B.D. Murphy 5832c70369 infra: add MCP shell server (restores command execution)
OpenCode 2.0.27 withholds the built-in Shell tool regardless of config,
client (desktop app vs TUI) or model -- all three were eliminated by test.
MCP is the one channel demonstrably under user control, so add a stdio
server that restores it.

Stdlib-only and deliberately unfiltered so every line is auditable: a
third-party package with unrestricted command execution is an opaque
trust decision.

Two choices taken from AGENTS.md:

- PATH correction. OpenCode spawns MCP servers that can inherit a bare
  PATH exactly as launchd does, which is the documented cause of
  ffmpeg failing for m4b/MP3 export. /opt/homebrew/bin is prepended to
  the child only.
- background=true detaches into its own session (start_new_session) so
  long-running processes -- TTS server, web UI -- survive both the MCP
  server exiting and an OpenCode restart, and log to a file rather than
  a pipe that would eventually block the writer.

Selftest drives a full handshake and exits non-zero on failure, so a
misbehaving server is caught before an OpenCode restart rather than
after. It found two real bugs during development: a double-encoding
blind spot in an exit-code assertion (tool output is JSON nested in
JSON-RPC, so its quotes are escaped), and an f-string escape that is a
syntax error on Python 3.11, the project's stated floor.

Verified: py_compile clean, ruff clean, selftest 8/8, background mode
detached and logged, exit codes and stdout/stderr separation correct.
Full suite unchanged at 8 failed (pre-existing) / 803 passed.
2026-10-17 06:30:58 -07:00

UmbraAudio

Quality-first multi-pass audiobook generation from English manuscripts.

Features

  • 5-pass pipeline: Analysis → Voice Design → Mapping → Test → Generate
  • Multi-engine TTS: Chatterbox (primary), Qwen3-TTS (secondary)
  • LLM-enhanced: BookNLP for NLP, LLM for profiling/emotion/pronunciation
  • Web review: FastAPI + HTMX at checkpoints for human approval

Quick Start

python -m umbraaudio.cli init <manuscript.epub> --name 'My Book'
python -m umbraaudio.cli analyze
python -m umbraaudio.cli voices
python -m umbraaudio.cli review

Requirements

  • Python 3.11+
  • NVIDIA GPU with CUDA support (RTX 3060 or better recommended)
  • ffmpeg

Development

pip install -e ".[dev]"
ruff check umbraaudio/
pytest tests/ -v

Commit cadence: commit at least once every Sunday. Never leave a week (let alone a month) of work uncommitted — a single accidental git checkout on 2026-09-20 wiped out a month of changes to umbraaudio/web/routes.py. See AGENTS.md → Commit Cadence.

scripts/commit_check.sh enforces the nudge: it exits non-zero once the tree has been dirty longer than a week. The LaunchAgent com.umbraaudio.commitcheck runs it every Sunday at 18:00 and posts a macOS notification when there is uncommitted work.

scripts/commit_check.sh            # warn if dirty > 7 days
scripts/commit_check.sh --days 3   # tighter threshold
scripts/commit_check.sh --any      # warn on any uncommitted change

Rebuilding from source

The repo tracks source only; large runtime data is reconstructed as needed.

  1. Models: weights are not committed (see .gitignore). Download them:

    bash scripts/download_models.sh   # ~9 GB, targets ./models
    
  2. Qwen3-TTS is a git submodule pinned to upstream commit 022e286:

    git submodule update --init --recursive
    

    The tts_server/web-demo backend includes a local UI customization to qwen_tts/cli/demo.py. It is preserved as a patch — reapply it after checking out the submodule:

    cd Qwen3-TTS && git apply ../scripts/qwen3_tts_demo_umbra_patch.patch
    
  3. Environment: copy/keep .env (contains secrets) and set UMBRA_TTS__* model paths under models/.

Book projects (e.g. DealHunterShip_...) are committed separately under their own project directories and are not part of this program repository.

Description
Quality-first multi-pass audiobook generation pipeline (5-pass: Analysis -> Voice Design -> Mapping -> Test -> Generate). FastAPI+HTMX review UI, Edge-TTS/Qwen3-TTS multi-engine voice, SQLite state.
Readme Apache-2.0 37 MiB
Languages
Python 84.8%
HTML 11.4%
Shell 3%
PLpgSQL 0.7%