Renames src/fabledassistant -> src/scribe and all imports, plus the
default DB name and DB user/password (fabled -> scribe) in config +
compose. 952 refs / 154 files. Reverses the old 'internal name stays
fabledassistant' convention.
Code-only: live databases are still physically named 'fabledassistant'.
Deployed environments must set POSTGRES_DB / POSTGRES_USER (or rename the
DB) since the defaults now resolve to 'scribe'. Repo (FabledScribe), git
host (fabledsword), MCP (fabled-git) and the image name (fabledscribe)
are intentionally unchanged.
ruff check src/ clean locally; CI (typecheck + pytest) is the gate.
Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
python:3.14-slim doesn't ship curl or wget. The previous voice-download
step assumed it did and failed with "curl: not found" (exit 127) in
build stage 8.
Replaced with a Docker BuildKit heredoc that runs python3 directly,
using urllib.request.urlretrieve. Python is already installed (it's
the base image), so this needs no additional apt packages and keeps
the image footprint identical. The `# syntax=docker/dockerfile:1`
directive at the top of this file already pulls in a BuildKit
frontend that supports heredoc syntax.
The download itself is unchanged: en_US-amy-medium and en_US-ryan-medium
into /opt/piper-voices, with both .onnx and .onnx.json sidecar files.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Kokoro has been stale upstream since April 2025 (`requires_python<3.13`),
which broke the Python 3.14 build. Piper is the active replacement:
maintained by OHF/Home Assistant, depends only on onnxruntime +
pathvalidate (no torch, no spacy, no transformers), and has cp314
support today.
Dockerfile:
- Add `pip install piper-tts` after the STT install.
- Bundle two default voices (en_US-amy-medium, en_US-ryan-medium) into
/opt/piper-voices at build. Additional voices can be downloaded into
/data/voices via the admin UI (separate commit).
- Image add over the STT-only baseline: ~150 MB.
services/tts.py — full rewrite:
- New voice-discovery layer scans /opt/piper-voices + /data/voices for
.onnx + .onnx.json pairs. /data wins over /opt for the same id so
admin-downloaded voices can override bundled defaults.
- Single PiperVoice kept warm; switches via _switch_voice() when the
user changes their voice_tts_voice setting.
- list_voices() returns metadata read from .onnx.json sidecars (label
derived from filename, language, quality, sample_rate).
- synthesise() uses piper's SynthesisConfig; converts kokoro-shaped
`speed` multiplier to piper's `length_scale` (1.0 / speed).
- `voice_blend` parameter accepted but ignored — piper has no blend
equivalent; first entry's voice is used if anything is passed.
- Dropped: HuggingFace commit-hash tracking (~80 lines), the daily
check_for_kokoro_updates task, voice-tensor blending math.
routes/voice.py:
- tts_backend reports "piper" in /api/voice/status.
- /api/voice/voices no longer requires tts_available() — even with
the active voice failed to load, the catalog still lets the user
pick a different one.
- Synthesise request body dropped the voice_blend field; speed and
voice still supported.
alembic 0047_reset_voice_tts_settings:
- Deletes any stored voice_tts_voice (kokoro IDs that don't map to
piper) and voice_tts_blend (no piper equivalent) rows. Both
re-default cleanly on next read.
frontend:
- VoiceBlendEntry type removed from api/client.ts.
- synthesiseSpeech() signature dropped the voiceBlend parameter.
- SettingsView.vue Voice Blend section removed entirely (slider,
preview, slot management). voice_tts_blend save path removed.
- Default voice id changed from "af_heart" to "en_US-amy-medium".
- VoiceEntry gains optional language/quality/sample_rate fields
from the richer piper sidecar metadata.
Voice paths remain lazily guarded — `VOICE_ENABLED=false` (default)
starts the app cleanly regardless of which TTS deps are present.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Previously removed all voice deps from the runtime image because of the
numpy<2 / cp314 wheel chain. Actual upstream check (PyPI 2026-05-21)
shows the chain has resolved for the STT half:
- ctranslate2 v4.7.2 (2026-05-19) ships cp314 wheels
- faster-whisper v1.2.1 is pure Python and works on any supported runtime
- onnxruntime v1.26.0 has cp314 wheels (not used here but shared with
the upcoming piper-tts install)
The blocker was kokoro, not the whole stack. Kokoro has been stale
upstream since April 2025 with a `requires_python='<3.13'` pin; that's
being replaced separately with piper-tts.
This commit restores ONLY STT — faster-whisper + soundfile. No torch
(ctranslate2 does its own CPU inference), no kokoro, no spacy. Image
add: ~150 MB.
Voice code is lazily guarded; STT now works when VOICE_ENABLED=true.
TTS still fails gracefully (kokoro import error logged, voice degrades)
until the piper-tts swap lands.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
CI broke on the build job: kokoro's resolver walks back to a version
that pins numpy<2, which has no cp314 wheel; pip falls back to compiling
numpy from source; python:3.14-slim has no compiler; build fails.
Removing the voice deps install (torch + faster-whisper + kokoro +
soundfile + spacy) from the runtime image:
- unblocks the 3.14 build immediately
- shrinks the image by ~2 GB (torch alone)
- aligns with the explicit operator preference (voice/TTS doesn't pay
off in their workflow; conversational chat will get smaller/faster
with the new no-tools chat model on GPU, so transcription matters
even less)
Voice paths in code are already lazily guarded — TYPE_CHECKING-only
imports plus try/except inside load_stt_model. With VOICE_ENABLED=false
(default), the app starts cleanly with no voice deps installed. With
voice enabled, the import error is caught and logged; the feature
degrades gracefully rather than crashing.
To re-enable voice in a future build, `pyproject.toml` already has the
`voice` extra ready: install it with `pip install .[voice]` plus the
torch index pin, and download spacy en_core_web_sm. Dockerfile comment
documents the path.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Migrate to the FabledRulebook CI-Runner contract:
- .forgejo/workflows/ci.yml: all four jobs (typecheck/lint/test/build)
now schedule on the `python-ci` runner label and run inside
container.image: git.fabledsword.com/bvandeusen/ci-python:3.14
(Python 3.14 + Node 24 + ruff + uv + Docker CLI). Dropped the inline
uv install in the test job — uv is now baked into the image.
- Dockerfile: production runtime bumped to python:3.14-slim so test
results stay representative against what we ship.
- ci-requirements.md: new file at repo root declaring image deps and
per-job installs (per FabledRulebook ci-runners.md).
- infra/Dockerfile.runner-base: deleted. The in-repo runner base
(Ubuntu 24.04 + Python 3.12 + Node 22) is superseded by the shared
ci-python image. The runner-host deployment files
(runner-compose.yml + act-runner-config.yml) stay as deployment-shape
documentation; source of truth is the deployed config.
- docs/development.md: CI/CD + Runner sections refreshed.
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
Background tasks (title generation, tag suggestions, project summaries,
RSS classification) were using qwen3:8b and wiping its KV cache after
every response, preventing prefix cache hits on subsequent user messages.
Adds OLLAMA_BACKGROUND_MODEL (default: qwen2.5:0.5b) config var and
routes all background LLM calls to it, keeping qwen3:8b's KV cache
warm between user messages for consistent sub-second TTFT.
Also adds infinite scroll to KnowledgeView (replaces load-more button)
and bakes spaCy en_core_web_sm into the Docker image to eliminate the
pip install on every startup.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
kokoro and transformers pull full nvidia CUDA wheels by default (~2 GB),
exhausting the runner disk. Pre-installing torch from the CPU wheel index
satisfies the dependency and prevents pip from selecting the CUDA variant.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Add `# syntax=docker/dockerfile:1` to enable BuildKit cache mounts
- Replace `--no-cache-dir` pip installs with `--mount=type=cache,target=/root/.cache/pip`
so torch/CUDA wheels are reused across builds instead of re-downloaded every run
- Add `docker system prune -f` step before build to free dangling image/layer space
- Add `cache-from`/`cache-to` pointing to `:cache` tag so unchanged layers
(including the heavy voice-deps layer) are pulled from registry instead of rebuilt
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
npm install -g npm@latest corrupts npm's own module tree inside Alpine,
breaking subsequent installs. Use npm ci instead (faster, deterministic).
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- Dockerfile: ARG BUILD_VERSION=dev → ENV APP_VERSION baked into image
- ci.yml: BUILD_VERSION passed as build-arg; set to git tag name on v*
tag builds, "dev" on branch builds
- routes/api.py: GET /api/version returns {"version": APP_VERSION}
- SettingsView: fetches /api/version on mount, displays in About section
under General tab
Version source of truth is the git tag (YY.MM.DD.N CalVer).
pyproject.toml / package.json versions are no longer maintained.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
- infra/Dockerfile.runner-base: new Ubuntu 24.04 image with Python 3.12
and Node 22 LTS pre-installed, tagged py3.12-node22. Eliminates the
~3-4 min deadsnakes PPA install that ran on every test job.
- infra/runner-compose.yml: update ubuntu-latest label to use
runner-base:py3.12-node22 instead of node:20-bullseye.
- .forgejo/workflows/ci.yml: remove Python 3.12 install steps (now in
base image), add actions/cache for pip keyed on pyproject.toml hash,
bump node-version 20 → 22.
- Dockerfile: bump frontend build stage node:20-alpine → node:22-alpine.
Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
Stop wiping Alembic version tracking on every restart. Now
`alembic upgrade head` runs only pending migrations, as intended.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
Rewrite migrations to raw SQL with IF NOT EXISTS/EXCEPTION guards for
full idempotency. Add notes table migration (0001), fix migration chain,
and run alembic upgrade head in Dockerfile CMD on container start.
Update summary.md with Phase 3.5 changes and Alembic instructions.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
bvandeusen
Bryan Van Deusen