum (cumulative across calls + evicted
    turns) vs current-snapshot estimate are incommensurable. §6
    reworked: ONE trailing summary line "[estimated session ctx:
    N tokens; token_budget=M (X% used)]" instead of per-slot
    annotations. §13 commit 4 aligned.

R4. tokenize_fn closure MUST reference active_cfg as upvalue (NOT
    capture by value). Subtle but easy to miss — §13 commit 4 now
    spells out the correct vs wrong patterns explicitly.

R5. 2s tokenize timeout can spuriously cache-as-unsupported when
    llama.cpp is busy with a concurrent completion (single-threaded
    inference; /tokenize queues behind). Documented in §9; v1
    ships 2s, revisit during verify if it bites.

R6. Per-endpoint cache key conflated two same-endpoint/different-
    model presets (B1: /tokenize ignores the model field). Cache
    key simplified to endpoint-only. One probe per endpoint per
    session; if a future broker honors the model field, revisit.

NITs (APPLIED):

N1. §13 commit 3 `OR`/`AND` -> Lua-syntax `or`/`and`.
N2. §10 Q-T5 Resolution-target cell filled in (was blank after B1).
N3. §6 / §8 / §13 commit 4 now describe a CONSISTENT approach
    (trailing summary line; per-slot annotation dropped).
N4. Status header tree-hash updated to current (aa64ad3 -> stays
    fresh through review fold-in; commit 5 will refresh again
    at "Implement" status).

PHASE8.md now 622 lines (was 454 after plan). +168/-61. Ready for
implementation phase 6 of the inner loop.

Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
2026-05-16 23:28:27 +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%