fix(build): pass PyInstaller hook paths relative so .spec is portable

Absolute paths ended up in the auto-regenerated voicebox-server.spec
because build_binary.py prefixed every --runtime-hook and
--additional-hooks-dir with str(backend_dir / ...). That broke builds
on any machine whose checkout wasn't at /Users/jamie/... and anyone
invoking pyinstaller voicebox-server.spec directly.

os.chdir(backend_dir) already runs before PyInstaller (same reason
server.py works as a bare filename), so the backend_dir prefix is
unnecessary. Drop it so the generated spec references pyi_hooks/,
pyi_rth_numpy_compat.py, pyi_rth_torch_compiler_disable.py as repo-
relative paths.

Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>

.agents/skills/add-tts-engine/SKILL.md

@@ -0,0 +1,120 @@
+---
+name: add-tts-engine
+description: Use this skill to add a new TTS engine to Voicebox. It walks through dependency research, backend implementation, frontend wiring, PyInstaller bundling, and frozen-build testing. Always start with Phase 0 (dependency audit) before writing any code.
+---
+
+# Add TTS Engine
+
+## Goal
+
+Integrate a new text-to-speech engine into Voicebox end-to-end: dependency research, backend protocol implementation, frontend UI wiring, PyInstaller bundling, and frozen-build verification. The user should only need to test the final build locally.
+
+## Reference Doc
+
+The full phased guide lives at `docs/content/docs/developer/tts-engines.mdx`. **Read this file in its entirety before starting.** It contains:
+
+- Phase 0: Dependency research (mandatory before writing code)
+- Phase 1: Backend implementation (`TTSBackend` protocol)
+- Phase 2: Route and service integration (usually zero changes)
+- Phase 3: Frontend integration (5 files)
+- Phase 4: Dependencies (`requirements.txt`, justfile, CI, Docker)
+- Phase 5: PyInstaller bundling (`build_binary.py` + `server.py`)
+- Phase 6: Common upstream workarounds
+- Implementation checklist (gate between phases)
+
+## Workflow
+
+### 1. Read the guide
+
+```bash
+# Read the full TTS engines doc
+cat docs/content/docs/developer/tts-engines.mdx
+```
+
+Internalize all phases, especially Phase 0 and Phase 5. The v0.2.3 release was three patch releases because Phase 0 was skipped.
+
+### 2. Dependency research (Phase 0)
+
+Clone the model library into a temporary directory and audit it. Do NOT skip this.
+
+```bash
+mkdir /tmp/engine-research && cd /tmp/engine-research
+git clone <model-library-url>
+```
+
+Run the grep searches from Phase 0.2 in the guide against the cloned source and its transitive dependencies. Produce a written dependency audit covering:
+
+1. PyPI vs non-PyPI packages
+2. PyInstaller directives needed (`--collect-all`, `--copy-metadata`, `--hidden-import`)
+3. Runtime data files that must be bundled
+4. Native library paths that need env var overrides in frozen builds
+5. Monkey-patches needed (`torch.load`, float64, MPS, HF token)
+6. Sample rate
+7. Model download method (`from_pretrained` vs `snapshot_download` + `from_local`)
+
+Test model loading and generation on CPU in the throwaway venv before proceeding.
+
+### 3. Implement (Phases 1–4)
+
+Follow the guide's phases in order. Key files to modify:
+
+**Backend (Phase 1):**
+- Create `backend/backends/<engine>_backend.py`
+- Register in `backend/backends/__init__.py` (ModelConfig + TTS_ENGINES + factory)
+- Update regex in `backend/models.py`
+
+**Frontend (Phase 3):**
+- `app/src/lib/api/types.ts` — engine union type
+- `app/src/lib/constants/languages.ts` — ENGINE_LANGUAGES
+- `app/src/components/Generation/EngineModelSelector.tsx` — ENGINE_OPTIONS, ENGINE_DESCRIPTIONS
+- `app/src/lib/hooks/useGenerationForm.ts` — Zod schema, model-name mapping
+- `app/src/components/ServerSettings/ModelManagement.tsx` — MODEL_DESCRIPTIONS
+
+**Dependencies (Phase 4):**
+- `backend/requirements.txt`
+- `justfile` (setup-python, setup-python-release targets)
+- `.github/workflows/release.yml`
+- `Dockerfile` (if applicable)
+
+### 4. PyInstaller bundling (Phase 5)
+
+Register the engine in `backend/build_binary.py`:
+- `--hidden-import` for the backend module and model package
+- `--collect-all` for packages using `inspect.getsource`, shipping data files, or native libraries
+- `--copy-metadata` for packages using `importlib.metadata`
+
+If the engine has native data paths, add `os.environ.setdefault()` in `backend/server.py` inside the `if getattr(sys, 'frozen', False):` block.
+
+### 5. Verify in dev mode
+
+```bash
+just dev
+```
+
+Test the full chain: model download → load → generate → voice cloning.
+
+### 6. Use the checklist
+
+Walk through the Implementation Checklist at the bottom of `tts-engines.mdx`. Every item must be checked before handing the build to the user.
+
+## Key Lessons (from v0.2.3)
+
+These are the most common failure modes. Phase 0 research catches all of them:
+
+| Pattern | Symptom in Frozen Build | Fix |
+|---------|------------------------|-----|
+| `@typechecked` / `inspect.getsource()` | "could not get source code" | `--collect-all <package>` |
+| Package ships pretrained model files | `FileNotFoundError` for `.pth.tar`, `.yaml` | `--collect-all <package>` |
+| C library with hardcoded system paths | `FileNotFoundError` for `/usr/share/...` | `--collect-all` + env var in `server.py` |
+| `importlib.metadata.version()` | "No package metadata found" | `--copy-metadata <package>` |
+| `torch.load` without `map_location` | CUDA device not available on CPU build | Monkey-patch `torch.load` |
+| `torch.from_numpy` on float64 data | dtype mismatch RuntimeError | Cast to `.float()` |
+| `token=True` in HF download calls | Auth failure without stored HF token | Use `snapshot_download(token=None)` + `from_local()` |
+
+## Notes
+
+- The route and service layers have zero per-engine dispatch points. `main.py` requires zero changes.
+- The model config registry in `backends/__init__.py` handles all dispatch automatically.
+- Use `get_torch_device()` and `model_load_progress()` from `backends/base.py` — don't reimplement device detection or progress tracking.
+- Always test with a **clean HuggingFace cache** (no pre-downloaded models from dev).
+- Do NOT push or create a release. Hand the build to the user for local testing.

.agents/skills/draft-release-notes/SKILL.md

@@ -0,0 +1,94 @@
+---
+name: draft-release-notes
+description: Use this skill to draft or update the [Unreleased] section of CHANGELOG.md from the actual changes since the last tag. Run this at any point during development to keep a working copy of the release narrative. Does NOT bump versions or create tags.
+---
+
+# Draft Release Notes
+
+## Goal
+
+Update the `[Unreleased]` section at the top of `CHANGELOG.md` with a narrative release story based on the real changes since the last tag. This is a **non-destructive working copy** — run it as many times as you want during development.
+
+## Workflow
+
+1. **Identify the last release tag and gather changes.**
+
+   ```bash
+   LAST_TAG=$(git tag --list "v*" --sort=-v:refname | head -n 1)
+   echo "Last tag: $LAST_TAG"
+   ```
+
+   Then collect raw material from three sources:
+
+   a. **Commit log since last tag:**
+   ```bash
+   git log --oneline "$LAST_TAG"..HEAD
+   ```
+
+   b. **GitHub-generated release notes preview** (PR titles, new contributors):
+   ```bash
+   gh api repos/:owner/:repo/releases/generate-notes \
+     -f tag_name="vNEXT" \
+     -f target_commitish="$(git rev-parse HEAD)" \
+     -f previous_tag_name="$LAST_TAG" \
+     --jq '.body'
+   ```
+
+   c. **Diff stat for theme analysis:**
+   ```bash
+   git diff --stat "$LAST_TAG"..HEAD
+   ```
+
+2. **Draft the release narrative.**
+
+   Write markdown for the `[Unreleased]` section following the format below. Do not include the `## [Unreleased]` heading itself — just the body content.
+
+3. **Update CHANGELOG.md.**
+
+   Replace everything between `## [Unreleased]` and the next `## [` heading with the new draft. Preserve the HTML comment header and all existing release sections below.
+
+   The `[Unreleased]` section must always exist and always be the first section after the header comments.
+
+4. **Do NOT commit, tag, or bump versions.** Just leave the file modified in the working tree.
+
+## Release Story Format
+
+Structure the `[Unreleased]` section like this:
+
+```markdown
+## [Unreleased]
+
+<One strong opening paragraph: what this release is about and why it matters.
+Tie it to concrete shipped changes. No vague hype.>
+
+<One paragraph on major technical shifts, if applicable.>
+
+### <Feature/Theme Group>
+- Bullet points with specifics
+- Reference PRs where available: ([#123](https://github.com/jamiepine/voicebox/pull/123))
+
+### <Another Group>
+- ...
+
+### Bug Fixes
+- ...
+```
+
+### Style Guidelines
+
+- **Factual and specific.** Every claim should trace to a real commit or PR.
+- **Narrative over list.** Lead with paragraphs that tell the story, then support with bullets.
+- **Group by theme, not by commit.** Cluster related changes under descriptive headings.
+- **Reference PRs** where they exist, but don't fabricate them.
+- **Skip trivial chores** (typo fixes, CI tweaks) unless they're the bulk of the release.
+- **Match the voice of existing releases** — look at the v0.2.1 and v0.2.3 entries in CHANGELOG.md for tone reference.
+
+## When There Are No Changes
+
+If `git log "$LAST_TAG"..HEAD` is empty, leave the `[Unreleased]` section empty (just the heading) and tell the user there's nothing to draft.
+
+## Notes
+
+- This skill only touches the `[Unreleased]` section. It never modifies stamped release sections.
+- The agent can be asked to run this skill at any point — mid-feature, before a PR, or right before cutting a release.
+- The `release-bump` skill depends on this draft being up to date before it finalizes.

.agents/skills/release-bump/SKILL.md

@@ -0,0 +1,124 @@
+---
+name: release-bump
+description: Use this skill to finalize a release. It stamps the [Unreleased] changelog section with a version and date, runs bumpversion to update all version files, and creates the release commit and tag. Only run this when you're ready to ship.
+---
+
+# Release Bump
+
+## Goal
+
+Finalize the changelog draft, bump the version across all tracked files, and create a tagged release commit. After this skill runs, the repo has a clean release commit and tag ready to push.
+
+## Prerequisites
+
+- `gh` CLI installed and authenticated (`gh auth status`).
+- `bumpversion` installed (`pip install bumpversion` or available in the project venv).
+- The `[Unreleased]` section of `CHANGELOG.md` should already contain the release narrative. If it's empty or stale, run the `draft-release-notes` skill first.
+
+## Workflow
+
+1. **Verify the working tree is clean** (except `CHANGELOG.md` which may have the draft).
+
+   ```bash
+   git status --porcelain
+   ```
+
+   Only `CHANGELOG.md` (and optionally `.agents/` files) should be modified. If there are other uncommitted changes, stop and ask the user to commit or stash them first.
+
+2. **Determine the bump level.**
+
+   Ask the user if not specified: `patch`, `minor`, or `major`. Check the current version:
+
+   ```bash
+   grep '^current_version' .bumpversion.cfg
+   ```
+
+3. **Stamp the changelog.**
+
+   Read the current `[Unreleased]` content from `CHANGELOG.md`. Compute the new version (based on bump level and current version). Then:
+
+   a. Replace the `## [Unreleased]` section body with an empty placeholder.
+   b. Insert a new stamped section immediately after `## [Unreleased]`:
+
+   ```markdown
+   ## [Unreleased]
+
+   ## [X.Y.Z] - YYYY-MM-DD
+
+   <the content that was in [Unreleased]>
+   ```
+
+   c. Update the reference links at the bottom of the file:
+   - Change the `[Unreleased]` link to compare against the new tag
+   - Add a new link for the new version
+
+   ```markdown
+   [Unreleased]: https://github.com/jamiepine/voicebox/compare/vX.Y.Z...HEAD
+   [X.Y.Z]: https://github.com/jamiepine/voicebox/compare/vPREVIOUS...vX.Y.Z
+   ```
+
+4. **Stage the changelog.**
+
+   ```bash
+   git add CHANGELOG.md
+   ```
+
+5. **Run bumpversion.**
+
+   ```bash
+   bumpversion --allow-dirty <patch|minor|major>
+   ```
+
+   The `--allow-dirty` flag is needed because `CHANGELOG.md` is already staged. bumpversion will:
+   - Update version strings in all tracked files (see `.bumpversion.cfg`)
+   - Create a commit with message `Bump version: X.Y.Z -> A.B.C`
+   - Create a tag `vA.B.C`
+
+   The staged `CHANGELOG.md` will be included in this commit automatically.
+
+6. **Verify results.**
+
+   ```bash
+   git show --name-only --stat HEAD
+   git tag --list "v*" --sort=-v:refname | head -n 5
+   ```
+
+   Confirm the commit contains:
+   - `CHANGELOG.md`
+   - `.bumpversion.cfg`
+   - `tauri/src-tauri/tauri.conf.json`
+   - `tauri/src-tauri/Cargo.toml`
+   - `package.json`
+   - `app/package.json`
+   - `tauri/package.json`
+   - `landing/package.json`
+   - `web/package.json`
+   - `backend/__init__.py`
+
+   Confirm the new tag exists.
+
+7. **Do NOT push** unless the user explicitly asks. Report the tag name and suggest:
+
+   ```
+   Ready to push. When you're ready:
+     git push origin main --follow-tags
+   ```
+
+## Version Calculation Reference
+
+Given current version `X.Y.Z`:
+- `patch` -> `X.Y.(Z+1)`
+- `minor` -> `X.(Y+1).0`
+- `major` -> `(X+1).0.0`
+
+## Error Recovery
+
+- If bumpversion fails, the tag won't exist. Fix the issue and re-run — bumpversion is idempotent as long as the tag doesn't already exist.
+- If you need to undo a release commit (before pushing): `git tag -d vX.Y.Z && git reset --soft HEAD~1`
+- Never amend a release commit that has been pushed.
+
+## Notes
+
+- When the tag is pushed, the release CI (`.github/workflows/release.yml`) automatically extracts the matching version section from `CHANGELOG.md` and uses it as the GitHub Release body. No manual copy-paste needed.
+- The release commit message is controlled by `.bumpversion.cfg` (`Bump version: X.Y.Z -> A.B.C`). Do not override it.
+- If you need to manually update the GitHub Release body after the fact: `gh release edit vX.Y.Z --notes-file <(sed -n '/## \[X.Y.Z\]/,/## \[/p' CHANGELOG.md | head -n -1)`

.agents/skills/triage-prs/SKILL.md

@@ -0,0 +1,299 @@
+---
+name: triage-prs
+description: Use this skill to triage the open PR queue before a release. Classifies every open PR into must-merge, candidate, superseded, or deferred; writes a working triage doc; and runs the merge loop end-to-end. Designed for the pre-release "PR speedrun" pass where a solo maintainer wants to clear the inbound backlog in a single session.
+---
+
+# Triage PRs
+
+## Goal
+
+Turn a backlog of open PRs into a shipped set of merges in a single focused session. Produce a tracked, resumable plan (`<VERSION>_PR_TRIAGE.md`), then work it — rebasing where needed, merging in isolation-safe batches, applying post-merge follow-ups, and closing superseded or partially-applicable PRs with credit to their authors.
+
+This skill pairs with `draft-release-notes` and `release-bump`: triage first, then draft notes against the new main, then cut the release.
+
+## When to use
+
+- Before a minor or major release when 10+ open PRs have accumulated
+- When you want to unblock merging without losing the narrative of what's landing
+- When you know you can't personally review every PR deeply, but need to land the critical subset fast
+
+## Prerequisites
+
+- `gh` CLI authenticated against the repo
+- A dedicated worktree for PR review (avoid contaminating `main` with checkouts of contributor branches)
+- Clarity on the target version — the triage doc is named after it (e.g. `0.4.0_PR_TRIAGE.md`)
+
+## Workflow
+
+### 1. Set up an isolated PR-review worktree
+
+```bash
+git worktree list  # check for stale ones first
+git worktree prune
+git worktree add ../voicebox-pr-review -b pr-review-<VERSION> main
+```
+
+Keep the main worktree for release-prep work (changelog drafts, direct-to-main follow-ups). Keep the review worktree for `gh pr checkout` — each checkout moves HEAD to a contributor branch, which you don't want to do in the main worktree.
+
+### 2. Gather metadata for every open PR
+
+```bash
+gh pr list --state open --limit 50 --json \
+  number,title,author,isDraft,mergeable,mergeStateStatus,files,additions,deletions,reviewDecision,statusCheckRollup,maintainerCanModify \
+  --jq '.[] | {num: .number, title, author: .author.login, mergeable, state: .mergeStateStatus, canModify: .maintainerCanModify, changes: "+\(.additions)/-\(.deletions)", files: [.files[].path]}'
+```
+
+You want, for each PR:
+- Size (`+additions/-deletions`)
+- Mergeable state (`CLEAN`, `UNSTABLE`, `DIRTY` = conflicts, `UNKNOWN` = GitHub still computing)
+- Whether maintainer edits are allowed on the branch (needed later if you rebase for the author)
+- File paths touched (helps spot overlaps between PRs)
+
+`UNKNOWN` is common right after a push to main — just try the merge and see.
+
+### 3. Classify into tiers
+
+Sort each PR into exactly one bucket:
+
+**Tier 1 — Merge:** small, mergeable, fixes a real bug, clean CI, low review cost. One-liners, dependency relaxations, targeted safety hardening. These are the easy wins.
+
+**Tier 2 — Candidate, review:** medium size (50-200 lines), touches more surface area, looks sound but needs a closer read. New user-facing features that fit the product direction.
+
+**Supersede:** the fix or feature is already covered by something merged. Close with a comment pointing to the superseding PR. Check carefully — "similar title" isn't proof; compare the actual diffs.
+
+**Defer to next release:** big features, dirty conflicts, draft PRs, anything touching the release pipeline in ways that would introduce risk. Don't merge these in a speedrun — they need dedicated focus.
+
+### 4. Write the triage doc
+
+Create `<VERSION>_PR_TRIAGE.md` in the PR-review worktree root. Structure:
+
+```markdown
+# <Repo> <VERSION> — PR Triage
+
+Working doc for tracking which open PRs land in <VERSION>. Delete after release cut.
+
+Last updated: <DATE>
+
+## Progress
+
+**Tier 1: 0 / N merged**
+**Tier 2: 0 / M handled**
+**Supersede triage: pending**
+
+---
+
+## Merge for <VERSION> — critical bug fixes
+
+| PR | Status | Size | What it fixes | Why must-have |
+|---|---|---|---|---|
+| [#123](url) | [ ] | +5/-0 | ... | ... |
+
+## Strong candidate — needs a quick review
+
+| PR | Status | Size | Summary |
+|---|---|---|---|
+
+## Close as superseded
+
+| PR | Status | Reason |
+|---|---|---|
+
+## Defer to <NEXT_VERSION>
+
+- [#xxx](url) ... — reason
+
+---
+
+## Order of attack
+
+1. Close superseded PRs (one-liner comments)
+2. Merge tier-1 in dependency-free batches — check file paths don't overlap
+3. Review tier-2 individually
+4. Rerun `draft-release-notes` to pick up everything
+5. Run `release-bump`
+```
+
+The **Progress** header is the most important part — it's your scoreboard and lets you resume cleanly if the session gets interrupted.
+
+### 5. Work the loop — per PR
+
+For each PR in the tier-1 / tier-2 list:
+
+**a. Checkout in the review worktree:**
+```bash
+cd ../voicebox-pr-review
+git checkout pr-review-<VERSION>  # reset to neutral base
+gh pr checkout <N>
+```
+
+**b. Read the *actual* commit, not `main..HEAD`:**
+
+```bash
+git show HEAD                    # the PR's actual changes
+git show --stat HEAD             # files touched + line counts
+```
+
+**Do NOT review via `git diff main..HEAD`** if the PR branch is older than main. That diff includes *every commit that landed on main after the PR was forked* as `-` (deletion) lines. A 3-line PR can look like a 700-line revert. This is the single easiest way to misjudge a PR.
+
+**c. Evaluate concerns:** correctness, scope, interaction with already-merged work, version compatibility (e.g. can't use an API that requires a dependency version we don't yet pin).
+
+**d. Rebase if the branch is behind main:**
+```bash
+git fetch origin main
+git rebase origin/main
+```
+
+This is **essential** before squash-merging. GitHub's squash computes `diff(PR-head, merge-base)` — on a stale branch, that diff includes reverting every in-between commit. Rebasing moves the merge-base forward so the squash is clean.
+
+**e. If maintainer edits are allowed, push the rebase back to the contributor's fork:**
+```bash
+git remote add <author> https://github.com/<author>/<repo>.git
+git fetch <author> <branch>              # get their ref first
+git push <author> HEAD:<branch> --force-with-lease
+```
+
+This keeps GitHub's PR UI in sync with the rebased state and makes the merge clean from the GitHub side.
+
+**f. Merge:**
+```bash
+gh pr merge <N> --squash
+```
+
+**g. Update the triage doc** — flip the checkbox to `✅ merged <sha>` (use the short SHA from `gh pr view <N> --json mergeCommit --jq '.mergeCommit.oid[0:7]'`). Update the Progress header.
+
+### 6. Batch tiny fixes
+
+PRs with ≤5 line changes, clean CI, non-overlapping file paths, and obviously-correct intent (e.g. one-line dependency relax, env var add, import path fix) can be merged in a single loop without the review-per-PR ceremony:
+
+```bash
+for pr in 425 384 416 429; do
+  echo "=== Merging PR $pr ==="
+  gh pr merge $pr --squash
+done
+```
+
+Verify afterward that each landed cleanly:
+```bash
+for pr in 425 384 416 429; do
+  gh pr view $pr --json state,mergeCommit --jq "{pr: $pr, state, sha: .mergeCommit.oid[0:7]}"
+done
+```
+
+### 7. Post-merge follow-ups
+
+Sometimes a PR is worth merging despite a known minor issue (e.g. incomplete dtype map, stale sentinel cleanup). Don't block the merge; apply the follow-up as a normal branch + PR right after:
+
+```bash
+cd <main-worktree>
+git pull --ff-only origin main
+git checkout -b fix/<short-name>
+# edit...
+git commit -m "fix(<area>): <one-liner>"
+git push -u origin fix/<short-name>
+gh pr create --title "..." --body "Follow-up to #<N>. ..."
+```
+
+Record both SHAs in the triage doc (`✅ merged <pr-sha> + follow-up <pr>`).
+
+**Direct-to-main exception:** only under an explicit, scoped policy (e.g. "release speedrun"). Don't default to it.
+
+### 8. Supersede: close with a credit-pointing comment
+
+```bash
+gh pr close <N> --comment "Closing — superseded by merged #<M> which landed <brief description>. Thanks!"
+```
+
+Check the diffs first — "similar title" is not enough. If the PR is *partially* superseded (the diagnosis is right but only half the changes are still needed), do a partial-apply instead.
+
+### 9. Partial-apply pattern
+
+When a PR has both valuable and questionable changes bundled:
+
+```bash
+cd <main-worktree>
+git pull --ff-only origin main
+
+# Cherry-pick specific files from the PR branch
+git checkout <pr-commit-sha> -- <file1> <file2>
+
+# Review the staged changes, adjust as needed
+git diff --cached
+
+# Apply any surgical edits to files you don't want to bulk-replace
+# (e.g. the PR's file predates a recent main commit you need to preserve)
+
+# Commit with a trailer crediting the original author
+git commit -m "$(cat <<'EOF'
+<subject>
+
+<body explaining what was kept vs dropped>
+
+Co-Authored-By: <author> <[email protected]>
+EOF
+)"
+git push ...  # branch + PR, unless under the direct-to-main exception
+```
+
+Then close the PR with a comment explaining what was applied and what was dropped, referencing the commit SHA.
+
+### 10. Keep the doc current
+
+Every merge, every close, every follow-up → update `<VERSION>_PR_TRIAGE.md`. The doc is your session log. If you're interrupted and resume tomorrow, the doc is the only source of truth for "where am I."
+
+### 11. When triage is done
+
+- Every PR in the doc has a terminal status (✅ merged / ✅ closed / deferred)
+- Progress header shows N/N for each tier
+- Next skill to run is `draft-release-notes` (to regenerate `[Unreleased]` against the new main), then `release-bump`
+
+You can delete the triage doc after the release ships, or keep it in version history as a record.
+
+## Gotchas
+
+- **`main..HEAD` on a stale branch lies.** It shows everything main gained since the branch split as deletions. Always review via `git show HEAD` for the PR's actual commit.
+- **Squash-merging an unrebased branch reverts in-between work.** The squash computes `diff(PR-head, merge-base)`. Rebase moves the merge-base forward.
+- **`mergeable=UNKNOWN`** is transient — GitHub is recomputing after a push. Just try the merge.
+- **Route ordering matters (FastAPI and similar):** `DELETE /history/failed` must be registered *before* `DELETE /history/{id}`, or the parameterized path will consume `"failed"` as an ID.
+- **Apple's `-weak_framework` overrides `-framework`** for the same framework, regardless of order — use it via `cargo:rustc-link-arg=-Wl,-weak_framework,Name` when a dependency hard-links something optional.
+- **Dependency version floors constrain what you can apply.** Before accepting a kwarg rename like `torch_dtype=` → `dtype=`, check the min-version pin supports it. Sometimes the right move is to cherry-pick half the PR.
+- **`cpal::Stream` and similar `!Send` audio types** can't cross `await` points or `spawn_blocking`. Sometimes a "not-ideal but correct" sync wait is the best available fix; flag but don't block.
+- **PyTorch nightly builds are not shippable for releases** — non-deterministic, can regress between runs. If a PR suggests switching to nightly to fix a GPU issue, prefer `TORCH_CUDA_ARCH_LIST=...+PTX` or wait for stable support instead.
+
+## Canonical commands reference
+
+```bash
+# Bulk PR metadata
+gh pr list --state open --limit 50 --json number,title,author,mergeable,mergeStateStatus,additions,deletions,maintainerCanModify,files
+
+# Detailed single-PR view
+gh pr view <N> --json body,author,headRefName,baseRefName,mergeable,maintainerCanModify,files,statusCheckRollup
+
+# The actual commit, not the branch-vs-main diff
+git show HEAD
+git show --stat HEAD
+gh pr diff <N>
+
+# Rebase contributor branch onto current main
+git fetch origin main && git rebase origin/main
+
+# Push rebase back to contributor fork (maintainerCanModify=true required)
+git remote add <author> https://github.com/<author>/<repo>.git
+git fetch <author> <branch>
+git push <author> HEAD:<branch> --force-with-lease
+
+# Merge
+gh pr merge <N> --squash
+
+# Confirm merge SHA for triage doc
+gh pr view <N> --json state,mergeCommit --jq '{state, sha: .mergeCommit.oid[0:7]}'
+
+# Close superseded
+gh pr close <N> --comment "Closing — superseded by merged #<M>. Thanks!"
+```
+
+## Notes
+
+- **Never review a stale branch via `main..HEAD`.** This is the single most important line in this skill.
+- **The triage doc is the session state.** Lose the doc, lose the session. Update it after every action.
+- **Credit contributors even on partial-applies.** Use `Co-Authored-By:` trailers and close comments that link to the applied commit.
+- **Don't let perfect be the enemy of shipped.** A fix that goes from "broken" to "works with a minor known issue" is a strict improvement. Flag the issue, file a follow-up, merge the fix.

.bumpversion.cfg

@@ -1,5 +1,5 @@
 [bumpversion]
-current_version = 0.2.3
+current_version = 0.4.0
 commit = True
 tag = True
 tag_name = v{new_version}

.dockerignore

@@ -38,7 +38,6 @@ biome.json
 .bumpversion.cfg
 .npmrc
 Makefile
-CHANGELOG.md
 CONTRIBUTING.md
 SECURITY.md
 LICENSE

.github/workflows/release.yml

@@ -62,6 +62,7 @@ jobs:
           pip install pyinstaller
           pip install -r backend/requirements.txt
           pip install --no-deps chatterbox-tts
+          pip install --no-deps hume-tada
 
       - name: Install MLX dependencies (Apple Silicon only)
         if: matrix.backend == 'mlx'
@@ -123,6 +124,29 @@ jobs:
           p12-file-base64: ${{ secrets.APPLE_CERTIFICATE }}
           p12-password: ${{ secrets.APPLE_CERTIFICATE_PASSWORD }}
 
+      - name: Extract release notes from CHANGELOG.md
+        id: changelog
+        shell: bash
+        run: |
+          # Get the version from the tag (strip leading 'v')
+          VERSION="${GITHUB_REF_NAME#v}"
+
+          # Extract the section for this version from CHANGELOG.md
+          # Matches from "## [X.Y.Z]" until the next "## [" heading
+          NOTES=$(sed -n "/^## \[${VERSION}\]/,/^## \[/{/^## \[${VERSION}\]/d;/^## \[/d;p;}" CHANGELOG.md)
+
+          # Fall back to a placeholder if the version isn't in the changelog
+          if [ -z "$(echo "$NOTES" | tr -d '[:space:]')" ]; then
+            NOTES="See the assets below to download and install this version."
+          fi
+
+          # Use multiline output syntax
+          {
+            echo "notes<<CHANGELOG_EOF"
+            echo "$NOTES"
+            echo "CHANGELOG_EOF"
+          } >> "$GITHUB_OUTPUT"
+
       - uses: tauri-apps/[email protected]
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
@@ -139,17 +163,7 @@ jobs:
           projectPath: tauri
           tagName: v__VERSION__
           releaseName: "voicebox v__VERSION__"
-          releaseBody: |
-            ## What's Changed
-            See the assets below to download and install this version.
-
-            ### Installation
-            - **macOS (Apple Silicon)**: Download the `aarch64.dmg` file - uses MLX for fast native inference
-            - **macOS (Intel)**: Download the `x64.dmg` file - uses PyTorch
-            - **Windows**: Download the `.msi` installer
-            - **Linux**: Compile from source (see README)
-
-            The app includes automatic updates - future updates will be installed automatically.
+          releaseBody: ${{ steps.changelog.outputs.notes }}
           releaseDraft: true
           prerelease: false
           args: ${{ matrix.args }}
@@ -175,43 +189,54 @@ jobs:
           pip install pyinstaller
           pip install -r backend/requirements.txt
           pip install --no-deps chatterbox-tts
+          pip install --no-deps hume-tada
 
-      - name: Install PyTorch with CUDA 12.1
+      - name: Install PyTorch with CUDA 12.8
         run: |
-          pip install torch --index-url https://download.pytorch.org/whl/cu121 --force-reinstall --no-deps
-          pip install torchaudio --index-url https://download.pytorch.org/whl/cu121
+          pip install torch --index-url https://download.pytorch.org/whl/cu128 --force-reinstall --no-deps
+          pip install torchaudio --index-url https://download.pytorch.org/whl/cu128 --force-reinstall --no-deps
 
       - name: Verify CUDA support in torch
         run: |
           python -c "import torch; print(f'CUDA available in build: {torch.cuda.is_available()}'); print(f'CUDA version: {torch.version.cuda}')"
 
-      - name: Build CUDA server binary
+      - name: Build CUDA server binary (onedir)
         shell: bash
         working-directory: backend
+        env:
+          # Include Blackwell (sm_120) via PTX forward compatibility.
+          # Pre-built PyTorch cu128 wheels ship native kernels for sm_80/86/89/90
+          # but not sm_120. Setting this env var causes torch.utils.cpp_extension
+          # (and any JIT-compiled kernels) to target Blackwell GPUs as well.
+          TORCH_CUDA_ARCH_LIST: "8.0;8.6;8.9;9.0;12.0+PTX"
         run: python build_binary.py --cuda
 
-      - name: Split binary for GitHub Releases
+      - name: Package into server core + CUDA libs archives
         shell: bash
         run: |
-          python scripts/split_binary.py \
-            backend/dist/voicebox-server-cuda.exe \
-            --output release-assets/
+          python scripts/package_cuda.py \
+            backend/dist/voicebox-server-cuda/ \
+            --output release-assets/ \
+            --cuda-libs-version cu128-v1 \
+            --torch-compat ">=2.7.0,<2.11.0"
 
-      - name: Upload split parts to GitHub Release
+      - name: Upload archives to GitHub Release
         if: startsWith(github.ref, 'refs/tags/')
-        uses: softprops/action-gh-release@v1
+        uses: softprops/action-gh-release@v2
         with:
           files: |
-            release-assets/voicebox-server-cuda.part*.exe
-            release-assets/voicebox-server-cuda.sha256
-            release-assets/voicebox-server-cuda.manifest
+            release-assets/voicebox-server-cuda.tar.gz
+            release-assets/voicebox-server-cuda.tar.gz.sha256
+            release-assets/cuda-libs-cu128-v1.tar.gz
+            release-assets/cuda-libs-cu128-v1.tar.gz.sha256
+            release-assets/cuda-libs.json
           draft: true
         env:
           GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
 
-      - name: Upload binary as workflow artifact
+      - name: Upload onedir as workflow artifact
         uses: actions/upload-artifact@v4
         with:
           name: voicebox-server-cuda-windows
-          path: backend/dist/voicebox-server-cuda.exe
+          path: backend/dist/voicebox-server-cuda/
           retention-days: 7

.gitignore

@@ -50,6 +50,14 @@ logs/
 app/openapi.json
 tauri/src-tauri/binaries/*
 tauri/src-tauri/gen/Assets.car
+tauri/src-tauri/gen/voicebox.icns
+tauri/src-tauri/gen/partial.plist
+
+# PyInstaller
+*.spec
+
+# Windows artifacts
+nul
 
 # Temporary
 tmp/

CHANGELOG.md

@@ -1,96 +1,577 @@
+<!-- This file is compiled automatically during the release workflow. -->
+<!-- Do not edit manually — your changes will be overwritten. -->
+<!-- To update the draft: ask the agent to use the draft-release-notes skill. -->
+<!-- To finalize a release: ask the agent to use the release-bump skill. -->
+
 # Changelog
 
-All notable changes to Voicebox will be documented in this file.
-
-The format is based on [Keep a Changelog](https://keepachangelog.com/en/1.0.0/),
-and this project adheres to [Semantic Versioning](https://semver.org/spec/v2.0.0.html).
-
 ## [Unreleased]
 
-### Fixed
-- **Profile Name Validation** - Added proper validation to prevent duplicate profile names ([#134](https://github.com/jamiepine/voicebox/issues/134))
-  - Users now receive clear error messages when attempting to create or update profiles with duplicate names
-  - Improved error handling in create and update profile API endpoints
-  - Added comprehensive test suite for duplicate name validation
+## [0.4.0] - 2026-04-16
 
-## [0.1.0] - 2026-01-25
+The biggest Voicebox release yet. Three new TTS engines bring the lineup to **seven** — HumeAI TADA, Kokoro 82M, and Qwen CustomVoice join Qwen3-TTS, LuxTTS, Chatterbox Multilingual, and Chatterbox Turbo. GPU support broadens to Intel Arc (XPU) and NVIDIA Blackwell (RTX 50-series), with runtime diagnostics that warn when your PyTorch build doesn't match your GPU. The CUDA backend is now split into independently versioned server and library archives, so upgrading no longer redownloads 4 GB of PyTorch/CUDA DLLs.
 
-### Added
+This release also marks a big community moment: **13 new contributors** shipped fixes and features in 0.4.0. Thirty-plus bug fixes target the most-reported issues in the tracker — numpy 2.x TTS crashes, Windows background-server reliability, macOS 11 launch failures, audio playback silence, Stories clip-splitting races, history status staleness, and more.
 
-#### Core Features
-- **Voice Cloning** - Clone voices from audio samples using Qwen3-TTS (1.7B and 0.6B models)
-- **Voice Profile Management** - Create, edit, and organize voice profiles with multiple samples
-- **Speech Generation** - Generate high-quality speech from text using cloned voices
-- **Generation History** - Track all generations with search and filtering capabilities
-- **Audio Transcription** - Automatic transcription powered by Whisper
-- **In-App Recording** - Record audio samples directly in the app with waveform visualization
+### New TTS Engines
 
-#### Desktop App
-- **Tauri Desktop App** - Native desktop application for macOS, Windows, and Linux
-- **Local Server Mode** - Embedded Python server runs automatically
-- **Remote Server Mode** - Connect to a remote Voicebox server on your network
-- **Auto-Updates** - Automatic update notifications and installation
+#### HumeAI TADA — Expressive English & Multilingual ([#296](https://github.com/jamiepine/voicebox/pull/296))
+- Added `tada-1b` (English) and `tada-3b-ml` (multilingual) backends
+- Replaced `descript-audio-codec` with a lightweight DAC shim to cut dependencies
+- Switched audio decoding to `soundfile` to sidestep `torchcodec` bundling issues
+- Redirected gated Llama tokenizer lookups to an ungated mirror so model loading works out of the box
+- Fixed tokenizer patch that was corrupting `AutoTokenizer` for other engines
+- Fixed TorchScript error in frozen builds
 
-#### API
-- **REST API** - Full REST API for voice synthesis and profile management
-- **OpenAPI Documentation** - Interactive API docs at `/docs` endpoint
-- **Type-Safe Client** - Auto-generated TypeScript client from OpenAPI schema
+#### Kokoro 82M — Fast Lightweight TTS ([#325](https://github.com/jamiepine/voicebox/pull/325))
+- Added Kokoro 82M engine with a new voice profile type system that distinguishes preset voices from cloned profiles
+- Profile grid now handles engine compatibility directly — removed redundant dropdown filtering
+- Tightened Kokoro profile handling so preset voices can't be edited like cloned profiles
 
-#### Technical
-- **Voice Prompt Caching** - Fast regeneration with cached voice prompts
-- **Multi-Sample Support** - Combine multiple audio samples for better voice quality
-- **GPU/CPU/MPS Support** - Automatic device detection and optimization
-- **Model Management** - Lazy loading and VRAM management
-- **SQLite Database** - Local data persistence
+#### Qwen CustomVoice ([#328](https://github.com/jamiepine/voicebox/pull/328))
+- Added `qwen-custom-voice` preset engine backed by Qwen3-TTS
+- Enforced preset/profile engine compatibility across the generation flow
+- Floating generator now shows all engines instead of silently filtering
 
-### Technical Details
+### Voice Profile UX
 
-- Built with Tauri v2 (Rust + React)
-- FastAPI backend with async Python
-- TypeScript frontend with React Query and Zustand
-- Qwen3-TTS for voice cloning
-- Whisper for transcription
+Until 0.4, every engine in Voicebox was a cloning model, so every voice profile was usable with every engine and the profile grid just showed them all. Introducing Kokoro and Qwen CustomVoice — which work from preset voices rather than cloned samples — broke that assumption for the first time. An early cut on `main` filtered the grid by the selected engine, which left users running pre-release builds thinking their cloned voices had vanished whenever they switched to a preset-only engine.
+
+This release ships the resolution before it ever reaches a tagged version:
+
+- **Grey-out instead of filter** — all profiles are always visible; unsupported ones render dimmed with a compatibility hint at the bottom of the grid
+- **Auto-switch on selection** — clicking a greyed-out profile selects it AND switches the engine to a compatible one, instead of silently doing nothing
+- **Instruct toggle restored for Qwen CustomVoice** — the floating generate box now reveals a delivery-instructions input (tone, emotion, pace) when CustomVoice is selected. Hidden across the board while the new multi-engine lineup was stabilizing because most engines don't honor the kwarg; now conditionally exposed only for the one engine that was actually trained for instruction-based style control
+- Supported profiles sort first; the grid scrolls the selected profile into view after engine/sort changes
+- Fixed engine desync on tab navigation — the form now initializes its engine from the store
+- Fixed the disabled-and-selected card click edge case by bouncing selection to re-trigger the auto-switch
+- Cleaned up scroll effect timers (requestAnimationFrame + setTimeout) to prevent stale DOM writes on unmount or rapid selection changes
+
+### GPU & Platform
+
+#### Intel Arc (XPU) Support ([#320](https://github.com/jamiepine/voicebox/pull/320))
+- First-class Intel Arc support across all PyTorch-based backends
+- Device-aware seeding, XPU detection in the GPU status panel, and setup flow detection
+- Reports correct device name and VRAM in settings
+
+#### Blackwell / RTX 50-series Support ([#316](https://github.com/jamiepine/voicebox/pull/316), [#401](https://github.com/jamiepine/voicebox/pull/401))
+- Upgraded the CUDA backend from cu126 → cu128 for RTX 50-series support
+- Added `sm_120+PTX` to the CUDA build via `TORCH_CUDA_ARCH_LIST` for forward-compatibility with Blackwell architectures (closes 5 open reports: #386, #395, #396, #399, #400)
+- GPU settings UI fixes around install/uninstall state
+
+#### GPU Compatibility Diagnostics ([#367](https://github.com/jamiepine/voicebox/pull/367), adapted)
+- New `check_cuda_compatibility()` compares the current device's compute capability against the bundled PyTorch's architecture list
+- Health endpoint exposes a `gpu_compatibility_warning` field so the UI can surface mismatches
+- Startup logs a `WARN` when the installed PyTorch build doesn't support the detected GPU
+- GPU status label shows `[UNSUPPORTED - see logs]` — no more silent "no kernel image" failures
+
+#### Split CUDA Backend ([#298](https://github.com/jamiepine/voicebox/pull/298))
+- CUDA backend now ships as two independently versioned archives: a small server binary and a large libs archive (the ~4 GB of PyTorch/CUDA DLLs)
+- Upgrading Voicebox no longer redownloads the libs archive when only the server binary changed
+- Added `asyncio.Lock` around `download_cuda_binary()` so auto-update and manual download can't race on the same temp file ([#428](https://github.com/jamiepine/voicebox/pull/428))
+- Updated `package_cuda.py` for PyInstaller 6.18 onedir layout
+- Temp archives are always cleaned up on failure, even when the install aborts mid-extract
+
+### Bug Fixes
+
+#### Critical: TTS Generation
+- **numpy 2.x `torch.from_numpy` crash** ([#361](https://github.com/jamiepine/voicebox/pull/361)) — torch compiled against numpy 1.x ABI fails silently when paired with numpy 2.x, causing `RuntimeError: Numpy is not available` / `Unable to create tensor` on every TTS request in bundled macOS Intel / Rosetta builds. Pinned `numpy<2.0` in requirements and added a PyInstaller runtime hook with a `ctypes.memmove` fallback as belt-and-suspenders. Hardened afterward to raise on unknown dtypes instead of silently reinterpreting bytes as float32.
+
+#### Platform Reliability
+- **Windows background server** ([#402](https://github.com/jamiepine/voicebox/pull/402)) — "keep server running after close" now actually keeps the server running. The HTTP `/watchdog/disable` request could lose the race against process exit on Windows; added a `.keep-running` sentinel file as a synchronous fallback, with stale-sentinel cleanup on startup to avoid orphan server processes
+- **macOS 11 launch crash** ([#424](https://github.com/jamiepine/voicebox/pull/424)) — weak-linked ScreenCaptureKit so the app can launch on macOS < 12.3 instead of crashing at dyld resolution. Gated system audio capture behind a real `sw_vers` version check so unsupported systems cleanly advertise "not available" rather than crashing at runtime
+- **macOS Intel (x86_64) setup** ([#416](https://github.com/jamiepine/voicebox/pull/416)) — relaxed `torch>=2.7.0` → `torch>=2.2.0`. PyTorch dropped pre-built x86_64 wheels after 2.2.2, so Intel Mac devs could no longer `pip install`. Now resolves to the latest compatible torch per platform
+- **Offline model loading** ([#318](https://github.com/jamiepine/voicebox/pull/318)) — Qwen TTS and Whisper force offline mode when loading cached models, so startup works without network access
+- **GUI startup with external server** ([#319](https://github.com/jamiepine/voicebox/pull/319)) — fixed GUI launch when pointed at a remote/external server, and added data refresh on server switch; hardened health validation and error handling
+- **Qwen3-TTS cache split on Windows** (adapted from [#218](https://github.com/jamiepine/voicebox/pull/218)) — route `Qwen3TTSModel.from_pretrained` through `hf_constants.HF_HUB_CACHE` so the speech tokenizer and `preprocessor_config.json` resolve from a single cache root
+- **Qwen3-TTS bundling** ([#305](https://github.com/jamiepine/voicebox/pull/305)) — bundle `qwen_tts` source files in the PyInstaller build to fix `inspect.getsource` errors in frozen builds
+- **Backend import paths** ([#345](https://github.com/jamiepine/voicebox/pull/345)) — moved lazy imports to top-level with absolute paths to resolve the "Failed to Save" preset error caused by `ModuleNotFoundError` in production builds
+- **Effects service import** ([#384](https://github.com/jamiepine/voicebox/pull/384)) — fixed `ModuleNotFoundError` on preset create/update by switching to relative imports (#349)
+
+#### Audio & Playback
+- **cpal stream silent playback** ([#405](https://github.com/jamiepine/voicebox/pull/405)) — `cpal::Stream` was dropped on function return immediately after `play()`, causing every playback to fall silent. Now holds the stream until either the buffer drains or the stop flag fires (#404)
+
+#### Stories & History
+- **Clip-splitting race** ([#403](https://github.com/jamiepine/voicebox/pull/403)) — rapid double-clicks on split could race through `split_story_item` with inconsistent state. Added `with_for_update()` row locking on the backend and an `isPending` guard on the frontend (#366)
+- **History `status` staleness** ([#394](https://github.com/jamiepine/voicebox/pull/394)) — `GET /history/{id}` was hardcoding `status="completed"` regardless of the DB row, breaking any client polling for job completion. Now returns `status`, `error`, `engine`, `model_size`, and `is_favorited` from the actual row
+- **"Clear failed" bulk button** ([#412](https://github.com/jamiepine/voicebox/pull/412)) — new `DELETE /history/failed` endpoint and a header strip showing `"N failed generations"` with a Clear button, complementing the per-row trash icon added in #321 (#410)
+- **Delete failed generations** ([#321](https://github.com/jamiepine/voicebox/pull/321)) — added a trash icon next to the retry button so failed entries can be cleaned up without having to retry first
+
+#### Security & Safety
+- **Voice prompt cache hardening** ([#429](https://github.com/jamiepine/voicebox/pull/429)) — `torch.load(weights_only=True)` on cached voice prompts per PyTorch 2.6 recommendation; replaced string-based SPA path guard with `Path.is_relative_to()` for more robust path-traversal protection
+
+#### Infrastructure & Docker
+- **Docker web build** ([#344](https://github.com/jamiepine/voicebox/pull/344)) — include `CHANGELOG.md` in the Docker web build so the in-app changelog page works in Docker deployments
+- **Docker numba cache** ([#425](https://github.com/jamiepine/voicebox/pull/425)) — set `NUMBA_CACHE_DIR` in docker-compose so numba can write its JIT cache in container runtime (#308)
+- **Relative media paths** ([#332](https://github.com/jamiepine/voicebox/pull/332)) — media paths now stored relative to the configured data dir rather than resolved against CWD, so the data directory is portable between installs
+
+### Developer Tooling
+
+- New `triage-prs` agent skill — encodes the end-to-end PR-speedrun workflow (classification → triage doc → rebase → squash-merge → follow-ups) so future release cycles can reproduce it
+- Rewrote the TTS engine guide with the patterns learned from adding TADA and Kokoro
+- Added the API refactor plan and CUDA libs addon design doc
+- Fixed broken links in the Get Started section ([#332](https://github.com/jamiepine/voicebox/pull/332))
+
+### New Contributors
+
+Huge thank you to everyone who contributed their first PR to Voicebox in this release:
+
+[@liorshahverdi](https://github.com/liorshahverdi), [@nicoschtein](https://github.com/nicoschtein), [@ArfianID](https://github.com/ArfianID), [@aimaaaimaa](https://github.com/aimaaaimaa), [@maxmcoding](https://github.com/maxmcoding), [@Khalodddd](https://github.com/Khalodddd), [@LuisSambrano](https://github.com/LuisSambrano), [@shaun0927](https://github.com/shaun0927), [@malletfils](https://github.com/malletfils), [@mvanhorn](https://github.com/mvanhorn), [@kuishou68](https://github.com/kuishou68), [@txhno](https://github.com/txhno), [@MukundaKatta](https://github.com/MukundaKatta)
+
+## [0.3.0] - 2026-03-17
+
+This release rewrites the backend into a modular architecture, overhauls the settings UI into routed sub-pages, fixes audio player freezing, migrates documentation to Fumadocs, and ships a batch of bug fixes targeting the most-reported issues from the tracker.
+
+The backend's 3,000-line monolith `main.py` has been decomposed into domain routers, a services layer, and a proper database package. A style guide and ruff configuration now enforce consistency. On the frontend, settings have been split into dedicated routed pages with server logs, a changelog viewer, and an about page. The audio player no longer freezes mid-playback, and model loading status is now visible in the UI. Seven user-reported bugs have been fixed, including server crashes during sample uploads, generation list staleness, cryptic error messages, and CUDA support for RTX 50-series GPUs.
+
+### Settings Overhaul ([#294](https://github.com/jamiepine/voicebox/pull/294))
+- Split settings into routed sub-tabs: General, Generation, GPU, Logs, Changelog, About
+- Added live server log viewer with auto-scroll
+- Added in-app changelog page that parses `CHANGELOG.md` at build time
+- Added About page with version info, license, and generation folder quick-open
+- Extracted reusable `SettingRow` component for consistent setting layouts
+
+### Audio Player Fix ([#293](https://github.com/jamiepine/voicebox/pull/293))
+- Fixed audio player freezing during playback
+- Improved playback UX with better state management and listener cleanup
+- Fixed restart race condition during regeneration
+- Added stable keys for audio element re-rendering
+- Improved accessibility across player controls
+
+### Backend Refactor ([#285](https://github.com/jamiepine/voicebox/pull/285))
+- Extracted all routes from `main.py` into 13 domain routers under `backend/routes/` — `main.py` dropped from ~3,100 lines to ~10
+- Moved CRUD and service modules into `backend/services/`, platform detection into `backend/utils/`
+- Split monolithic `database.py` into a `database/` package with separate `models`, `session`, `migrations`, and `seed` modules
+- Added `backend/STYLE_GUIDE.md` and `pyproject.toml` with ruff linting config
+- Removed dead code: unused `_get_cuda_dll_excludes`, stale `studio.py`, `example_usage.py`, old `Makefile`
+- Deduplicated shared logic across TTS backends into `backends/base.py`
+- Improved startup logging with version, platform, data directory, and database stats
+- Fixed startup database session leak — sessions now rollback and close in `finally` block
+- Isolated shutdown unload calls so one backend failure doesn't block the others
+- Handled null duration in `story_items` migration
+- Reject model migration when target is a subdirectory of source cache
+
+### Documentation Rewrite ([#288](https://github.com/jamiepine/voicebox/pull/288))
+- Migrated docs site from Mintlify to Fumadocs (Next.js-based)
+- Rewrote introduction and root page with content from README
+- Added "Edit on GitHub" links and last-updated timestamps on all pages
+- Generated OpenAPI spec and auto-generated API reference pages
+- Removed stale planning docs (`CUDA_BACKEND_SWAP`, `EXTERNAL_PROVIDERS`, `MLX_AUDIO`, `TTS_PROVIDER_ARCHITECTURE`, etc.)
+- Sidebar groups now expand by default; root redirects to `/docs`
+- Added OG image metadata and `/og` preview page
+
+### UI & Frontend
+- Added model loading status indicator and effects preset dropdown ([3187344](https://github.com/jamiepine/voicebox/commit/3187344))
+- Fixed take-label race condition during regeneration
+- Added accessible focus styling to select component
+- Softened select focus indicator opacity
+- Addressed 4 critical and 12 major issues from CodeRabbit review
+
+### Bug Fixes ([#295](https://github.com/jamiepine/voicebox/pull/295))
+- Fixed sample uploads crashing the server — audio decoding now runs in a thread pool instead of blocking the async event loop ([#278](https://github.com/jamiepine/voicebox/issues/278))
+- Fixed generation list not updating when a generation completes — switched to `refetchQueries` for reliable cache busting, added SSE error fallback, and page reset on completion ([#231](https://github.com/jamiepine/voicebox/issues/231))
+- Fixed error toasts showing `[object Object]` instead of the actual error message ([#290](https://github.com/jamiepine/voicebox/issues/290))
+- Added Whisper model selection (`base`, `small`, `medium`, `large`, `turbo`) and expanded language support to the `/transcribe` endpoint ([#233](https://github.com/jamiepine/voicebox/issues/233))
+- Upgraded CUDA backend build from cu121 to cu126 for RTX 50-series (Blackwell) GPU support ([#289](https://github.com/jamiepine/voicebox/issues/289))
+- Handled client disconnects in SSE and streaming endpoints to suppress `[Errno 32] Broken Pipe` errors ([#248](https://github.com/jamiepine/voicebox/issues/248))
+- Fixed Docker build failure from pip hash mismatch on Qwen3-TTS dependencies ([#286](https://github.com/jamiepine/voicebox/issues/286))
+- Added 50 MB upload size limit with chunked reads to prevent unbounded memory allocation on sample uploads
+- Eliminated redundant double audio decode in sample processing pipeline
+
+### Platform Fixes
+- Replaced `netstat` with `TcpStream` + PowerShell for Windows port detection ([#277](https://github.com/jamiepine/voicebox/pull/277))
+- Fixed Docker frontend build and cleaned up Docker docs
+- Fixed macOS download links to use `.dmg` instead of `.app.tar.gz`
+- Added dynamic download redirect routes to landing site
+
+### Release Tooling
+- Added `draft-release-notes` and `release-bump` agent skills
+- Wired CI release workflow to extract notes from `CHANGELOG.md` for GitHub Releases
+- Backfilled changelog with all historical releases
+
+## [0.2.3] - 2026-03-15
+
+The "it works in dev but not in prod" release. This version fixes a series of PyInstaller bundling issues that prevented model downloading, loading, generation, and progress tracking from working in production builds.
+
+### Model Downloads Now Actually Work
+
+The v0.2.1/v0.2.2 builds could not download or load models that weren't already cached from a dev install. This release fixes the entire chain:
+
+- **Chatterbox, Chatterbox Turbo, and LuxTTS** all download, load, and generate correctly in bundled builds
+- **Real-time download progress** — byte-level progress bars now work in production. The root cause: `huggingface_hub` silently disables tqdm progress bars based on logger level, which prevented our progress tracker from receiving byte updates. We now force-enable the internal counter regardless.
+- **Fixed Python 3.12.0 `code.replace()` bug** — the macOS build was on Python 3.12.0, which has a [known CPython bug](https://github.com/pyinstaller/pyinstaller/issues/7992) that corrupts bytecode when PyInstaller rewrites code objects. This caused `NameError: name 'obj' is not defined` crashes during scipy/torch imports. Upgraded to Python 3.12.13.
+
+### PyInstaller Fixes
+
+- Collect all `inflect` files — `typeguard`'s `@typechecked` decorator calls `inspect.getsource()` at import time, which needs `.py` source files, not just bytecode. Fixes LuxTTS "could not get source code" error.
+- Collect all `perth` files — bundles the pretrained watermark model (`hparams.yaml`, `.pth.tar`) needed by Chatterbox at runtime
+- Collect all `piper_phonemize` files — bundles `espeak-ng-data/` (phoneme tables, language dicts) needed by LuxTTS for text-to-phoneme conversion
+- Set `ESPEAK_DATA_PATH` in frozen builds so the espeak-ng C library finds the bundled data instead of looking at `/usr/share/espeak-ng-data/`
+- Collect all `linacodec` files — fixes `inspect.getsource` error in Vocos codec
+- Collect all `zipvoice` files — fixes source code lookup in LuxTTS voice cloning
+- Copy metadata for `requests`, `transformers`, `huggingface-hub`, `tokenizers`, `safetensors`, `tqdm` — fixes `importlib.metadata` lookups in frozen binary
+- Add hidden imports for `chatterbox`, `chatterbox_turbo`, `luxtts`, `zipvoice` backends
+- Add `multiprocessing.freeze_support()` to fix resource_tracker subprocess crash in frozen binary
+- `--noconsole` now only applied on Windows — macOS/Linux need stdout/stderr for Tauri sidecar log capture
+- Hardened `sys.stdout`/`sys.stderr` devnull redirect to test writability, not just `None` check
+
+### Updater
+
+- Fixed updater artifact generation with `v1Compatible` for `tauri-action` signature files
+- Updated `tauri-action` to v0.6 to fix updater JSON and `.sig` generation
+
+### Other Fixes
+
+- Full traceback logging on all backend model loading errors (was just `str(e)` before)
+
+## [0.2.2] - 2026-03-15
+
+- Fix Chatterbox model support in bundled builds
+- Fix LuxTTS/ZipVoice support in bundled builds
+- Auto-update CUDA binary when app version changes
+- CUDA download progress bar
+- Fix server process staying alive on macOS (SIGHUP handling, watchdog grace period)
+- Hide console window when running CUDA binary on Windows
+
+## [0.2.1] - 2026-03-15
+
+Voicebox v0.1.x was a single-engine voice cloning app built around Qwen3-TTS. v0.2.0 is a ground-up rethink: four TTS engines, 23 languages, paralinguistic emotion controls, a post-processing effects pipeline, unlimited generation length, an async generation queue, and support for every major GPU vendor. Plus Docker.
+
+### New TTS Engines
+
+#### Multi-Engine Architecture
+
+Voicebox now runs **four independent TTS engines** behind a thread-safe per-engine backend registry. Switch engines per-generation from a single dropdown — no restart required.
+
+| Engine                      | Languages | Size    | Key Strengths                                 |
+| --------------------------- | --------- | ------- | --------------------------------------------- |
+| **Qwen3-TTS 1.7B**          | 10        | ~3.5 GB | Highest quality, delivery instructions        |
+| **Qwen3-TTS 0.6B**          | 10        | ~1.2 GB | Lighter, faster variant                       |
+| **LuxTTS**                  | English   | ~300 MB | CPU-friendly, 48 kHz output, 150x realtime    |
+| **Chatterbox Multilingual** | 23        | ~3.2 GB | Broadest language coverage, zero-shot cloning |
+| **Chatterbox Turbo**        | English   | ~1.5 GB | 350M params, low latency, paralinguistic tags |
+
+#### Chatterbox Multilingual — 23 Languages ([#257](https://github.com/jamiepine/voicebox/pull/257))
+
+Zero-shot voice cloning in Arabic, Chinese, Danish, Dutch, English, Finnish, French, German, Greek, Hebrew, Hindi, Italian, Japanese, Korean, Malay, Norwegian, Polish, Portuguese, Russian, Spanish, Swahili, Swedish, and Turkish.
+
+#### LuxTTS — Lightweight English TTS ([#254](https://github.com/jamiepine/voicebox/pull/254))
+
+A fast, CPU-friendly English engine. ~300 MB download, 48 kHz output, runs at 150x realtime on CPU.
+
+#### Chatterbox Turbo — Expressive English ([#258](https://github.com/jamiepine/voicebox/pull/258))
+
+A fast 350M-parameter English model with inline paralinguistic tags.
+
+#### Paralinguistic Tags Autocomplete ([#265](https://github.com/jamiepine/voicebox/pull/265))
+
+Type `/` in the text input with Chatterbox Turbo selected to open an autocomplete for **9 expressive tags**: `[laugh]` `[chuckle]` `[gasp]` `[cough]` `[sigh]` `[groan]` `[sniff]` `[shush]` `[clear throat]`
+
+### Generation
+
+#### Unlimited Generation Length — Auto-Chunking ([#266](https://github.com/jamiepine/voicebox/pull/266))
+
+Long text is now automatically split at sentence boundaries, generated per-chunk, and crossfaded back together. Engine-agnostic.
+
+- Auto-chunking limit slider — 100–5,000 chars (default 800)
+- Crossfade slider — 0–200ms (default 50ms)
+- Max text length raised to 50,000 characters
+- Smart splitting respects abbreviations, CJK punctuation, and `[tags]`
+
+#### Asynchronous Generation Queue ([#269](https://github.com/jamiepine/voicebox/pull/269))
+
+Generation is now fully non-blocking. Serial execution queue prevents GPU contention. Real-time SSE status streaming.
+
+#### Generation Versions
+
+Every generation now supports multiple versions with provenance tracking — original, effects versions, takes, source tracking, version pinning in stories, and favorites.
+
+### Post-Processing Effects ([#271](https://github.com/jamiepine/voicebox/pull/271))
+
+A full audio effects system powered by Spotify's `pedalboard` library: Pitch Shift, Reverb, Delay, Chorus/Flanger, Compressor, Gain, High-Pass Filter, Low-Pass Filter. 4 built-in presets, custom presets, per-profile default effects, and live preview.
 
 ### Platform Support
 
-- macOS (Apple Silicon and Intel)
-- Windows
-- Linux (AppImage)
+- **Windows Support** ([#272](https://github.com/jamiepine/voicebox/pull/272)) — Full Windows support with CUDA GPU detection
+- **Linux** ([#262](https://github.com/jamiepine/voicebox/pull/262)) — AMD ROCm, NVIDIA GBM fix, WebKitGTK mic access (build from source)
+- **NVIDIA CUDA Backend Swap** ([#252](https://github.com/jamiepine/voicebox/pull/252)) — Download and swap in CUDA backend from within the app
+- **Intel Arc (XPU) and DirectML** — PyTorch backend supports Intel Arc and DirectML
+- **Docker + Web Deployment** ([#161](https://github.com/jamiepine/voicebox/pull/161)) — 3-stage build, non-root runtime, health checks
+- **Whisper Turbo** — Added `openai/whisper-large-v3-turbo` as a transcription model option
 
----
+### Model Management ([#268](https://github.com/jamiepine/voicebox/pull/268))
 
-## [Unreleased]
+Per-model unload, custom models directory, model folder migration, download cancel/clear UI ([#238](https://github.com/jamiepine/voicebox/pull/238)), restructured settings UI.
 
-### Fixed
-- Audio export failing when Tauri save dialog returns object instead of string path
-- OpenAPI client generator script now documents the local backend port and avoids an unused loop variable warning
+### Security & Reliability
 
-### Added
-- **justfile** - Comprehensive development workflow automation with commands for setup, development, building, testing, and code quality checks
-  - Cross-platform support (macOS, Linux, Windows)
-  - Python version detection and compatibility warnings
-  - Self-documenting help system with `just --list`
+- CORS hardening ([#88](https://github.com/jamiepine/voicebox/pull/88))
+- Network access toggle ([#133](https://github.com/jamiepine/voicebox/pull/133))
+- Offline crash fix ([#152](https://github.com/jamiepine/voicebox/pull/152))
+- Atomic audio saves ([#263](https://github.com/jamiepine/voicebox/pull/263))
+- Filesystem health endpoint
+- Chatterbox float64 dtype fix ([#264](https://github.com/jamiepine/voicebox/pull/264))
 
-### Changed
-- **README** - Updated Quick Start with justfile-based setup instructions
+### Accessibility ([#243](https://github.com/jamiepine/voicebox/pull/243))
 
-### Removed
-- **Makefile** - Replaced by justfile (cross-platform, simpler syntax)
+Screen reader support, keyboard navigation, state-aware `aria-label` attributes on all interactive controls.
 
----
+### UI Polish
 
-## [Unreleased - Planned]
+- Redesigned landing page ([#274](https://github.com/jamiepine/voicebox/pull/274))
+- Voices tab overhaul with inline inspector
+- Responsive layout improvements
+- Duplicate profile name validation ([#175](https://github.com/jamiepine/voicebox/pull/175))
 
-### Planned
-- Real-time streaming synthesis
-- Conversation mode with multiple speakers
-- Voice effects (pitch shift, reverb, M3GAN-style)
-- Timeline-based audio editor
-- Additional voice models (XTTS, Bark)
-- Voice design from text descriptions
-- Project system for saving sessions
-- Plugin architecture
+### Community Contributors
 
----
+[@haosenwang1018](https://github.com/haosenwang1018), [@Balneario-de-Cofrentes](https://github.com/Balneario-de-Cofrentes), [@ageofalgo](https://github.com/ageofalgo), [@mikeswann](https://github.com/mikeswann), [@rayl15](https://github.com/rayl15), [@mpecanha](https://github.com/mpecanha), [@ways2read](https://github.com/ways2read), [@ieguiguren](https://github.com/ieguiguren), [@Vaibhavee89](https://github.com/Vaibhavee89), [@pandego](https://github.com/pandego), [@luminest-llc](https://github.com/luminest-llc)
 
+## [0.1.13] - 2026-02-23
+
+### Stability and reliability
+
+- [#95](https://github.com/jamiepine/voicebox/pull/95) Fix: selecting 0.6B model still downloads and uses 1.7B
+- [#93](https://github.com/jamiepine/voicebox/pull/93) fix(mlx): bundle native libs and broaden error handling for Apple Silicon
+- [#79](https://github.com/jamiepine/voicebox/pull/79) fix: handle non-ASCII filenames in Content-Disposition headers
+- [#78](https://github.com/jamiepine/voicebox/pull/78) fix: guard getUserMedia call against undefined mediaDevices in non-secure contexts
+- [#77](https://github.com/jamiepine/voicebox/pull/77) fix: await for confirmation before deleting voices and channels
+- [#128](https://github.com/jamiepine/voicebox/pull/128) fix: resolve multiple issues (#96, #119, #111, #108, #121, #125, #127)
+- [#40](https://github.com/jamiepine/voicebox/pull/40) Fix: audio export path resolution
+
+### Build and packaging
+
+- [#122](https://github.com/jamiepine/voicebox/pull/122) fix(web): add @tailwindcss/vite plugin to web config
+- [#126](https://github.com/jamiepine/voicebox/pull/126) Create requirements.txt
+
+### UX and docs
+
+- [#44](https://github.com/jamiepine/voicebox/pull/44) Enhances floating generate box UX
+- [#57](https://github.com/jamiepine/voicebox/pull/57) chore: updates repo URL in README
+- [#146](https://github.com/jamiepine/voicebox/pull/146) Add Spacebot banner to landing page
+- [#1](https://github.com/jamiepine/voicebox/pull/1) Improvements
+
+## [0.1.12] - 2026-01-31
+
+### Model Download UX Overhaul
+
+- Real-time download progress tracking with accurate percentage and speed info
+- No more downloading notifications during generation even when its not downloading
+- Better error handling and status reporting throughout the download process
+
+### Other Improvements
+
+- Enhanced health check endpoint with GPU type information
+- Improved model caching verification
+- More reliable SSE progress updates
+- Actual update notifications — no need to manually check in settings anymore
+
+## [0.1.11] - 2026-01-30
+
+- Fixed transcriptions on MLX
+- Fixed model download progress (finally)
+
+## [0.1.10] - 2026-01-30
+
+### Faster generation on Apple Silicon
+
+Massive speed gains, from around 20s per generation to 2-3s. Added native MLX backend support for Apple Silicon, providing significantly faster TTS and STT generation on M-series macOS machines.
+
+- **MLX Backend** — New backend implementation optimized for Apple Silicon using MLX framework
+- **Dynamic Backend Selection** — Automatically detects platform and selects between MLX (macOS) and PyTorch (other platforms)
+- Refactored TTS and STT logic into modular backend implementations
+- Updated build process to include MLX-specific dependencies for macOS builds
+
+## [0.1.9] - 2026-01-30
+
+### Improved voice profile creation flow
+
+- Voice create drafts: No longer lose work if you close the modal
+- Fixed whisper only transcribing English or Chinese, now has support for all languages
+
+### Improved Stories editor
+
+- Added spacebar for play/pause
+- Timeline now auto-scrolls to follow playhead during playback
+- Fixed misalignment of the items with mouse when picking up
+- Fixed hitbox for selecting an item
+- Fixed playhead jumping forward when pressing play
+
+### Generation box improvements
+
+- Instruct mode no longer wipes prompt text
+- Improved UI cleanliness
+
+### Misc
+
+- Fixed "Model downloading" toast during generation when model is already downloaded
+
+## [0.1.8] - 2026-01-29
+
+### Model Download Timeout Issues
+
+Fixed critical issue where model downloads would fail with "Failed to fetch" errors on Windows. Refactored download endpoints to return immediately and continue downloads in background.
+
+### Cross-Platform Cache Path Issues
+
+Fixed hardcoded `~/.cache/huggingface/hub` paths that don't work on Windows. All cache paths now use `hf_constants.HF_HUB_CACHE` for proper cross-platform support.
+
+### Windows Process Management
+
+- Added `/shutdown` endpoint for graceful server shutdown on Windows
+- Added `gpu_type` field to health check response
+
+## [0.1.7] - 2026-01-29
+
+- Trim and split audio clips in Story Editor
+- Auto-activation of stories in Story Editor with visible playhead
+- Conditional auto-play support in AudioPlayer for better user control
+- Refactored audio loading across HistoryTable, SampleList, and generation forms
+- Audio now only auto-plays when explicitly intended, preventing unexpected playback
+
+## [0.1.6] - 2026-01-29
+
+### Introducing Stories
+
+A full voice editor for composing podcasts and generated conversations.
+
+- **Stories Editor** — Create multi-voice narratives, podcasts, or conversations with a timeline-based editor
+- Compose tracks with different voices
+- Edit and arrange audio segments inline
+- Build generated conversations with multiple participants
+- **Improved Voice Generation UI** — Auto-resizing input, default voice selection, better layout
+- **Track Editor Integration** — Inline track editing within story items
+
+## [0.1.5] - 2026-01-28
+
+Fixed recording length limit at 0:29 to auto stop instead of passing the limit and getting an error, which would cause users to lose their recording.
+
+## [0.1.4] - 2026-01-28
+
+- Audio channel management system
+- Native audio playback handling in AudioPlayer component
+- Refactored ConnectionForm and Checkbox components
+- Improved layout consistency and responsiveness
+- Added safe area constants for better responsive design
+
+## [0.1.3] - 2026-01-27
+
+- Improved the generate textbox
+- Maybe fixed Windows autoupdate restarting entire computer
+
+## [0.1.2] - 2026-01-27
+
+### Audio Capture & Format Conversion
+
+- Added audio format conversion util
+- Enhanced system audio capture on macOS and Windows
+- Improved audio recording hooks
+- Added audio input entitlement for macOS
+- Added audio capture tests
+
+### Update System
+
+- Enhanced auto-updater functionality and update status display
+
+## [0.1.1] - 2026-01-27
+
+### Platform Support
+
+- **macOS Audio Capture** — Native audio capture support for sample creation
+- **Windows Audio Capture** — WASAPI implementation with improved thread safety
+- **Linux Support** — Temporarily removed builds due to runner disk space constraints
+
+### Audio Features
+
+- Play/pause for audio samples across all components
+- Three new sample components: Recording, System capture, Upload with drag-and-drop
+- Audio validation, error handling, and consistent cleanup
+
+### Voice Profile Management
+
+- Profile import with file size validation (100MB limit)
+- Enhanced profile form with new audio sample components
+- Drag-and-drop support for audio file uploads
+
+### Server Management
+
+- Changed default URL from `localhost:8000` to `127.0.0.1:17493`
+- Server reuse logic, "keep server running" preference, orphaned process handling
+
+### Build & Release
+
+- Added `.bumpversion.cfg` for automated version management
+- Enhanced icon generation script for multi-size Windows icons
+
+### Bug Fixes
+
+- Fixed date formatting for timezone-less date strings
+- Fixed getLatestRelease file filtering
+- Improved audio duration metadata on Windows
+
+## [0.1.0] - 2026-01-27
+
+The first public release of Voicebox — an open-source voice synthesis studio powered by Qwen3-TTS.
+
+### Voice Cloning with Qwen3-TTS
+
+- Automatic model download from HuggingFace
+- Multiple model sizes (1.7B and 0.6B)
+- Voice prompt caching for instant regeneration
+- English and Chinese support
+
+### Voice Profile Management
+
+- Create profiles from audio files or record directly in the app
+- Multiple samples per profile for higher quality cloning
+- Import/Export profiles
+- Automatic transcription via Whisper
+
+### Speech Generation
+
+- Simple text-to-speech with profile selection
+- Seed control for reproducible generations
+- Long-form support up to 5,000 characters
+
+### Generation History
+
+- Full history with metadata
+- Search by text content
+- Inline playback and download
+
+### Flexible Deployment
+
+- Local mode with bundled backend
+- Remote mode for GPU servers on your network
+- One-click server setup
+
+### Desktop Experience
+
+- Built with Tauri v2 (Rust) — native performance, not Electron
+- Cross-platform: macOS and Windows
+- No Python installation required
+
+### Tech Stack
+
+Tauri v2, React, TypeScript, Tailwind CSS, FastAPI, Qwen3-TTS, Whisper, SQLite
+
+[Unreleased]: https://github.com/jamiepine/voicebox/compare/v0.4.0...HEAD
+[0.4.0]: https://github.com/jamiepine/voicebox/compare/v0.3.0...v0.4.0
+[0.3.0]: https://github.com/jamiepine/voicebox/compare/v0.2.3...v0.3.0
+[0.2.3]: https://github.com/jamiepine/voicebox/compare/v0.2.2...v0.2.3
+[0.2.2]: https://github.com/jamiepine/voicebox/compare/v0.2.1...v0.2.2
+[0.2.1]: https://github.com/jamiepine/voicebox/compare/v0.1.13...v0.2.1
+[0.1.13]: https://github.com/jamiepine/voicebox/compare/v0.1.12...v0.1.13
+[0.1.12]: https://github.com/jamiepine/voicebox/compare/v0.1.11...v0.1.12
+[0.1.11]: https://github.com/jamiepine/voicebox/compare/v0.1.10...v0.1.11
+[0.1.10]: https://github.com/jamiepine/voicebox/compare/v0.1.9...v0.1.10
+[0.1.9]: https://github.com/jamiepine/voicebox/compare/v0.1.8...v0.1.9
+[0.1.8]: https://github.com/jamiepine/voicebox/compare/v0.1.7...v0.1.8
+[0.1.7]: https://github.com/jamiepine/voicebox/compare/v0.1.6...v0.1.7
+[0.1.6]: https://github.com/jamiepine/voicebox/compare/v0.1.5...v0.1.6
+[0.1.5]: https://github.com/jamiepine/voicebox/compare/v0.1.4...v0.1.5
+[0.1.4]: https://github.com/jamiepine/voicebox/compare/v0.1.3...v0.1.4
+[0.1.3]: https://github.com/jamiepine/voicebox/compare/v0.1.2...v0.1.3
+[0.1.2]: https://github.com/jamiepine/voicebox/compare/v0.1.1...v0.1.2
+[0.1.1]: https://github.com/jamiepine/voicebox/compare/v0.1.0...v0.1.1
 [0.1.0]: https://github.com/jamiepine/voicebox/releases/tag/v0.1.0

Dockerfile

@@ -9,7 +9,7 @@ FROM oven/bun:1 AS frontend
 WORKDIR /build
 
 # Copy workspace config and frontend source
-COPY package.json bun.lock ./
+COPY package.json bun.lock CHANGELOG.md ./
 COPY app/ ./app/
 COPY web/ ./web/
 
@@ -31,8 +31,12 @@ RUN apt-get update && apt-get install -y --no-install-recommends \
     build-essential \
     && rm -rf /var/lib/apt/lists/*
 
+RUN pip install --no-cache-dir --upgrade pip
+
 COPY backend/requirements.txt .
 RUN pip install --no-cache-dir --prefix=/install -r requirements.txt
+RUN pip install --no-cache-dir --prefix=/install --no-deps chatterbox-tts
+RUN pip install --no-cache-dir --prefix=/install --no-deps hume-tada
 RUN pip install --no-cache-dir --prefix=/install \
     git+https://github.com/QwenLM/Qwen3-TTS.git
 

PATCH_NOTES.md

@@ -1,58 +0,0 @@
-# Voicebox Offline Mode Fix
-
-## Problem
-Voicebox crashes when generating speech if HuggingFace is unreachable, even when models are fully cached locally.
-
-**Root Cause:**
-- Voicebox downloads `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` (MLX optimized version)
-- But `mlx_audio.tts.load()` tries to fetch `config.json` from original repo `Qwen/Qwen3-TTS-12Hz-1.7B-Base`
-- This network request fails → server crashes with `RemoteDisconnected`
-
-**Related Issues:**
-- Issue #150: "Internet connection required, even though models are downloaded?"
-- Issue #151: "API Stability Issues: Model Loading Hangs and Server Crashes"
-
-## Solution
-Two-part fix:
-
-### 1. Monkey-patch huggingface_hub (`backend/utils/hf_offline_patch.py`)
-- Intercepts cache lookup functions
-- Forces offline mode early (before mlx_audio imports)
-- Adds debug logging for cache hits/misses
-
-### 2. Symlink original repo to MLX version (`ensure_original_qwen_config_cached()`)
-- When original `Qwen/Qwen3-TTS-12Hz-1.7B-Base` cache doesn't exist
-- But MLX `mlx-community/Qwen3-TTS-12Hz-1.7B-Base-bf16` does exist
-- Creates a symlink so cache lookups succeed
-
-## Files Changed
-- `backend/backends/mlx_backend.py` - Added patch imports at top
-- `backend/utils/hf_offline_patch.py` - New patch module
-
-## Testing
-To test this fix:
-1. Build Voicebox from source: `just build`
-2. Disconnect from internet
-3. Try generating speech
-4. Should work without network requests
-
-## Build Instructions
-
-```bash
-# Install dependencies
-just setup
-
-# Build the app
-just build
-
-# Or build just the server
-just build-server
-```
-
-## Notes
-- The patch is applied automatically when `mlx_backend.py` is imported
-- Set `VOICEBOX_OFFLINE_PATCH=0` to disable the patch
-- The symlink approach works because the config.json is compatible between versions
-
----
-*Patch contributed by community*

README.md

@@ -27,10 +27,10 @@
 
 <p align="center">
   <a href="https://voicebox.sh">voicebox.sh</a> •
+  <a href="https://docs.voicebox.sh">Docs</a> •
   <a href="#download">Download</a> •
   <a href="#features">Features</a> •
-  <a href="#api">API</a> •
-  <a href="#roadmap">Roadmap</a>
+  <a href="#api">API</a>
 </p>
 
 <br/>
@@ -59,10 +59,10 @@
 
 ## What is Voicebox?
 
-Voicebox is a **local-first voice cloning studio** — a free and open-source alternative to ElevenLabs. Clone voices from a few seconds of audio, generate speech in 23 languages across 4 TTS engines, apply post-processing effects, and compose multi-voice projects with a timeline editor.
+Voicebox is a **local-first voice cloning studio** — a free and open-source alternative to ElevenLabs. Clone voices from a few seconds of audio, generate speech in 23 languages across 5 TTS engines, apply post-processing effects, and compose multi-voice projects with a timeline editor.
 
 - **Complete privacy** — models and voice data stay on your machine
-- **4 TTS engines** — Qwen3-TTS, LuxTTS, Chatterbox Multilingual, and Chatterbox Turbo
+- **5 TTS engines** — Qwen3-TTS, LuxTTS, Chatterbox Multilingual, Chatterbox Turbo, and HumeAI TADA
 - **23 languages** — from English to Arabic, Japanese, Hindi, Swahili, and more
 - **Post-processing effects** — pitch shift, reverb, delay, chorus, compression, and filters
 - **Expressive speech** — paralinguistic tags like `[laugh]`, `[sigh]`, `[gasp]` via Chatterbox Turbo
@@ -76,12 +76,12 @@ Voicebox is a **local-first voice cloning studio** — a free and open-source al
 
 ## Download
 
-| Platform | Download |
-|----------|----------|
-| macOS (Apple Silicon) | [Download DMG](https://voicebox.sh/download/mac-arm) |
-| macOS (Intel) | [Download DMG](https://voicebox.sh/download/mac-intel) |
-| Windows | [Download MSI](https://voicebox.sh/download/windows) |
-| Docker | `docker compose up` |
+| Platform              | Download                                               |
+| --------------------- | ------------------------------------------------------ |
+| macOS (Apple Silicon) | [Download DMG](https://voicebox.sh/download/mac-arm)   |
+| macOS (Intel)         | [Download DMG](https://voicebox.sh/download/mac-intel) |
+| Windows               | [Download MSI](https://voicebox.sh/download/windows)   |
+| Docker                | `docker compose up`                                    |
 
 > **[View all binaries →](https://github.com/jamiepine/voicebox/releases/latest)**
 
@@ -93,14 +93,15 @@ Voicebox is a **local-first voice cloning studio** — a free and open-source al
 
 ### Multi-Engine Voice Cloning
 
-Four TTS engines with different strengths, switchable per-generation:
+Five TTS engines with different strengths, switchable per-generation:
 
-| Engine | Languages | Strengths |
-|--------|-----------|-----------|
-| **Qwen3-TTS** (0.6B / 1.7B) | 10 | High-quality multilingual cloning, delivery instructions ("speak slowly", "whisper") |
-| **LuxTTS** | English | Lightweight (~1GB VRAM), 48kHz output, 150x realtime on CPU |
-| **Chatterbox Multilingual** | 23 | Broadest language coverage — Arabic, Danish, Finnish, Greek, Hebrew, Hindi, Malay, Norwegian, Polish, Swahili, Swedish, Turkish and more |
-| **Chatterbox Turbo** | English | Fast 350M model with paralinguistic emotion/sound tags |
+| Engine                      | Languages | Strengths                                                                                                                                |
+| --------------------------- | --------- | ---------------------------------------------------------------------------------------------------------------------------------------- |
+| **Qwen3-TTS** (0.6B / 1.7B) | 10        | High-quality multilingual cloning, delivery instructions ("speak slowly", "whisper")                                                     |
+| **LuxTTS**                  | English   | Lightweight (~1GB VRAM), 48kHz output, 150x realtime on CPU                                                                              |
+| **Chatterbox Multilingual** | 23        | Broadest language coverage — Arabic, Danish, Finnish, Greek, Hebrew, Hindi, Malay, Norwegian, Polish, Swahili, Swedish, Turkish and more |
+| **Chatterbox Turbo**        | English   | Fast 350M model with paralinguistic emotion/sound tags                                                                                   |
+| **TADA** (1B / 3B)          | 10        | HumeAI speech-language model — 700s+ coherent audio, text-acoustic dual alignment                                                        |
 
 ### Emotions & Paralinguistic Tags
 
@@ -112,16 +113,16 @@ Type `/` in the text input to insert expressive tags that the model synthesizes
 
 8 audio effects powered by Spotify's `pedalboard` library. Apply after generation, preview in real time, build reusable presets.
 
-| Effect | Description |
-|--------|-------------|
-| Pitch Shift | Up or down by up to 12 semitones |
-| Reverb | Configurable room size, damping, wet/dry mix |
-| Delay | Echo with adjustable time, feedback, and mix |
+| Effect           | Description                                   |
+| ---------------- | --------------------------------------------- |
+| Pitch Shift      | Up or down by up to 12 semitones              |
+| Reverb           | Configurable room size, damping, wet/dry mix  |
+| Delay            | Echo with adjustable time, feedback, and mix  |
 | Chorus / Flanger | Modulated delay for metallic or lush textures |
-| Compressor | Dynamic range compression |
-| Gain | Volume adjustment (-40 to +40 dB) |
-| High-Pass Filter | Remove low frequencies |
-| Low-Pass Filter | Remove high frequencies |
+| Compressor       | Dynamic range compression                     |
+| Gain             | Volume adjustment (-40 to +40 dB)             |
+| High-Pass Filter | Remove low frequencies                        |
+| Low-Pass Filter  | Remove high frequencies                       |
 
 Ships with 4 built-in presets (Robotic, Radio, Echo Chamber, Deep Voice) and supports custom presets. Effects can be assigned per-profile as defaults.
 
@@ -186,14 +187,14 @@ Multi-voice timeline editor for conversations, podcasts, and narratives.
 
 ### GPU Support
 
-| Platform | Backend | Notes |
-|----------|---------|-------|
-| macOS (Apple Silicon) | MLX (Metal) | 4-5x faster via Neural Engine |
+| Platform                 | Backend        | Notes                                          |
+| ------------------------ | -------------- | ---------------------------------------------- |
+| macOS (Apple Silicon)    | MLX (Metal)    | 4-5x faster via Neural Engine                  |
 | Windows / Linux (NVIDIA) | PyTorch (CUDA) | Auto-downloads CUDA binary from within the app |
-| Linux (AMD) | PyTorch (ROCm) | Auto-configures HSA_OVERRIDE_GFX_VERSION |
-| Windows (any GPU) | DirectML | Universal Windows GPU support |
-| Intel Arc | IPEX/XPU | Intel discrete GPU acceleration |
-| Any | CPU | Works everywhere, just slower |
+| Linux (AMD)              | PyTorch (ROCm) | Auto-configures HSA_OVERRIDE_GFX_VERSION       |
+| Windows (any GPU)        | DirectML       | Universal Windows GPU support                  |
+| Intel Arc                | IPEX/XPU       | Intel discrete GPU acceleration                |
+| Any                      | CPU            | Works everywhere, just slower                  |
 
 ---
 
@@ -224,30 +225,30 @@ Full API documentation available at `http://localhost:17493/docs`.
 
 ## Tech Stack
 
-| Layer | Technology |
-|-------|------------|
-| Desktop App | Tauri (Rust) |
-| Frontend | React, TypeScript, Tailwind CSS |
-| State | Zustand, React Query |
-| Backend | FastAPI (Python) |
-| TTS Engines | Qwen3-TTS, LuxTTS, Chatterbox, Chatterbox Turbo |
-| Effects | Pedalboard (Spotify) |
-| Transcription | Whisper / Whisper Turbo (PyTorch or MLX) |
-| Inference | MLX (Apple Silicon) / PyTorch (CUDA/ROCm/XPU/CPU) |
-| Database | SQLite |
-| Audio | WaveSurfer.js, librosa |
+| Layer         | Technology                                        |
+| ------------- | ------------------------------------------------- |
+| Desktop App   | Tauri (Rust)                                      |
+| Frontend      | React, TypeScript, Tailwind CSS                   |
+| State         | Zustand, React Query                              |
+| Backend       | FastAPI (Python)                                  |
+| TTS Engines   | Qwen3-TTS, LuxTTS, Chatterbox, Chatterbox Turbo, TADA |
+| Effects       | Pedalboard (Spotify)                              |
+| Transcription | Whisper / Whisper Turbo (PyTorch or MLX)          |
+| Inference     | MLX (Apple Silicon) / PyTorch (CUDA/ROCm/XPU/CPU) |
+| Database      | SQLite                                            |
+| Audio         | WaveSurfer.js, librosa                            |
 
 ---
 
 ## Roadmap
 
-| Feature | Description |
-|---------|-------------|
-| **Real-time Streaming** | Stream audio as it generates, word by word |
-| **Voice Design** | Create new voices from text descriptions |
-| **More Models** | XTTS, Bark, and other open-source voice models |
-| **Plugin Architecture** | Extend with custom models and effects |
-| **Mobile Companion** | Control Voicebox from your phone |
+| Feature                 | Description                                    |
+| ----------------------- | ---------------------------------------------- |
+| **Real-time Streaming** | Stream audio as it generates, word by word     |
+| **Voice Design**        | Create new voices from text descriptions       |
+| **More Models**         | XTTS, Bark, and other open-source voice models  |
+| **Plugin Architecture** | Extend with custom models and effects          |
+| **Mobile Companion**    | Control Voicebox from your phone               |
 
 ---
 
@@ -276,6 +277,12 @@ just build          # Build CPU server binary + Tauri app
 just build-local    # (Windows) Build CPU + CUDA server binaries + Tauri app
 ```
 
+### Adding New Voice Models
+
+The multi-engine architecture makes adding new TTS engines straightforward. A [step-by-step guide](docs/content/docs/developer/tts-engines.mdx) covers the full process: dependency research, backend protocol implementation, frontend wiring, and PyInstaller bundling.
+
+The guide is optimized for AI coding agents. An [agent skill](.agents/skills/add-tts-engine/SKILL.md) can pick up a model name and handle the entire integration autonomously — you just test the build locally.
+
 ### Project Structure
 
 ```

app/package.json

@@ -1,6 +1,6 @@
 {
   "name": "@voicebox/app",
-  "version": "0.2.3",
+  "version": "0.4.0",
   "private": true,
   "type": "module",
   "scripts": {

app/plugins/changelog.ts

@@ -0,0 +1,23 @@
+import { readFileSync } from 'node:fs';
+import path from 'node:path';
+import type { Plugin } from 'vite';
+
+/** Vite plugin that exposes CHANGELOG.md as `virtual:changelog`. */
+export function changelogPlugin(repoRoot: string): Plugin {
+  const virtualId = 'virtual:changelog';
+  const resolvedId = '\0' + virtualId;
+  const changelogPath = path.resolve(repoRoot, 'CHANGELOG.md');
+
+  return {
+    name: 'changelog',
+    resolveId(id) {
+      if (id === virtualId) return resolvedId;
+    },
+    load(id) {
+      if (id === resolvedId) {
+        const raw = readFileSync(changelogPath, 'utf-8');
+        return `export default ${JSON.stringify(raw)};`;
+      }
+    },
+  };
+}

app/src/App.tsx

@@ -4,12 +4,42 @@ import voiceboxLogo from '@/assets/voicebox-logo.png';
 import ShinyText from '@/components/ShinyText';
 import { TitleBarDragRegion } from '@/components/TitleBarDragRegion';
 import { useAutoUpdater } from '@/hooks/useAutoUpdater';
+import { apiClient } from '@/lib/api/client';
+import type { HealthResponse } from '@/lib/api/types';
 import { TOP_SAFE_AREA_PADDING } from '@/lib/constants/ui';
 import { cn } from '@/lib/utils/cn';
 import { usePlatform } from '@/platform/PlatformContext';
 import { router } from '@/router';
+import { useLogStore } from '@/stores/logStore';
 import { useServerStore } from '@/stores/serverStore';
 
+/**
+ * Validate that a health response has the expected Voicebox-specific shape.
+ * Prevents misidentifying an unrelated service on the same port.
+ */
+function isVoiceboxHealthResponse(health: HealthResponse): boolean {
+  return (
+    health?.status === 'healthy' &&
+    typeof health.model_loaded === 'boolean' &&
+    typeof health.gpu_available === 'boolean'
+  );
+}
+
+/**
+ * Check whether a startup error indicates the port is occupied by an external
+ * server (which we should try to reuse via health-check polling) vs. a real
+ * failure (missing sidecar, signing issue, etc.) that should surface immediately.
+ */
+function isPortInUseError(error: unknown): boolean {
+  const msg = error instanceof Error ? error.message : String(error);
+  return (
+    msg.includes('already in use') ||
+    msg.includes('port') ||
+    msg.includes('EADDRINUSE') ||
+    msg.includes('address already in use')
+  );
+}
+
 const LOADING_MESSAGES = [
   'Warming up tensors...',
   'Calibrating synthesizer engine...',
@@ -36,6 +66,7 @@ const LOADING_MESSAGES = [
 function App() {
   const platform = usePlatform();
   const [serverReady, setServerReady] = useState(false);
+  const [startupError, setStartupError] = useState<string | null>(null);
   const [loadingMessageIndex, setLoadingMessageIndex] = useState(0);
   const serverStartingRef = useRef(false);
 
@@ -63,6 +94,14 @@ function App() {
     // eslint-disable-next-line react-hooks/exhaustive-deps
   }, [platform.lifecycle]);
 
+  // Subscribe to server logs
+  useEffect(() => {
+    const unsubscribe = platform.lifecycle.subscribeToServerLogs((entry) => {
+      useLogStore.getState().addEntry(entry);
+    });
+    return unsubscribe;
+  }, [platform.lifecycle]);
+
   // Setup window close handler and auto-start server when running in Tauri (production only)
   useEffect(() => {
     if (!platform.metadata.isTauri) {
@@ -113,6 +152,46 @@ function App() {
         serverStartingRef.current = false;
         // @ts-expect-error - adding property to window
         window.__voiceboxServerStartedByApp = false;
+
+        // Only fall back to health-check polling when the error indicates the
+        // port is occupied (likely an external server). For real failures
+        // (missing sidecar, signing issues, etc.) surface the error immediately.
+        if (!isPortInUseError(error)) {
+          const msg = error instanceof Error ? error.message : String(error);
+          console.error('Real startup failure — not polling:', msg);
+          setStartupError(msg);
+          return;
+        }
+
+        // Fall back to polling: the server may already be running externally
+        // (e.g. started via python/uvicorn/Docker). Poll the health endpoint
+        // until it responds with a valid Voicebox payload, then transition to
+        // the main UI.
+        console.log('Falling back to health-check polling...');
+        const pollInterval = setInterval(async () => {
+          try {
+            const health = await apiClient.getHealth();
+            if (!isVoiceboxHealthResponse(health)) {
+              console.log('Health response is not from a Voicebox server, keep polling...');
+              return;
+            }
+            console.log('External Voicebox server detected via health check');
+            clearInterval(pollInterval);
+            setServerReady(true);
+          } catch {
+            // Server not ready yet, keep polling
+          }
+        }, 2000);
+
+        // Stop polling after 2 minutes and surface the failure
+        setTimeout(() => {
+          clearInterval(pollInterval);
+          serverStartingRef.current = false;
+          setStartupError(
+            'Could not connect to a Voicebox server within 2 minutes. ' +
+              'Please check that the server is running and try again.',
+          );
+        }, 120_000);
       });
 
     // Cleanup: stop server on actual unmount (not StrictMode remount)
@@ -159,15 +238,34 @@ function App() {
               className="w-48 h-48 object-contain animate-fade-in-scale relative z-10"
             />
           </div>
-          <div className="animate-fade-in-delayed">
-            <ShinyText
-              text={LOADING_MESSAGES[loadingMessageIndex]}
-              className="text-lg font-medium text-muted-foreground"
-              speed={2}
-              color="hsl(var(--muted-foreground))"
-              shineColor="hsl(var(--foreground))"
-            />
-          </div>
+          {startupError ? (
+            <div className="animate-fade-in-delayed max-w-md mx-auto space-y-3">
+              <p className="text-lg font-medium text-destructive">Server startup failed</p>
+              <p className="text-sm text-muted-foreground">{startupError}</p>
+              <button
+                type="button"
+                className="mt-2 px-4 py-2 text-sm rounded-md bg-primary text-primary-foreground hover:bg-primary/90 transition-colors"
+                onClick={() => {
+                  setStartupError(null);
+                  serverStartingRef.current = false;
+                  // Trigger a re-mount of the effect by toggling state
+                  window.location.reload();
+                }}
+              >
+                Retry
+              </button>
+            </div>
+          ) : (
+            <div className="animate-fade-in-delayed">
+              <ShinyText
+                text={LOADING_MESSAGES[loadingMessageIndex]}
+                className="text-lg font-medium text-muted-foreground"
+                speed={2}
+                color="hsl(var(--muted-foreground))"
+                shineColor="hsl(var(--foreground))"
+              />
+            </div>
+          )}
         </div>
       </div>
     );

app/src/components/AppFrame/AppFrame.tsx

@@ -14,15 +14,17 @@ interface AppFrameProps {
 export function AppFrame({ children }: AppFrameProps) {
   const routerState = useRouterState();
   const isStoriesRoute = routerState.location.pathname === '/stories';
-  
+
   const selectedStoryId = useStoryStore((state) => state.selectedStoryId);
   const { data: story } = useStory(selectedStoryId);
-  
+
   // Show track editor when on stories route with a selected story that has items
   const showTrackEditor = isStoriesRoute && selectedStoryId && story && story.items.length > 0;
 
   return (
-    <div className={cn('h-screen bg-background flex flex-col overflow-hidden', TOP_SAFE_AREA_PADDING)}>
+    <div
+      className={cn('h-screen bg-background flex flex-col overflow-hidden', TOP_SAFE_AREA_PADDING)}
+    >
       <TitleBarDragRegion />
       {children}
       {showTrackEditor ? (

app/src/components/AudioPlayer/AudioPlayer.tsx

@@ -17,7 +17,6 @@ export function AudioPlayer() {
     audioUrl,
     audioId,
     profileId,
-    title,
     isPlaying,
     currentTime,
     duration,
@@ -63,7 +62,7 @@ export function AudioPlayer() {
     );
 
     return shouldUseNative;
-  }, [profileChannels, channels, profileId]);
+  }, [profileChannels, channels, platform.metadata.isTauri]);
 
   const waveformRef = useRef<HTMLDivElement>(null);
   const wavesurferRef = useRef<WaveSurfer | null>(null);
@@ -73,31 +72,21 @@ export function AudioPlayer() {
   const isUsingNativePlaybackRef = useRef(false);
   const [isLoading, setIsLoading] = useState(false);
   const [error, setError] = useState<string | null>(null);
+  const [wsReady, setWsReady] = useState(false);
 
-  // Initialize WaveSurfer (only when audioUrl exists and container is ready)
+  // Create WaveSurfer once when the player becomes visible (audioUrl is set).
+  // This instance is reused for all subsequent audio loads - never destroyed until unmount.
   useEffect(() => {
-    // Don't initialize if no audioUrl or already initialized
-    if (!audioUrl) {
-      return;
-    }
+    if (!audioUrl) return;
+    if (wavesurferRef.current) return; // already created
 
-    if (wavesurferRef.current) {
-      debug.log('WaveSurfer already initialized, skipping');
-      return;
-    }
-
-    debug.log('Creating NEW WaveSurfer instance');
-
-    // Wait for container to be properly rendered
     const initWaveSurfer = () => {
       const container = waveformRef.current;
       if (!container) {
-        // Container not ready yet, retry
         setTimeout(initWaveSurfer, 50);
         return;
       }
 
-      // Check if container has dimensions and is visible
       const rect = container.getBoundingClientRect();
       const style = window.getComputedStyle(container);
       const isVisible =
@@ -107,412 +96,221 @@ export function AudioPlayer() {
         style.visibility !== 'hidden';
 
       if (!isVisible) {
-        // Retry after a short delay
         setTimeout(initWaveSurfer, 50);
         return;
       }
 
-      debug.log('Initializing WaveSurfer...', {
-        container,
+      debug.log('Creating WaveSurfer instance', {
         width: rect.width,
         height: rect.height,
       });
 
       try {
-        // Get computed CSS variable values
         const root = document.documentElement;
         const getCSSVar = (varName: string) => {
           const value = getComputedStyle(root).getPropertyValue(varName).trim();
           return value ? `hsl(${value})` : '';
         };
 
-        const waveColor = getCSSVar('--muted');
-        const progressColor = getCSSVar('--accent');
-        const cursorColor = getCSSVar('--accent');
-
         const wavesurfer = WaveSurfer.create({
-          container: container,
-          waveColor: waveColor,
-          progressColor: progressColor,
-          cursorColor: cursorColor,
+          container,
+          waveColor: getCSSVar('--muted'),
+          progressColor: getCSSVar('--accent'),
+          cursorColor: getCSSVar('--accent'),
+          cursorWidth: 3,
           barWidth: 2,
           barRadius: 2,
           height: 80,
           normalize: true,
-          // Use MediaElement backend (default). Unlike the WebAudio backend,
-          // MediaElement uses a standard <audio> element for playback which
-          // benefits from the browser/webview's built-in audio session recovery.
-          // This prevents audio loss when another app steals audio output or
-          // the system audio session is interrupted.
-          interact: true, // Enable interaction (click to seek)
-          mediaControls: false, // Don't show native controls
+          interact: true,
+          dragToSeek: { debounceTime: 0 },
+          mediaControls: false,
+          backend: 'WebAudio',
         });
 
-        wavesurferRef.current = wavesurfer;
-        debug.log('WaveSurfer created successfully');
-      } catch (error) {
-        debug.error('Failed to create WaveSurfer:', error);
-        setError(
-          `Failed to initialize waveform: ${error instanceof Error ? error.message : String(error)}`,
-        );
-        return;
-      }
+        // Wire up event handlers (these persist for the lifetime of the instance)
+        wavesurfer.on('timeupdate', (time) => {
+          const dur = usePlayerStore.getState().duration;
+          if (dur > 0 && time >= dur) {
+            setCurrentTime(dur);
+            const loop = usePlayerStore.getState().isLooping;
+            if (loop) {
+              wavesurfer.seekTo(0);
+              wavesurfer.play().catch((err) => debug.error('Loop play failed:', err));
+            } else {
+              wavesurfer.pause();
+              setIsPlaying(false);
+            }
+            return;
+          }
+          setCurrentTime(time);
+        });
 
-      const wavesurfer = wavesurferRef.current;
-      if (!wavesurfer) return;
+        wavesurfer.on('ready', () => {
+          const dur = wavesurfer.getDuration();
+          setDuration(dur);
+          loadingRef.current = false;
+          setIsLoading(false);
+          setError(null);
+          debug.log('Audio ready, duration:', dur);
 
-      // Update store when time changes, stop if past duration
-      wavesurfer.on('timeupdate', (time) => {
-        const dur = usePlayerStore.getState().duration;
-        if (dur > 0 && time >= dur) {
-          setCurrentTime(dur);
+          wavesurfer.setVolume(usePlayerStore.getState().volume);
+          wavesurfer.setMuted(false);
+
+          // Auto-play if the flag is set (story mode advance or explicit play)
+          const shouldAutoPlayNow = usePlayerStore.getState().shouldAutoPlay;
+          if (shouldAutoPlayNow) {
+            usePlayerStore.getState().clearAutoPlayFlag();
+            wavesurfer.play().catch((err) => {
+              debug.error('Failed to autoplay:', err);
+            });
+          } else {
+            debug.log('Skipping auto-play - shouldAutoPlay is false');
+          }
+        });
+
+        wavesurfer.on('play', () => setIsPlaying(true));
+        wavesurfer.on('pause', () => {
+          setIsPlaying(false);
+          setCurrentTime(wavesurfer.getCurrentTime());
+        });
+
+        wavesurfer.on('seeking', (time) => setCurrentTime(time));
+
+        // Mute audio during drag-to-seek to prevent popping from the WebAudio
+        // backend's hard stop/start cycle on each seek. Unmute with a short
+        // fade-in when the drag ends.
+        const seekMedia = wavesurfer.getMediaElement() as any;
+        const seekGain: GainNode | null = seekMedia?.getGainNode?.() ?? null;
+        if (seekGain) {
+          const ctx = seekGain.context as AudioContext;
+          wavesurfer.on('dragstart', () => {
+            seekGain.gain.cancelScheduledValues(ctx.currentTime);
+            seekGain.gain.setTargetAtTime(0, ctx.currentTime, 0.002);
+          });
+          wavesurfer.on('dragend', () => {
+            seekGain.gain.cancelScheduledValues(ctx.currentTime);
+            seekGain.gain.setTargetAtTime(1, ctx.currentTime, 0.01);
+          });
+        }
+        wavesurfer.on('finish', () => {
           const loop = usePlayerStore.getState().isLooping;
           if (loop) {
             wavesurfer.seekTo(0);
-            wavesurfer.play();
+            wavesurfer.play().catch((err) => debug.error('Loop play failed:', err));
           } else {
-            wavesurfer.pause();
             setIsPlaying(false);
+            const onFinish = usePlayerStore.getState().onFinish;
+            if (onFinish) onFinish();
           }
-          return;
-        }
-        setCurrentTime(time);
-      });
-
-      // Update store when duration is loaded
-      wavesurfer.on('ready', async () => {
-        const dur = wavesurfer.getDuration();
-        setDuration(dur);
-        loadingRef.current = false;
-        setIsLoading(false);
-        setError(null);
-        debug.log('Audio ready, duration:', dur);
-        debug.log('Waveform should be visible now');
-
-        // Ensure volume is set
-        const currentVolume = usePlayerStore.getState().volume;
-        wavesurfer.setVolume(currentVolume);
-
-        // Auto-play when ready - check if we should use native playback
-        // Get current values from the store and queries at runtime (not captured closure values)
-        const currentAudioUrl = usePlayerStore.getState().audioUrl;
-        const currentProfileId = usePlayerStore.getState().profileId;
-
-        debug.log('Auto-play check - capturing runtime values...');
-
-        // Fetch profile channels at runtime (not using captured value)
-        let runtimeProfileChannels = null;
-        let runtimeChannels = null;
-
-        if (platform.metadata.isTauri && currentProfileId) {
-          try {
-            runtimeProfileChannels = await apiClient.getProfileChannels(currentProfileId);
-            debug.log('Runtime profileChannels:', runtimeProfileChannels);
-
-            if (runtimeProfileChannels && runtimeProfileChannels.channel_ids.length > 0) {
-              runtimeChannels = await apiClient.listChannels();
-              debug.log('Runtime channels:', runtimeChannels);
-            }
-          } catch (error) {
-            debug.error('Failed to fetch runtime channel data:', error);
-          }
-        }
-
-        debug.log('Auto-play check:', {
-          isTauri: platform.metadata.isTauri,
-          currentAudioUrl,
-          currentProfileId,
-          hasProfileChannels: !!runtimeProfileChannels,
-          hasChannels: !!runtimeChannels,
         });
 
-        if (
-          platform.metadata.isTauri &&
-          currentAudioUrl &&
-          currentProfileId &&
-          runtimeProfileChannels &&
-          runtimeChannels
-        ) {
-          debug.log('Attempting native audio playback...');
-
-          // Stop any existing native playback first
-          if (isUsingNativePlaybackRef.current) {
-            try {
-              platform.audio.stopPlayback();
-              debug.log('Stopped existing native playback before starting new one');
-            } catch (error) {
-              debug.error('Failed to stop existing playback:', error);
-            }
-          }
-
-          try {
-            // Collect all device IDs from assigned channels
-            const assignedChannels = runtimeChannels.filter((ch: any) =>
-              runtimeProfileChannels.channel_ids.includes(ch.id),
-            );
-            debug.log('Assigned channels for playback:', assignedChannels);
-
-            // Check if any assigned channel has non-default devices
-            const shouldUseNative = assignedChannels.some(
-              (ch: any) => ch.device_ids.length > 0 && !ch.is_default,
-            );
-            debug.log('Should use native playback:', shouldUseNative);
-
-            if (!shouldUseNative) {
-              debug.log('No custom devices assigned, using standard playback');
-              isUsingNativePlaybackRef.current = false;
-            } else {
-              const deviceIds = assignedChannels.flatMap((ch: any) => ch.device_ids);
-              debug.log('Device IDs to play to:', deviceIds);
-
-              if (deviceIds.length > 0) {
-                debug.log('Fetching audio data from:', currentAudioUrl);
-                // Fetch audio data
-                const response = await fetch(currentAudioUrl);
-                const audioData = new Uint8Array(await response.arrayBuffer());
-                debug.log('Audio data size:', audioData.length);
-
-                // Play via native audio
-                debug.log('Invoking play_audio_to_devices...');
-                try {
-                  await platform.audio.playToDevices(audioData, deviceIds);
-                  debug.log('play_audio_to_devices completed successfully');
-
-                  // Mark that we're using native playback
-                  isUsingNativePlaybackRef.current = true;
-
-                  // Mute WaveSurfer's audio output — native handles the actual sound
-                  // Keep WaveSurfer running for waveform visualization
-                  wavesurfer.setVolume(0);
-                  wavesurfer.setMuted(true);
-
-                  // Start WaveSurfer playback for visualization (muted)
-                  wavesurfer.play().catch((error) => {
-                    debug.error('Failed to start WaveSurfer visualization:', error);
-                  });
-
-                  setIsPlaying(true);
-                  debug.log('Auto-playing via native audio routing - SUCCESS');
-                  return;
-                } catch (invokeError) {
-                  debug.error('play_audio_to_devices invoke failed:', invokeError);
-                  throw invokeError;
-                }
-              } else {
-                debug.log('No device IDs found, falling back to WaveSurfer');
-              }
-            }
-          } catch (error) {
-            debug.error(
-              'Native playback failed during auto-play, falling back to WaveSurfer:',
-              error,
-            );
-            isUsingNativePlaybackRef.current = false;
-            // Fall through to WaveSurfer playback
-          }
-        }
-
-        // Standard playback path — ensure WaveSurfer is unmuted
-        if (!isUsingNativePlaybackRef.current) {
-          wavesurfer.setMuted(false);
-          wavesurfer.setVolume(usePlayerStore.getState().volume);
-        }
-
-        // Only auto-play if shouldAutoPlay flag is set (user explicitly clicked to play)
-        const shouldAutoPlayNow = usePlayerStore.getState().shouldAutoPlay;
-        if (shouldAutoPlayNow) {
-          // Clear the flag first
-          usePlayerStore.getState().clearAutoPlayFlag();
-
-          // Use a small delay to ensure audio element is fully ready
-          setTimeout(() => {
-            wavesurfer.play().catch((error) => {
-              debug.error('Failed to autoplay:', error);
-              // Don't show error for autoplay failures (browser restrictions)
-            });
-          }, 100);
-        } else {
-          debug.log('Skipping auto-play - shouldAutoPlay is false');
-        }
-      });
-
-      // Handle play/pause
-      wavesurfer.on('play', () => {
-        setIsPlaying(true);
-      });
-      wavesurfer.on('pause', () => setIsPlaying(false));
-      wavesurfer.on('finish', () => {
-        // Check loop state from store
-        const loop = usePlayerStore.getState().isLooping;
-        if (loop) {
-          wavesurfer.seekTo(0);
-          wavesurfer.play();
-        } else {
-          setIsPlaying(false);
-          // Trigger finish callback if set
-          const onFinish = usePlayerStore.getState().onFinish;
-          if (onFinish) {
-            onFinish();
-          }
-        }
-      });
-
-      // Handle errors
-      wavesurfer.on('error', (error) => {
-        debug.error('WaveSurfer error:', error);
-        setIsLoading(false);
-        setError(`Audio error: ${error instanceof Error ? error.message : String(error)}`);
-      });
-
-      // Handle loading
-      wavesurfer.on('loading', (percent) => {
-        setIsLoading(true);
-        if (percent === 100) {
+        wavesurfer.on('error', (err) => {
+          debug.error('WaveSurfer error:', err);
           setIsLoading(false);
-        }
-      });
+          setError(`Audio error: ${err instanceof Error ? err.message : String(err)}`);
+        });
 
-      // Load audio immediately if audioUrl is already set
-      if (audioUrl) {
-        debug.log('WaveSurfer ready, loading audio:', audioUrl);
-        loadingRef.current = true;
-        setIsLoading(true);
-        // Stop any current playback before loading new audio
-        if (wavesurfer.isPlaying()) {
-          wavesurfer.pause();
-        }
-        wavesurfer
-          .load(audioUrl)
-          .then(() => {
-            debug.log('Audio loaded into WaveSurfer');
-            loadingRef.current = false;
-          })
-          .catch((error) => {
-            debug.error('Failed to load audio into WaveSurfer:', error);
-            loadingRef.current = false;
-            setIsLoading(false);
-            setError(
-              `Failed to load audio: ${error instanceof Error ? error.message : String(error)}`,
-            );
-          });
+        wavesurfer.on('loading', (percent) => {
+          setIsLoading(true);
+          if (percent === 100) setIsLoading(false);
+        });
+
+        wavesurferRef.current = wavesurfer;
+        setWsReady(true);
+        debug.log('WaveSurfer created successfully');
+      } catch (err) {
+        debug.error('Failed to create WaveSurfer:', err);
+        setError(
+          `Failed to initialize waveform: ${err instanceof Error ? err.message : String(err)}`,
+        );
       }
     };
 
-    // Use double requestAnimationFrame to ensure DOM is fully rendered
-    let rafId1: number;
-    let rafId2: number;
-    let timeoutId: number | null = null;
-
-    rafId1 = requestAnimationFrame(() => {
-      rafId2 = requestAnimationFrame(() => {
-        // Add a small delay to ensure container is fully laid out
-        timeoutId = setTimeout(() => {
-          initWaveSurfer();
-        }, 10);
-      });
+    let rafId: number;
+    rafId = requestAnimationFrame(() => {
+      initWaveSurfer();
     });
 
     return () => {
-      debug.log('Cleaning up WaveSurfer initialization effect');
-      if (rafId1) cancelAnimationFrame(rafId1);
-      if (rafId2) cancelAnimationFrame(rafId2);
-      if (timeoutId) clearTimeout(timeoutId);
+      cancelAnimationFrame(rafId);
+    };
+    // Only run on mount-like conditions. audioUrl is here so we create the instance
+    // when the player first appears, but we guard against re-creation above.
+    // eslint-disable-next-line react-hooks/exhaustive-deps
+  }, [audioUrl, setIsPlaying, setDuration, setCurrentTime]);
+
+  // Destroy WaveSurfer only on unmount
+  useEffect(() => {
+    return () => {
       if (wavesurferRef.current) {
-        debug.log('Destroying WaveSurfer instance');
+        debug.log('Destroying WaveSurfer instance (unmount)');
         try {
           wavesurferRef.current.destroy();
-        } catch (error) {
-          debug.error('Error destroying WaveSurfer:', error);
+        } catch (err) {
+          debug.error('Error destroying WaveSurfer:', err);
         }
         wavesurferRef.current = null;
+        setWsReady(false);
       }
     };
-  }, [audioUrl, setIsPlaying, setCurrentTime, setDuration]);
+  }, []);
 
-  // Load audio when URL changes (only if WaveSurfer is already initialized)
+  // Load audio when URL changes (reuses the existing WaveSurfer instance)
   useEffect(() => {
     const wavesurfer = wavesurferRef.current;
+    if (!wavesurfer || !wsReady) return;
 
-    if (!audioUrl || !wavesurfer) {
-      // Reset state when no audio or WaveSurfer not ready
-      if (!audioUrl && wavesurfer) {
-        wavesurfer.pause();
-        wavesurfer.seekTo(0);
-        loadingRef.current = false;
-        setIsLoading(false);
-        setDuration(0);
-        setCurrentTime(0);
-        setError(null);
-        // Reset native playback flag
-        isUsingNativePlaybackRef.current = false;
-      }
+    if (!audioUrl) {
+      // No audio - pause and reset
+      wavesurfer.pause();
+      wavesurfer.seekTo(0);
+      loadingRef.current = false;
+      setIsLoading(false);
+      setDuration(0);
+      setCurrentTime(0);
+      setError(null);
+      isUsingNativePlaybackRef.current = false;
       return;
     }
 
-    // Stop native playback if it was active
-    if (isUsingNativePlaybackRef.current && platform.metadata.isTauri) {
-      try {
-        platform.audio.stopPlayback();
-        debug.log('Stopped native audio playback');
-      } catch (error) {
-        debug.error('Failed to stop native playback:', error);
-      }
-    }
-
-    // Reset native playback flag when loading new audio
-    // Unmute WaveSurfer if it was muted for native playback
-    if (isUsingNativePlaybackRef.current) {
-      wavesurfer.setMuted(false);
-      wavesurfer.setVolume(usePlayerStore.getState().volume);
-    }
+    // Reset native playback state
     isUsingNativePlaybackRef.current = false;
+    wavesurfer.setMuted(false);
+    wavesurfer.setVolume(usePlayerStore.getState().volume);
 
-    // CRITICAL: Force stop any current playback and cancel any pending loads
-    // This must happen BEFORE any early returns
-    debug.log('Audio URL changed to:', audioUrl);
-
-    // COMPLETELY stop and destroy the current audio
+    // Stop current playback and reset position before loading new audio.
+    // With the WebAudio backend, pause() accumulates playedDuration internally.
+    // seekTo(0) resets it so the new track starts from the beginning.
+    debug.log('Loading new audio URL:', audioUrl);
     try {
-      // First pause if playing
       if (wavesurfer.isPlaying()) {
-        debug.log('Pausing current playback');
         wavesurfer.pause();
       }
-
-      // Use empty() to completely destroy the waveform and reset media
-      debug.log('Calling wavesurfer.empty() to destroy audio');
-      wavesurfer.empty();
-    } catch (error) {
-      debug.error('Error stopping previous audio:', error);
-      // Continue anyway to load new audio
+      wavesurfer.seekTo(0);
+    } catch (err) {
+      debug.error('Error resetting before load:', err);
     }
 
-    // Reset loading state to allow new load (cancel any pending loads)
-    loadingRef.current = false;
-
-    // Now start the new load
     loadingRef.current = true;
     setIsLoading(true);
     setError(null);
     setCurrentTime(0);
     setDuration(0);
 
-    // Load new audio
-    debug.log('Starting new audio load for:', audioUrl);
     wavesurfer
       .load(audioUrl)
       .then(() => {
-        debug.log('Audio load promise resolved');
-        // Don't set loading to false here - wait for 'ready' event
+        debug.log('Audio loaded into WaveSurfer');
+        loadingRef.current = false;
       })
-      .catch((error) => {
-        debug.error('Failed to load audio:', error);
-        debug.error('Audio URL:', audioUrl);
+      .catch((err) => {
+        debug.error('Failed to load audio:', err);
         loadingRef.current = false;
         setIsLoading(false);
-        setError(`Failed to load audio: ${error instanceof Error ? error.message : String(error)}`);
+        setError(`Failed to load audio: ${err instanceof Error ? err.message : String(err)}`);
       });
-  }, [audioUrl, setCurrentTime, setDuration]);
+  }, [audioUrl, wsReady, setCurrentTime, setDuration]);
 
   // Sync play/pause state (only when user clicks play/pause button, not auto-sync)
   // This effect is kept for external state changes but should be minimal
@@ -520,7 +318,6 @@ export function AudioPlayer() {
     if (!wavesurferRef.current || duration === 0) return;
 
     if (isPlaying && wavesurferRef.current.isPlaying() === false) {
-      // Only auto-play if audio is ready
       wavesurferRef.current.play().catch((error) => {
         debug.error('Failed to play:', error);
         setIsPlaying(false);
@@ -534,14 +331,7 @@ export function AudioPlayer() {
   // Sync volume
   useEffect(() => {
     if (wavesurferRef.current) {
-      // If using native playback, keep WaveSurfer muted regardless of volume setting
-      if (isUsingNativePlaybackRef.current) {
-        wavesurferRef.current.setVolume(0);
-        debug.log('Volume sync: Using native playback, keeping WaveSurfer muted');
-      } else {
-        wavesurferRef.current.setVolume(volume);
-        debug.log('Volume synced:', volume);
-      }
+      wavesurferRef.current.setVolume(volume);
     }
   }, [volume]);
 
@@ -566,7 +356,6 @@ export function AudioPlayer() {
       return;
     }
 
-    // Reset to beginning and play
     debug.log('Restarting current audio from beginning');
     wavesurfer.seekTo(0);
     wavesurfer.play().catch((error) => {
@@ -575,34 +364,35 @@ export function AudioPlayer() {
       setError(`Playback error: ${error instanceof Error ? error.message : String(error)}`);
     });
 
-    // Clear the restart flag
     clearRestartFlag();
   }, [shouldRestart, duration, setIsPlaying, clearRestartFlag]);
 
-  // Handle shouldAutoPlay flag - for story mode auto-advance
-  const shouldAutoPlay = usePlayerStore((state) => state.shouldAutoPlay);
-  const clearAutoPlayFlag = usePlayerStore((state) => state.clearAutoPlayFlag);
+  // Auto-play is handled exclusively in the WaveSurfer 'ready' event handler.
+  // A separate effect here would race with the ready event since the WebAudio
+  // backend needs to fully decode the audio before play() works correctly.
 
+  // Spacebar to play/pause (capture phase so it fires before focused elements)
   useEffect(() => {
-    const wavesurfer = wavesurferRef.current;
-    if (!wavesurfer || !shouldAutoPlay || duration === 0) {
-      return;
-    }
-
-    // Auto-play the newly loaded audio
-    debug.log('Auto-playing next track in story mode');
-    wavesurfer.seekTo(0);
-    wavesurfer.play().catch((error) => {
-      debug.error('Failed to auto-play:', error);
-      setIsPlaying(false);
-      setError(`Playback error: ${error instanceof Error ? error.message : String(error)}`);
-    });
-
-    // Clear the auto-play flag
-    clearAutoPlayFlag();
-  }, [shouldAutoPlay, duration, setIsPlaying, clearAutoPlayFlag]);
-
-  // Handle loop - WaveSurfer handles this via the 'finish' event
+    const onKeyDown = (e: KeyboardEvent) => {
+      if (e.code !== 'Space') return;
+      // Ignore if user is typing in an input/textarea
+      const tag = (e.target as HTMLElement)?.tagName;
+      if (tag === 'INPUT' || tag === 'TEXTAREA' || (e.target as HTMLElement)?.isContentEditable) {
+        return;
+      }
+      if (audioUrl && duration > 0 && wavesurferRef.current) {
+        e.preventDefault();
+        e.stopPropagation();
+        if (wavesurferRef.current.isPlaying()) {
+          wavesurferRef.current.pause();
+        } else {
+          wavesurferRef.current.play().catch((err) => debug.error('Spacebar play failed:', err));
+        }
+      }
+    };
+    document.addEventListener('keydown', onKeyDown, true);
+    return () => document.removeEventListener('keydown', onKeyDown, true);
+  }, [audioUrl, duration]);
 
   const handlePlayPause = async () => {
     // Standard WaveSurfer playback (works for both normal and native playback modes)
@@ -741,32 +531,32 @@ export function AudioPlayer() {
             size="icon"
             onClick={handlePlayPause}
             disabled={isLoading || duration === 0}
-            className="shrink-0"
+            className={`shrink-0 -mt-2 ${isPlaying ? 'bg-accent text-accent-foreground' : ''}`}
             title={duration === 0 && !isLoading ? 'Audio not loaded' : ''}
             aria-label={
               duration === 0 && !isLoading ? 'Audio not loaded' : isPlaying ? 'Pause' : 'Play'
             }
           >
-            {isPlaying ? <Pause className="h-5 w-5" /> : <Play className="h-5 w-5" />}
+            {isPlaying ? (
+              <Pause className="h-5 w-5 fill-current" />
+            ) : (
+              <Play className="h-5 w-5 fill-current" />
+            )}
           </Button>
 
           {/* Waveform */}
           <div className="flex-1 min-w-0 flex flex-col gap-1">
-            <div ref={waveformRef} className="w-full min-h-[80px]" />
-            {duration > 0 && (
-              <Slider
-                value={duration > 0 ? [(currentTime / duration) * 100] : [0]}
-                onValueChange={handleSeek}
-                max={100}
-                step={0.1}
-                className="w-full"
-                aria-label="Playback position"
-                aria-valuetext={`${formatAudioDuration(currentTime)} of ${formatAudioDuration(duration)}`}
-              />
-            )}
-            {isLoading && (
-              <div className="text-xs text-muted-foreground text-center py-2">Loading audio...</div>
-            )}
+            <div ref={waveformRef} className="w-full min-h-[80px] select-none" />
+            <Slider
+              value={duration > 0 ? [(currentTime / duration) * 100] : [0]}
+              onValueChange={handleSeek}
+              max={100}
+              step={0.1}
+              className="w-full"
+              aria-label="Playback position"
+              aria-valuetext={`${formatAudioDuration(currentTime)} of ${formatAudioDuration(duration)}`}
+            />
+
             {error && <div className="text-xs text-destructive text-center py-2">{error}</div>}
           </div>
 
@@ -777,19 +567,12 @@ export function AudioPlayer() {
             <span className="font-mono">{formatAudioDuration(duration)}</span>
           </div>
 
-          {/* Title */}
-          {title && (
-            <div className="text-sm font-medium truncate max-w-[200px] shrink-0 hidden lg:block">
-              {title}
-            </div>
-          )}
-
           {/* Loop Button */}
           <Button
             variant="ghost"
             size="icon"
             onClick={toggleLoop}
-            className={isLooping ? 'text-primary' : ''}
+            className={isLooping ? 'bg-accent text-accent-foreground' : ''}
             title="Toggle loop"
             aria-label={isLooping ? 'Stop looping' : 'Loop'}
           >

app/src/components/EffectsTab/EffectsTab.tsx

@@ -1,20 +1,20 @@
-import {EffectsDetail} from "./EffectsDetail";
-import {EffectsList} from "./EffectsList";
+import { EffectsDetail } from './EffectsDetail';
+import { EffectsList } from './EffectsList';
 
 export function EffectsTab() {
-	return (
-		<div className="flex flex-col h-full min-h-0 overflow-hidden">
-			<div className="flex-1 min-h-0 flex gap-6 overflow-hidden">
-				{/* Left - Presets list */}
-				<div className="w-full max-w-[360px] shrink-0 flex flex-col min-h-0">
-					<EffectsList />
-				</div>
+  return (
+    <div className="flex flex-col h-full min-h-0 overflow-hidden">
+      <div className="flex-1 min-h-0 flex gap-6 overflow-hidden">
+        {/* Left - Presets list */}
+        <div className="w-full max-w-[360px] shrink-0 flex flex-col min-h-0">
+          <EffectsList />
+        </div>
 
-				{/* Right - Detail / editor */}
-				<div className="flex-1 min-h-0 flex flex-col">
-					<EffectsDetail />
-				</div>
-			</div>
-		</div>
-	);
+        {/* Right - Detail / editor */}
+        <div className="flex-1 min-h-0 flex flex-col">
+          <EffectsDetail />
+        </div>
+      </div>
+    </div>
+  );
 }

app/src/components/Generation/EngineModelSelector.tsx

@@ -1,3 +1,4 @@
+import { useEffect } from 'react';
 import type { UseFormReturn } from 'react-hook-form';
 import { FormControl } from '@/components/ui/form';
 import {
@@ -7,6 +8,7 @@ import {
   SelectTrigger,
   SelectValue,
 } from '@/components/ui/select';
+import type { VoiceProfileResponse } from '@/lib/api/types';
 import { getLanguageOptionsForEngine } from '@/lib/constants/languages';
 import type { GenerationFormValues } from '@/lib/hooks/useGenerationForm';
 
@@ -15,30 +17,57 @@ import type { GenerationFormValues } from '@/lib/hooks/useGenerationForm';
  * Adding a new engine means adding one entry here.
  */
 const ENGINE_OPTIONS = [
-  { value: 'qwen:1.7B', label: 'Qwen3-TTS 1.7B' },
-  { value: 'qwen:0.6B', label: 'Qwen3-TTS 0.6B' },
-  { value: 'luxtts', label: 'LuxTTS' },
-  { value: 'chatterbox', label: 'Chatterbox' },
-  { value: 'chatterbox_turbo', label: 'Chatterbox Turbo' },
+  { value: 'qwen:1.7B', label: 'Qwen3-TTS 1.7B', engine: 'qwen' },
+  { value: 'qwen:0.6B', label: 'Qwen3-TTS 0.6B', engine: 'qwen' },
+  { value: 'qwen_custom_voice:1.7B', label: 'Qwen CustomVoice 1.7B', engine: 'qwen_custom_voice' },
+  { value: 'qwen_custom_voice:0.6B', label: 'Qwen CustomVoice 0.6B', engine: 'qwen_custom_voice' },
+  { value: 'luxtts', label: 'LuxTTS', engine: 'luxtts' },
+  { value: 'chatterbox', label: 'Chatterbox', engine: 'chatterbox' },
+  { value: 'chatterbox_turbo', label: 'Chatterbox Turbo', engine: 'chatterbox_turbo' },
+  { value: 'tada:1B', label: 'TADA 1B', engine: 'tada' },
+  { value: 'tada:3B', label: 'TADA 3B Multilingual', engine: 'tada' },
+  { value: 'kokoro', label: 'Kokoro 82M', engine: 'kokoro' },
 ] as const;
 
 const ENGINE_DESCRIPTIONS: Record<string, string> = {
   qwen: 'Multi-language, two sizes',
+  qwen_custom_voice: '9 preset voices, instruct control',
   luxtts: 'Fast, English-focused',
   chatterbox: '23 languages, incl. Hebrew',
   chatterbox_turbo: 'English, [laugh] [cough] tags',
+  tada: 'HumeAI, 700s+ coherent audio',
+  kokoro: '82M params, CPU realtime, 8 langs',
 };
 
 /** Engines that only support English and should force language to 'en' on select. */
 const ENGLISH_ONLY_ENGINES = new Set(['luxtts', 'chatterbox_turbo']);
 
+/** Engines that support cloned (reference audio) profiles. */
+const CLONING_ENGINES = new Set(['qwen', 'luxtts', 'chatterbox', 'chatterbox_turbo', 'tada']);
+
+function getAvailableOptions(selectedProfile?: VoiceProfileResponse | null) {
+  if (!selectedProfile) return ENGINE_OPTIONS;
+  return ENGINE_OPTIONS.filter((opt) => isProfileCompatibleWithEngine(selectedProfile, opt.engine));
+}
+
 function getSelectValue(engine: string, modelSize?: string): string {
   if (engine === 'qwen') return `qwen:${modelSize || '1.7B'}`;
+  if (engine === 'qwen_custom_voice') return `qwen_custom_voice:${modelSize || '1.7B'}`;
+  if (engine === 'tada') return `tada:${modelSize || '1B'}`;
   return engine;
 }
 
-function handleEngineChange(form: UseFormReturn<GenerationFormValues>, value: string) {
-  if (value.startsWith('qwen:')) {
+export function applyEngineSelection(form: UseFormReturn<GenerationFormValues>, value: string) {
+  if (value.startsWith('qwen_custom_voice:')) {
+    const [, modelSize] = value.split(':');
+    form.setValue('engine', 'qwen_custom_voice');
+    form.setValue('modelSize', modelSize as '1.7B' | '0.6B');
+    const currentLang = form.getValues('language');
+    const available = getLanguageOptionsForEngine('qwen_custom_voice');
+    if (!available.some((l) => l.value === currentLang)) {
+      form.setValue('language', available[0]?.value ?? 'en');
+    }
+  } else if (value.startsWith('qwen:')) {
     const [, modelSize] = value.split(':');
     form.setValue('engine', 'qwen');
     form.setValue('modelSize', modelSize as '1.7B' | '0.6B');
@@ -48,6 +77,20 @@ function handleEngineChange(form: UseFormReturn<GenerationFormValues>, value: st
     if (!available.some((l) => l.value === currentLang)) {
       form.setValue('language', available[0]?.value ?? 'en');
     }
+  } else if (value.startsWith('tada:')) {
+    const [, modelSize] = value.split(':');
+    form.setValue('engine', 'tada');
+    form.setValue('modelSize', modelSize as '1B' | '3B');
+    // TADA 1B is English-only; 3B is multilingual
+    if (modelSize === '1B') {
+      form.setValue('language', 'en');
+    } else {
+      const currentLang = form.getValues('language');
+      const available = getLanguageOptionsForEngine('tada');
+      if (!available.some((l) => l.value === currentLang)) {
+        form.setValue('language', available[0]?.value ?? 'en');
+      }
+    }
   } else {
     form.setValue('engine', value as GenerationFormValues['engine']);
     form.setValue('modelSize', undefined as unknown as '1.7B' | '0.6B');
@@ -67,12 +110,22 @@ function handleEngineChange(form: UseFormReturn<GenerationFormValues>, value: st
 interface EngineModelSelectorProps {
   form: UseFormReturn<GenerationFormValues>;
   compact?: boolean;
+  selectedProfile?: VoiceProfileResponse | null;
 }
 
-export function EngineModelSelector({ form, compact }: EngineModelSelectorProps) {
+export function EngineModelSelector({ form, compact, selectedProfile }: EngineModelSelectorProps) {
   const engine = form.watch('engine') || 'qwen';
   const modelSize = form.watch('modelSize');
   const selectValue = getSelectValue(engine, modelSize);
+  const availableOptions = getAvailableOptions(selectedProfile);
+
+  const currentEngineAvailable = availableOptions.some((opt) => opt.value === selectValue);
+
+  useEffect(() => {
+    if (!currentEngineAvailable && availableOptions.length > 0) {
+      applyEngineSelection(form, availableOptions[0].value);
+    }
+  }, [availableOptions, currentEngineAvailable, form]);
 
   const itemClass = compact ? 'text-xs text-muted-foreground' : undefined;
   const triggerClass = compact
@@ -80,14 +133,14 @@ export function EngineModelSelector({ form, compact }: EngineModelSelectorProps)
     : undefined;
 
   return (
-    <Select value={selectValue} onValueChange={(v) => handleEngineChange(form, v)}>
+    <Select value={selectValue} onValueChange={(v) => applyEngineSelection(form, v)}>
       <FormControl>
         <SelectTrigger className={triggerClass}>
           <SelectValue />
         </SelectTrigger>
       </FormControl>
       <SelectContent>
-        {ENGINE_OPTIONS.map((opt) => (
+        {availableOptions.map((opt) => (
           <SelectItem key={opt.value} value={opt.value} className={itemClass}>
             {opt.label}
           </SelectItem>
@@ -101,3 +154,17 @@ export function EngineModelSelector({ form, compact }: EngineModelSelectorProps)
 export function getEngineDescription(engine: string): string {
   return ENGINE_DESCRIPTIONS[engine] ?? '';
 }
+
+/**
+ * Check if a profile is compatible with the currently selected engine.
+ * Useful for UI hints.
+ */
+export function isProfileCompatibleWithEngine(
+  profile: VoiceProfileResponse,
+  engine: string,
+): boolean {
+  const voiceType = profile.voice_type || 'cloned';
+  if (voiceType === 'preset') return profile.preset_engine === engine;
+  if (voiceType === 'cloned') return CLONING_ENGINES.has(engine);
+  return true; // designed — future
+}

app/src/components/Generation/FloatingGenerateBox.tsx

@@ -1,7 +1,7 @@
 import { useQuery } from '@tanstack/react-query';
 import { useMatchRoute } from '@tanstack/react-router';
 import { AnimatePresence, motion } from 'framer-motion';
-import { Loader2, Sparkles } from 'lucide-react';
+import { Loader2, SlidersHorizontal, Sparkles } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
 import { Button } from '@/components/ui/button';
 import { Form, FormControl, FormField, FormItem, FormMessage } from '@/components/ui/form';
@@ -36,9 +36,11 @@ export function FloatingGenerateBox({
 }: FloatingGenerateBoxProps) {
   const selectedProfileId = useUIStore((state) => state.selectedProfileId);
   const setSelectedProfileId = useUIStore((state) => state.setSelectedProfileId);
+  const setSelectedEngine = useUIStore((state) => state.setSelectedEngine);
   const { data: selectedProfile } = useProfile(selectedProfileId || '');
   const { data: profiles } = useProfiles();
   const [isExpanded, setIsExpanded] = useState(false);
+  const [isInstructExpanded, setIsInstructExpanded] = useState(false);
   const [selectedPresetId, setSelectedPresetId] = useState<string | null>(null);
   const containerRef = useRef<HTMLDivElement>(null);
   const textareaRef = useRef<HTMLTextAreaElement | null>(null);
@@ -67,7 +69,12 @@ export function FloatingGenerateBox({
       }
     },
     getEffectsChain: () => {
-      if (!selectedPresetId || !effectPresets) return undefined;
+      if (!selectedPresetId) return undefined;
+      // Profile's own effects chain (no matching preset)
+      if (selectedPresetId === '_profile') {
+        return selectedProfile?.effects_chain ?? undefined;
+      }
+      if (!effectPresets) return undefined;
       const preset = effectPresets.find((p) => p.id === selectedPresetId);
       return preset?.effects_chain;
     },
@@ -110,12 +117,63 @@ export function FloatingGenerateBox({
     }
   }, [selectedProfileId, profiles, setSelectedProfileId]);
 
-  // Sync generation form language with selected profile's language
+  // Sync engine selection to global store so ProfileList can filter
+  const watchedEngine = form.watch('engine');
+  useEffect(() => {
+    if (watchedEngine) {
+      setSelectedEngine(watchedEngine);
+    }
+  }, [watchedEngine, setSelectedEngine]);
+
+  // Sync generation form language, engine, and effects with selected profile
+  type EngineValue =
+    | 'qwen'
+    | 'luxtts'
+    | 'chatterbox'
+    | 'chatterbox_turbo'
+    | 'tada'
+    | 'kokoro'
+    | 'qwen_custom_voice';
   useEffect(() => {
     if (selectedProfile?.language) {
       form.setValue('language', selectedProfile.language as LanguageCode);
     }
-  }, [selectedProfile, form]);
+    // Auto-switch engine to match the profile
+    const engine = selectedProfile?.default_engine ?? selectedProfile?.preset_engine;
+    if (engine) {
+      form.setValue('engine', engine as EngineValue);
+    } else if (selectedProfile && selectedProfile.voice_type !== 'preset') {
+      // Cloned/designed profile with no default — ensure a compatible (non-preset) engine
+      const currentEngine = form.getValues('engine');
+      const presetEngines = new Set(['kokoro', 'qwen_custom_voice']);
+      if (presetEngines.has(currentEngine)) {
+        form.setValue('engine', 'qwen');
+      }
+    }
+    // Pre-fill effects from profile defaults
+    if (
+      selectedProfile?.effects_chain &&
+      selectedProfile.effects_chain.length > 0 &&
+      effectPresets
+    ) {
+      // Try to match against a known preset
+      const profileChainJson = JSON.stringify(selectedProfile.effects_chain);
+      const matchingPreset = effectPresets.find(
+        (p) => JSON.stringify(p.effects_chain) === profileChainJson,
+      );
+      if (matchingPreset) {
+        setSelectedPresetId(matchingPreset.id);
+      } else {
+        // No matching preset — use special value to pass profile chain directly
+        setSelectedPresetId('_profile');
+      }
+    } else if (
+      selectedProfile &&
+      (!selectedProfile.effects_chain || selectedProfile.effects_chain.length === 0)
+    ) {
+      setSelectedPresetId(null);
+    }
+  }, [selectedProfile, effectPresets, form]);
 
   // Auto-resize textarea based on content (only when expanded)
   useEffect(() => {
@@ -296,9 +354,80 @@ export function FloatingGenerateBox({
                         : 'Generate speech'}
                   </span>
                 </div>
+
+                {/* Instruct toggle — only for Qwen CustomVoice, which actually honors the kwarg */}
+                <AnimatePresence>
+                  {isExpanded && form.watch('engine') === 'qwen_custom_voice' && (
+                    <motion.div
+                      initial={{ opacity: 0, scale: 0.8 }}
+                      animate={{ opacity: 1, scale: 1 }}
+                      exit={{ opacity: 0, scale: 0.8 }}
+                      transition={{ duration: 0.2 }}
+                      className="absolute top-0 right-[calc(100%+0.5rem)]"
+                    >
+                      <div className="group relative">
+                        <Button
+                          type="button"
+                          variant="ghost"
+                          size="icon"
+                          onClick={() => setIsInstructExpanded((prev) => !prev)}
+                          className={cn(
+                            'h-10 w-10 rounded-full transition-all duration-200',
+                            isInstructExpanded
+                              ? 'bg-accent text-accent-foreground border border-accent hover:bg-accent/90'
+                              : 'bg-card border border-border hover:bg-background/50',
+                          )}
+                          aria-label={
+                            isInstructExpanded
+                              ? 'Hide delivery instructions'
+                              : 'Show delivery instructions'
+                          }
+                          aria-pressed={isInstructExpanded}
+                        >
+                          <SlidersHorizontal className="h-4 w-4" />
+                        </Button>
+                        <span className="pointer-events-none absolute bottom-full left-1/2 -translate-x-1/2 mb-2 whitespace-nowrap rounded-md bg-popover px-3 py-1.5 text-xs text-popover-foreground border border-border opacity-0 transition-opacity group-hover:opacity-100 z-[9999]">
+                          Delivery instructions (tone, emotion, pace)
+                        </span>
+                      </div>
+                    </motion.div>
+                  )}
+                </AnimatePresence>
               </div>
             </div>
 
+            {/* Additive instruct textarea — shown below main text when toggle is on and engine supports it */}
+            <AnimatePresence>
+              {isInstructExpanded && form.watch('engine') === 'qwen_custom_voice' && (
+                <motion.div
+                  initial={{ opacity: 0, height: 0 }}
+                  animate={{ opacity: 1, height: 'auto' }}
+                  exit={{ opacity: 0, height: 0 }}
+                  transition={{ duration: 0.2, ease: 'easeOut' }}
+                  className="overflow-hidden"
+                >
+                  <FormField
+                    control={form.control}
+                    name="instruct"
+                    render={({ field }) => (
+                      <FormItem className="mt-2">
+                        <FormControl>
+                          <Textarea
+                            {...field}
+                            placeholder="Delivery instructions — e.g. Speak slowly with warmth, Authoritative and clear..."
+                            className="resize-none bg-transparent border border-accent/20 focus-visible:ring-1 focus-visible:ring-accent/40 rounded-2xl text-sm placeholder:text-muted-foreground/60 w-full px-3 py-2"
+                            style={{ minHeight: '60px', maxHeight: '160px' }}
+                            maxLength={500}
+                          />
+                        </FormControl>
+                        <FormMessage className="text-xs" />
+                      </FormItem>
+                    )}
+                  />
+                </motion.div>
+              )}
+            </AnimatePresence>
+
             <AnimatePresence>
               <motion.div
                 initial={{ height: 0, opacity: 0 }}
@@ -375,6 +504,12 @@ export function FloatingGenerateBox({
                         <SelectItem value="none" className="text-xs">
                           No effects
                         </SelectItem>
+                        {selectedProfile?.effects_chain &&
+                          selectedProfile.effects_chain.length > 0 && (
+                            <SelectItem value="_profile" className="text-xs">
+                              Profile default
+                            </SelectItem>
+                          )}
                         {effectPresets?.map((preset) => (
                           <SelectItem key={preset.id} value={preset.id} className="text-xs">
                             {preset.name}

app/src/components/Generation/GenerationForm.tsx

@@ -1,4 +1,5 @@
 import { Loader2, Mic } from 'lucide-react';
+import { useEffect } from 'react';
 import { Button } from '@/components/ui/button';
 import { Card, CardContent, CardHeader, CardTitle } from '@/components/ui/card';
 import {
@@ -19,19 +20,45 @@ import {
   SelectValue,
 } from '@/components/ui/select';
 import { Textarea } from '@/components/ui/textarea';
-import { getLanguageOptionsForEngine } from '@/lib/constants/languages';
+import { getLanguageOptionsForEngine, type LanguageCode } from '@/lib/constants/languages';
 import { useGenerationForm } from '@/lib/hooks/useGenerationForm';
 import { useProfile } from '@/lib/hooks/useProfiles';
 import { useUIStore } from '@/stores/uiStore';
-import { EngineModelSelector, getEngineDescription } from './EngineModelSelector';
+import {
+  applyEngineSelection,
+  EngineModelSelector,
+  getEngineDescription,
+} from './EngineModelSelector';
 import { ParalinguisticInput } from './ParalinguisticInput';
 
+function getEngineSelectValue(engine: string): string {
+  if (engine === 'qwen') return 'qwen:1.7B';
+  if (engine === 'qwen_custom_voice') return 'qwen_custom_voice:1.7B';
+  if (engine === 'tada') return 'tada:1B';
+  return engine;
+}
+
 export function GenerationForm() {
   const selectedProfileId = useUIStore((state) => state.selectedProfileId);
   const { data: selectedProfile } = useProfile(selectedProfileId || '');
 
   const { form, handleSubmit, isPending } = useGenerationForm();
 
+  useEffect(() => {
+    if (!selectedProfile) {
+      return;
+    }
+
+    if (selectedProfile.language) {
+      form.setValue('language', selectedProfile.language as LanguageCode);
+    }
+
+    const preferredEngine = selectedProfile.default_engine || selectedProfile.preset_engine;
+    if (preferredEngine) {
+      applyEngineSelection(form, getEngineSelectValue(preferredEngine));
+    }
+  }, [form, selectedProfile]);
+
   async function onSubmit(data: Parameters<typeof handleSubmit>[0]) {
     await handleSubmit(data, selectedProfileId);
   }
@@ -91,7 +118,7 @@ export function GenerationForm() {
               )}
             />
 
-            {form.watch('engine') === 'qwen' && (
+            {form.watch('engine') === 'qwen_custom_voice' && (
               <FormField
                 control={form.control}
                 name="instruct"
@@ -118,7 +145,7 @@ export function GenerationForm() {
             <div className="grid gap-4 md:grid-cols-3">
               <FormItem>
                 <FormLabel>Model</FormLabel>
-                <EngineModelSelector form={form} />
+                <EngineModelSelector form={form} selectedProfile={selectedProfile} />
                 <FormDescription>
                   {getEngineDescription(form.watch('engine') || 'qwen')}
                 </FormDescription>

app/src/components/History/HistoryTable.tsx

@@ -15,7 +15,7 @@ import {
   Wand2,
 } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
-import Loader from 'react-loaders';
+
 import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
 import { Button } from '@/components/ui/button';
 import {
@@ -45,6 +45,7 @@ import { apiClient } from '@/lib/api/client';
 import type { EffectConfig, GenerationVersionResponse, HistoryResponse } from '@/lib/api/types';
 import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
 import {
+  useClearFailedGenerations,
   useDeleteGeneration,
   useExportGeneration,
   useExportGenerationAudio,
@@ -56,8 +57,35 @@ import { formatDate, formatDuration, formatEngineName } from '@/lib/utils/format
 import { useGenerationStore } from '@/stores/generationStore';
 import { usePlayerStore } from '@/stores/playerStore';
 
-// OLD TABLE-BASED COMPONENT - REMOVED (can be found in git history)
-// This is the new alternate history view with fixed height rows
+// ─── Audio Bars ─────────────────────────────────────────────────────────────
+
+function AudioBars({ mode }: { mode: 'idle' | 'generating' | 'playing' }) {
+  const barColor = mode !== 'idle' ? 'bg-accent' : 'bg-muted-foreground/40';
+  return (
+    <div className="flex items-center gap-[2px] h-5">
+      {[0, 1, 2, 3, 4].map((i) => (
+        <motion.div
+          key={`${mode}-${i}`}
+          className={`w-[3px] rounded-full ${barColor}`}
+          animate={
+            mode === 'generating'
+              ? { height: ['6px', '16px', '6px'] }
+              : mode === 'playing'
+                ? { height: ['8px', '14px', '4px', '12px', '8px'] }
+                : { height: '8px' }
+          }
+          transition={
+            mode === 'generating'
+              ? { duration: 0.6, repeat: Infinity, delay: i * 0.08, ease: 'easeInOut' }
+              : mode === 'playing'
+                ? { duration: 1.2, repeat: Infinity, delay: i * 0.15, ease: 'easeInOut' }
+                : { duration: 0.4, ease: 'easeOut' }
+          }
+        />
+      ))}
+    </div>
+  );
+}
 
 // NEW ALTERNATE HISTORY VIEW - FIXED HEIGHT ROWS WITH INFINITE SCROLL
 export function HistoryTable() {
@@ -97,6 +125,8 @@ export function HistoryTable() {
   });
 
   const deleteGeneration = useDeleteGeneration();
+  const clearFailed = useClearFailedGenerations();
+  const [clearFailedDialogOpen, setClearFailedDialogOpen] = useState(false);
   const exportGeneration = useExportGeneration();
   const exportGenerationAudio = useExportGenerationAudio();
   const importGeneration = useImportGeneration();
@@ -126,13 +156,28 @@ export function HistoryTable() {
     }
   }, [historyData, page]);
 
-  // Reset to page 0 when deletions or imports occur
+  // Reset to page 0 when deletions, imports, or generation completions occur
+  const pendingCount = useGenerationStore((state) => state.pendingGenerationIds.size);
+  const prevPendingCountRef = useRef(pendingCount);
   useEffect(() => {
-    if (deleteGeneration.isSuccess || importGeneration.isSuccess) {
+    if (deleteGeneration.isSuccess || importGeneration.isSuccess || clearFailed.isSuccess) {
       setPage(0);
       setAllHistory([]);
     }
-  }, [deleteGeneration.isSuccess, importGeneration.isSuccess]);
+  }, [deleteGeneration.isSuccess, importGeneration.isSuccess, clearFailed.isSuccess]);
+
+  useEffect(() => {
+    // A generation finished (pending count decreased) — scroll back to show it
+    if (
+      prevPendingCountRef.current > 0 &&
+      pendingCount < prevPendingCountRef.current &&
+      page !== 0
+    ) {
+      setPage(0);
+      setAllHistory([]);
+    }
+    prevPendingCountRef.current = pendingCount;
+  }, [pendingCount, page]);
 
   // Intersection Observer for infinite scroll
   useEffect(() => {
@@ -373,6 +418,27 @@ export function HistoryTable() {
 
   const history = allHistory;
   const hasMore = allHistory.length < total;
+  const failedCount = history.filter((g) => g.status === 'failed').length;
+
+  const handleClearFailedConfirm = () => {
+    clearFailed.mutate(undefined, {
+      onSuccess: (data) => {
+        setClearFailedDialogOpen(false);
+        toast({
+          title: 'Cleared failed generations',
+          description: `${data.deleted} failed ${data.deleted === 1 ? 'generation' : 'generations'} removed.`,
+        });
+      },
+      onError: (error) => {
+        setClearFailedDialogOpen(false);
+        toast({
+          title: 'Failed to clear',
+          description: error instanceof Error ? error.message : 'Unknown error',
+          variant: 'destructive',
+        });
+      },
+    });
+  };
 
   return (
     <div className="flex flex-col h-full min-h-0 relative">
@@ -382,6 +448,23 @@ export function HistoryTable() {
         </div>
       ) : (
         <>
+          {failedCount > 0 && (
+            <div className="flex items-center justify-between px-1 pb-2">
+              <span className="text-xs text-muted-foreground">
+                {failedCount} failed {failedCount === 1 ? 'generation' : 'generations'}
+              </span>
+              <Button
+                variant="ghost"
+                size="sm"
+                className="h-7 text-xs text-muted-foreground hover:text-destructive"
+                onClick={() => setClearFailedDialogOpen(true)}
+                disabled={clearFailed.isPending}
+              >
+                <Trash2 className="h-3 w-3 mr-1.5" />
+                {clearFailed.isPending ? 'Clearing...' : 'Clear failed'}
+              </Button>
+            </div>
+          )}
           {isScrolled && (
             <div className="absolute top-0 left-0 right-0 h-16 bg-gradient-to-b from-background to-transparent z-10 pointer-events-none" />
           )}
@@ -413,7 +496,7 @@ export function HistoryTable() {
                     role={isPlayable ? 'button' : undefined}
                     tabIndex={isPlayable ? 0 : undefined}
                     className={cn(
-                      'flex items-stretch gap-4 h-26 p-3',
+                      'flex items-stretch gap-4 h-26 p-3 outline-none',
                       isPlayable && 'hover:bg-muted/70 cursor-pointer rounded-md',
                       isVersionsExpanded && 'rounded-b-none',
                     )}
@@ -446,12 +529,9 @@ export function HistoryTable() {
                   >
                     {/* Status icon */}
                     <div className="flex items-center shrink-0 w-10 justify-center overflow-hidden">
-                      <div className="scale-50">
-                        <Loader
-                          type={isGenerating ? 'line-scale' : 'line-scale-pulse-out-rapid'}
-                          active={isGenerating || isCurrentlyPlaying}
-                        />
-                      </div>
+                      <AudioBars
+                        mode={isGenerating ? 'generating' : isCurrentlyPlaying ? 'playing' : 'idle'}
+                      />
                     </div>
 
                     {/* Left side - Meta information */}
@@ -530,15 +610,27 @@ export function HistoryTable() {
                       )}
 
                       {isFailed ? (
-                        <Button
-                          variant="ghost"
-                          size="icon"
-                          className="h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground"
-                          aria-label="Retry generation"
-                          onClick={() => handleRetry(gen.id)}
-                        >
-                          <RotateCcw className="h-2 w-2" />
-                        </Button>
+                        <>
+                          <Button
+                            variant="ghost"
+                            size="icon"
+                            className="h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground"
+                            aria-label="Retry generation"
+                            onClick={() => handleRetry(gen.id)}
+                          >
+                            <RotateCcw className="h-2 w-2" />
+                          </Button>
+                          <Button
+                            variant="ghost"
+                            size="icon"
+                            className="h-6 w-6 text-muted-foreground/50 hover:bg-muted-foreground/20 hover:text-muted-foreground"
+                            aria-label="Delete generation"
+                            disabled={deleteGeneration.isPending}
+                            onClick={() => handleDeleteClick(gen.id, gen.profile_name)}
+                          >
+                            <Trash2 className="h-2 w-2" />
+                          </Button>
+                        </>
                       ) : (
                         <>
                           <DropdownMenu>
@@ -708,6 +800,31 @@ export function HistoryTable() {
         </DialogContent>
       </Dialog>
 
+      <Dialog open={clearFailedDialogOpen} onOpenChange={setClearFailedDialogOpen}>
+        <DialogContent>
+          <DialogHeader>
+            <DialogTitle>Clear failed generations</DialogTitle>
+            <DialogDescription>
+              This will permanently delete {failedCount} failed{' '}
+              {failedCount === 1 ? 'generation' : 'generations'} from your history. This cannot be
+              undone.
+            </DialogDescription>
+          </DialogHeader>
+          <DialogFooter>
+            <Button variant="outline" onClick={() => setClearFailedDialogOpen(false)}>
+              Cancel
+            </Button>
+            <Button
+              variant="destructive"
+              onClick={handleClearFailedConfirm}
+              disabled={clearFailed.isPending}
+            >
+              {clearFailed.isPending ? 'Clearing...' : 'Clear all'}
+            </Button>
+          </DialogFooter>
+        </DialogContent>
+      </Dialog>
+
       <Dialog open={importDialogOpen} onOpenChange={setImportDialogOpen}>
         <DialogContent>
           <DialogHeader>

app/src/components/ServerSettings/GpuAcceleration.tsx

@@ -243,7 +243,40 @@ export function GpuAcceleration() {
 
         {/* Native GPU detected - no CUDA download needed */}
 
-        {/* CUDA download section - only show when no GPU is active (native or CUDA) */}
+        {/* Currently running CUDA - show switch back to CPU */}
+        {isCurrentlyCuda && platform.metadata.isTauri && (
+          <>
+            {restartPhase !== 'idle' ? (
+              <div className="flex items-center gap-2 p-3 rounded-lg bg-primary/5 border">
+                <Loader2 className="h-4 w-4 animate-spin" />
+                <span className="text-sm">
+                  {restartPhase === 'stopping' && 'Stopping server...'}
+                  {restartPhase === 'waiting' && 'Restarting server...'}
+                  {restartPhase === 'ready' && 'Server restarted successfully!'}
+                </span>
+              </div>
+            ) : (
+              <div className="space-y-3">
+                <p className="text-sm text-muted-foreground">
+                  Running with CUDA GPU acceleration. Switch back to CPU if needed (you can
+                  re-download later).
+                </p>
+                <Button onClick={handleSwitchToCpu} variant="outline" className="w-full" size="sm">
+                  <RotateCw className="h-4 w-4 mr-2" />
+                  Switch to CPU Backend
+                </Button>
+              </div>
+            )}
+            {error && (
+              <div className="flex items-center gap-2 text-sm text-destructive">
+                <AlertCircle className="h-4 w-4 shrink-0" />
+                <span>{error}</span>
+              </div>
+            )}
+          </>
+        )}
+
+        {/* CUDA download/manage section - show when no native GPU and not currently running CUDA */}
         {!hasNativeGpu && !isCurrentlyCuda && (
           <>
             {/* Download progress (manual download or auto-update) */}
@@ -315,7 +348,7 @@ export function GpuAcceleration() {
                 )}
 
                 {/* Downloaded but not active - show switch button */}
-                {cudaAvailable && !isCurrentlyCuda && platform.metadata.isTauri && (
+                {cudaAvailable && platform.metadata.isTauri && (
                   <div className="space-y-3">
                     <p className="text-sm text-muted-foreground">
                       CUDA backend is downloaded and ready. Restart the server to enable GPU
@@ -328,27 +361,8 @@ export function GpuAcceleration() {
                   </div>
                 )}
 
-                {/* Currently active - show switch back to CPU */}
-                {isCurrentlyCuda && platform.metadata.isTauri && (
-                  <div className="space-y-3">
-                    <p className="text-sm text-muted-foreground">
-                      Running with CUDA GPU acceleration. Switch back to CPU if needed (you can
-                      re-download later).
-                    </p>
-                    <Button
-                      onClick={handleSwitchToCpu}
-                      variant="outline"
-                      className="w-full"
-                      size="sm"
-                    >
-                      <RotateCw className="h-4 w-4 mr-2" />
-                      Switch to CPU Backend
-                    </Button>
-                  </div>
-                )}
-
                 {/* Delete option when downloaded (and not active) */}
-                {cudaAvailable && !isCurrentlyCuda && (
+                {cudaAvailable && (
                   <Button
                     onClick={handleDelete}
                     variant="ghost"

app/src/components/ServerSettings/ModelManagement.tsx

@@ -62,6 +62,16 @@ const MODEL_DESCRIPTIONS: Record<string, string> = {
     'Production-grade open source TTS by Resemble AI. Supports 23 languages with voice cloning and emotion exaggeration control.',
   'chatterbox-turbo':
     'Streamlined 350M parameter TTS by Resemble AI. High-quality English speech with less compute and VRAM than larger models.',
+  'tada-1b':
+    'HumeAI TADA 1B — English speech-language model built on Llama 3.2 1B. Generates 700s+ of coherent audio with synchronized text-acoustic alignment.',
+  'tada-3b-ml':
+    'HumeAI TADA 3B Multilingual — built on Llama 3.2 3B. Supports 10 languages with high-fidelity voice cloning via text-acoustic dual alignment.',
+  kokoro:
+    'Kokoro 82M by hexgrad. Tiny 82M-parameter TTS that runs at CPU realtime. Supports 8 languages with pre-built voice styles. Apache 2.0 licensed.',
+  'qwen-custom-voice-1.7B':
+    'Qwen3-TTS CustomVoice 1.7B by Alibaba. 9 premium preset voices with instruct-based style control for tone, emotion, and prosody. Supports 10 languages.',
+  'qwen-custom-voice-0.6B':
+    'Qwen3-TTS CustomVoice 0.6B by Alibaba. Lightweight version with the same 9 preset voices and instruct control. Faster inference for lower-end hardware.',
   'whisper-base':
     'Smallest Whisper model (74M parameters). Fast transcription with moderate accuracy.',
   'whisper-small':
@@ -390,8 +400,11 @@ export function ModelManagement() {
     modelStatus?.models.filter(
       (m) =>
         m.model_name.startsWith('qwen-tts') ||
+        m.model_name.startsWith('qwen-custom-voice') ||
         m.model_name.startsWith('luxtts') ||
-        m.model_name.startsWith('chatterbox'),
+        m.model_name.startsWith('chatterbox') ||
+        m.model_name.startsWith('tada') ||
+        m.model_name.startsWith('kokoro'),
     ) ?? [];
   const whisperModels = modelStatus?.models.filter((m) => m.model_name.startsWith('whisper')) ?? [];
 

app/src/components/ServerSettings/ModelProgress.tsx

@@ -12,7 +12,11 @@ interface ModelProgressProps {
   isDownloading?: boolean;
 }
 
-export function ModelProgress({ modelName, displayName, isDownloading = false }: ModelProgressProps) {
+export function ModelProgress({
+  modelName,
+  displayName,
+  isDownloading = false,
+}: ModelProgressProps) {
   const [progress, setProgress] = useState<ModelProgressType | null>(null);
   const serverUrl = useServerStore((state) => state.serverUrl);
 

app/src/components/ServerTab/AboutPage.tsx

@@ -0,0 +1,135 @@
+import { ArrowUpRight } from 'lucide-react';
+import type { CSSProperties, ReactNode } from 'react';
+import { useEffect, useState } from 'react';
+import voiceboxLogo from '@/assets/voicebox-logo.png';
+import { usePlatform } from '@/platform/PlatformContext';
+
+function FadeIn({ delay = 0, children }: { delay?: number; children: ReactNode }) {
+  return (
+    <div
+      className="animate-[fadeInUp_0.5s_ease_both]"
+      style={{ animationDelay: `${delay}ms` } as CSSProperties}
+    >
+      {children}
+    </div>
+  );
+}
+
+export function AboutPage() {
+  const platform = usePlatform();
+  const [version, setVersion] = useState('');
+
+  useEffect(() => {
+    platform.metadata
+      .getVersion()
+      .then(setVersion)
+      .catch(() => setVersion(''));
+  }, [platform]);
+
+  return (
+    <>
+      <style>{`
+        @keyframes fadeInUp {
+          from {
+            opacity: 0;
+            transform: translateY(8px);
+          }
+          to {
+            opacity: 1;
+            transform: translateY(0);
+          }
+        }
+      `}</style>
+      <div className="max-w-md mx-auto h-full flex items-center">
+        <div className="flex flex-col items-center text-center space-y-5">
+          <FadeIn delay={0}>
+            <img src={voiceboxLogo} alt="Voicebox" className="w-20 h-20 object-contain" />
+          </FadeIn>
+
+          <FadeIn delay={80}>
+            <div className="space-y-1.5">
+              <h1 className="text-lg font-semibold">Voicebox</h1>
+              <p className="text-xs text-muted-foreground/60 h-4">
+                {version ? `v${version}` : '\u00A0'}
+              </p>
+            </div>
+          </FadeIn>
+
+          <FadeIn delay={160}>
+            <p className="text-sm text-muted-foreground leading-relaxed max-w-sm">
+              The open-source voice synthesis studio. Clone voices, generate speech, apply effects,
+              and build voice-powered apps — all running locally on your machine.
+            </p>
+          </FadeIn>
+
+          <FadeIn delay={240}>
+            <div className="flex items-center gap-1.5 text-sm text-muted-foreground">
+              <span>Created by</span>
+              <a
+                href="https://github.com/jamiepine"
+                target="_blank"
+                rel="noopener noreferrer"
+                className="text-accent hover:underline"
+              >
+                Jamie Pine
+              </a>
+            </div>
+          </FadeIn>
+
+          <FadeIn delay={320}>
+            <div className="flex flex-wrap justify-center gap-3 pt-2">
+              <a
+                href="https://buymeacoffee.com/jamiepine"
+                target="_blank"
+                rel="noopener noreferrer"
+                className="group inline-flex items-center gap-2 rounded-lg border border-border/60 px-4 py-2 text-sm transition-colors hover:bg-muted/50"
+              >
+                <svg
+                  className="h-4 w-4 text-[#FFDD00]"
+                  viewBox="0 0 24 24"
+                  fill="currentColor"
+                  aria-hidden="true"
+                >
+                  <path d="m20.216 6.415-.132-.666c-.119-.598-.388-1.163-1.001-1.379-.197-.069-.42-.098-.57-.241-.152-.143-.196-.366-.231-.572-.065-.378-.125-.756-.192-1.133-.057-.325-.102-.69-.25-.987-.195-.4-.597-.634-.996-.788a5.723 5.723 0 0 0-.626-.194c-1-.263-2.05-.36-3.077-.416a25.834 25.834 0 0 0-3.7.062c-.915.083-1.88.184-2.75.5-.318.116-.646.256-.888.501-.297.302-.393.77-.177 1.146.154.267.415.456.692.58.36.162.737.284 1.123.366 1.075.238 2.189.331 3.287.37 1.218.05 2.437.01 3.65-.118.299-.033.598-.073.896-.119.352-.054.578-.513.474-.834-.124-.383-.457-.531-.834-.473-.466.074-.96.108-1.382.146-1.177.08-2.358.082-3.536.006a22.228 22.228 0 0 1-1.157-.107c-.086-.01-.18-.025-.258-.036-.243-.036-.484-.08-.724-.13-.111-.027-.111-.185 0-.212h.005c.277-.06.557-.108.838-.147h.002c.131-.009.263-.032.394-.048a25.076 25.076 0 0 1 3.426-.12c.674.019 1.347.067 2.017.144l.228.031c.267.04.533.088.798.145.392.085.895.113 1.07.542.055.137.08.288.111.431l.319 1.484a.237.237 0 0 1-.199.284h-.003c-.037.006-.075.01-.112.015a36.704 36.704 0 0 1-4.743.295 37.059 37.059 0 0 1-4.699-.304c-.14-.017-.293-.042-.417-.06-.326-.048-.649-.108-.973-.161-.393-.065-.768-.032-1.123.161-.29.16-.527.404-.675.701-.154.316-.199.66-.267 1-.069.34-.176.707-.135 1.056.087.753.613 1.365 1.37 1.502a39.69 39.69 0 0 0 11.343.376.483.483 0 0 1 .535.53l-.071.697-1.018 9.907c-.041.41-.047.832-.125 1.237-.122.637-.553 1.028-1.182 1.171-.577.131-1.165.2-1.756.205-.656.004-1.31-.025-1.966-.022-.699.004-1.556-.06-2.095-.58-.475-.458-.54-1.174-.605-1.793l-.731-7.013-.322-3.094c-.037-.351-.286-.695-.678-.678-.336.015-.718.3-.678.679l.228 2.185.949 9.112c.147 1.344 1.174 2.068 2.446 2.272.742.12 1.503.144 2.257.156.966.016 1.942.053 2.892-.122 1.408-.258 2.465-1.198 2.616-2.657.34-3.332.683-6.663 1.024-9.995l.215-2.087a.484.484 0 0 1 .39-.426c.402-.078.787-.212 1.074-.518.455-.488.546-1.124.385-1.766zm-1.478.772c-.145.137-.363.201-.578.233-2.416.359-4.866.54-7.308.46-1.748-.06-3.477-.254-5.207-.498-.17-.024-.353-.055-.47-.18-.22-.236-.111-.71-.054-.995.052-.26.152-.609.463-.646.484-.057 1.046.148 1.526.22.577.088 1.156.159 1.737.212 2.48.226 5.002.19 7.472-.14.45-.06.899-.13 1.345-.21.399-.072.84-.206 1.08.206.166.281.188.657.162.974a.544.544 0 0 1-.169.364zm-6.159 3.9c-.862.37-1.84.788-3.109.788a5.884 5.884 0 0 1-1.569-.217l.877 9.004c.065.78.717 1.38 1.5 1.38 0 0 1.243.065 1.658.065.447 0 1.786-.065 1.786-.065.783 0 1.434-.6 1.499-1.38l.94-9.95a3.996 3.996 0 0 0-1.322-.238c-.826 0-1.491.284-2.26.613z" />
+                </svg>
+                Buy me a coffee
+                <ArrowUpRight className="h-3.5 w-3.5 text-muted-foreground/40 group-hover:text-muted-foreground transition-colors" />
+              </a>
+              <a
+                href="https://github.com/jamiepine/voicebox"
+                target="_blank"
+                rel="noopener noreferrer"
+                className="group inline-flex items-center gap-2 rounded-lg border border-border/60 px-4 py-2 text-sm transition-colors hover:bg-muted/50"
+              >
+                <svg
+                  className="h-4 w-4 text-muted-foreground"
+                  viewBox="0 0 24 24"
+                  fill="currentColor"
+                  aria-hidden="true"
+                >
+                  <path d="M12 2C6.477 2 2 6.484 2 12.017c0 4.425 2.865 8.18 6.839 9.504.5.092.682-.217.682-.483 0-.237-.008-.868-.013-1.703-2.782.605-3.369-1.343-3.369-1.343-.454-1.158-1.11-1.466-1.11-1.466-.908-.62.069-.608.069-.608 1.003.07 1.531 1.032 1.531 1.032.892 1.53 2.341 1.088 2.91.832.092-.647.35-1.088.636-1.338-2.22-.253-4.555-1.113-4.555-4.951 0-1.093.39-1.988 1.029-2.688-.103-.253-.446-1.272.098-2.65 0 0 .84-.27 2.75 1.026A9.564 9.564 0 0112 6.844c.85.004 1.705.115 2.504.337 1.909-1.296 2.747-1.027 2.747-1.027.546 1.379.202 2.398.1 2.651.64.7 1.028 1.595 1.028 2.688 0 3.848-2.339 4.695-4.566 4.943.359.309.678.92.678 1.855 0 1.338-.012 2.419-.012 2.747 0 .268.18.58.688.482A10.019 10.019 0 0022 12.017C22 6.484 17.522 2 12 2z" />
+                </svg>
+                GitHub
+                <ArrowUpRight className="h-3.5 w-3.5 text-muted-foreground/40 group-hover:text-muted-foreground transition-colors" />
+              </a>
+            </div>
+          </FadeIn>
+
+          <FadeIn delay={400}>
+            <p className="text-xs text-muted-foreground/40 pt-4">
+              Licensed under{' '}
+              <a
+                href="https://github.com/jamiepine/voicebox/blob/main/LICENSE"
+                target="_blank"
+                rel="noopener noreferrer"
+                className="hover:text-muted-foreground/60 transition-colors"
+              >
+                MIT
+              </a>
+            </p>
+          </FadeIn>
+        </div>
+      </div>
+    </>
+  );
+}

app/src/components/ServerTab/ChangelogPage.tsx

@@ -0,0 +1,220 @@
+import changelogRaw from 'virtual:changelog';
+import { useMemo, useState } from 'react';
+import { Badge } from '@/components/ui/badge';
+import { type ChangelogEntry, parseChangelog } from '@/lib/utils/parseChangelog';
+
+function renderMarkdown(md: string): React.ReactNode[] {
+  const lines = md.split('\n');
+  const elements: React.ReactNode[] = [];
+  let i = 0;
+
+  while (i < lines.length) {
+    const line = lines[i];
+
+    // Skip empty lines
+    if (line.trim() === '') {
+      i++;
+      continue;
+    }
+
+    // Tables — collect all lines starting with |
+    if (line.trim().startsWith('|')) {
+      const tableLines: string[] = [];
+      while (i < lines.length && lines[i].trim().startsWith('|')) {
+        tableLines.push(lines[i]);
+        i++;
+      }
+      elements.push(renderTable(tableLines, elements.length));
+      continue;
+    }
+
+    // Headings
+    if (line.startsWith('#### ')) {
+      elements.push(
+        <h5 key={elements.length} className="text-sm font-medium mt-5 mb-1">
+          {inlineMarkdown(line.slice(5))}
+        </h5>,
+      );
+      i++;
+      continue;
+    }
+    if (line.startsWith('### ')) {
+      elements.push(
+        <h4 key={elements.length} className="text-sm font-medium mt-6 mb-2">
+          {inlineMarkdown(line.slice(4))}
+        </h4>,
+      );
+      i++;
+      continue;
+    }
+
+    // List items — collect consecutive
+    if (line.startsWith('- ')) {
+      const items: string[] = [];
+      while (i < lines.length && lines[i].startsWith('- ')) {
+        items.push(lines[i].slice(2));
+        i++;
+      }
+      elements.push(
+        <ul key={elements.length} className="space-y-1 my-2">
+          {items.map((item, idx) => (
+            <li key={idx} className="text-sm text-muted-foreground flex gap-2">
+              <span className="text-muted-foreground/50 select-none shrink-0">&bull;</span>
+              <span>{inlineMarkdown(item)}</span>
+            </li>
+          ))}
+        </ul>,
+      );
+      continue;
+    }
+
+    // Paragraph
+    elements.push(
+      <p key={elements.length} className="text-sm text-muted-foreground my-2">
+        {inlineMarkdown(line)}
+      </p>,
+    );
+    i++;
+  }
+
+  return elements;
+}
+
+function renderTable(tableLines: string[], keyBase: number): React.ReactNode {
+  const parseRow = (line: string) =>
+    line
+      .split('|')
+      .slice(1, -1)
+      .map((c) => c.trim());
+
+  const headers = parseRow(tableLines[0]);
+  // Skip separator line (index 1)
+  const rows = tableLines.slice(2).map(parseRow);
+
+  return (
+    <div key={keyBase} className="overflow-x-auto my-3">
+      <table className="text-sm w-full">
+        <thead>
+          <tr className="border-b">
+            {headers.map((h, hIdx) => (
+              <th
+                key={hIdx}
+                className="text-left py-1.5 pr-4 text-muted-foreground font-medium text-xs"
+              >
+                {inlineMarkdown(h)}
+              </th>
+            ))}
+          </tr>
+        </thead>
+        <tbody>
+          {rows.map((row, rowIdx) => (
+            <tr key={rowIdx} className="border-b border-border/50">
+              {row.map((cell, cellIdx) => (
+                <td key={cellIdx} className="py-1.5 pr-4 text-muted-foreground">
+                  {inlineMarkdown(cell)}
+                </td>
+              ))}
+            </tr>
+          ))}
+        </tbody>
+      </table>
+    </div>
+  );
+}
+
+function inlineMarkdown(text: string): React.ReactNode {
+  // Process inline markdown: bold, code, links
+  const parts: React.ReactNode[] = [];
+  // Regex matches: **bold**, `code`, [text](url)
+  const inlineRe = /\*\*(.+?)\*\*|`([^`]+)`|\[([^\]]+)\]\(([^)]+)\)/g;
+  let lastIndex = 0;
+  let match: RegExpExecArray | null = inlineRe.exec(text);
+
+  while (match !== null) {
+    if (match.index > lastIndex) {
+      parts.push(text.slice(lastIndex, match.index));
+    }
+
+    if (match[1] !== undefined) {
+      // Bold
+      parts.push(
+        <strong key={parts.length} className="font-medium text-foreground">
+          {match[1]}
+        </strong>,
+      );
+    } else if (match[2] !== undefined) {
+      // Code
+      parts.push(
+        <code key={parts.length} className="px-1 py-0.5 rounded bg-muted text-xs font-mono">
+          {match[2]}
+        </code>,
+      );
+    } else if (match[3] !== undefined && match[4] !== undefined) {
+      // Link
+      parts.push(
+        <a
+          key={parts.length}
+          href={match[4]}
+          target="_blank"
+          rel="noopener noreferrer"
+          className="text-accent hover:underline"
+        >
+          {match[3]}
+        </a>,
+      );
+    }
+
+    lastIndex = match.index + match[0].length;
+    match = inlineRe.exec(text);
+  }
+
+  if (lastIndex < text.length) {
+    parts.push(text.slice(lastIndex));
+  }
+
+  return parts.length === 1 ? parts[0] : parts;
+}
+
+function ChangelogEntryCard({ entry }: { entry: ChangelogEntry }) {
+  const [expanded, setExpanded] = useState(false);
+  const content = useMemo(() => renderMarkdown(entry.body), [entry.body]);
+  const isLong = entry.body.split('\n').length > 12;
+
+  return (
+    <div className="border-b border-border/50 pb-6">
+      <div className="flex items-baseline gap-3 mb-3">
+        <h3 className="text-xl font-semibold tracking-tight">{entry.version}</h3>
+        {entry.date && <span className="text-xs text-muted-foreground">{entry.date}</span>}
+        {entry.version === 'Unreleased' && <Badge variant="outline">dev</Badge>}
+      </div>
+
+      <div className={isLong && !expanded ? 'max-h-48 overflow-hidden relative' : ''}>
+        {content}
+        {isLong && !expanded && (
+          <div className="absolute bottom-0 left-0 right-0 h-16 bg-gradient-to-t from-background to-transparent" />
+        )}
+      </div>
+
+      {isLong && (
+        <button
+          onClick={() => setExpanded(!expanded)}
+          className="text-xs text-accent hover:underline mt-2"
+        >
+          {expanded ? 'Show less' : 'Show more'}
+        </button>
+      )}
+    </div>
+  );
+}
+
+export function ChangelogPage() {
+  const entries = useMemo(() => parseChangelog(changelogRaw), []);
+
+  return (
+    <div className="space-y-6 max-w-2xl">
+      {entries.map((entry) => (
+        <ChangelogEntryCard key={entry.version} entry={entry} />
+      ))}
+    </div>
+  );
+}

app/src/components/ServerTab/GeneralPage.tsx

@@ -0,0 +1,379 @@
+import { zodResolver } from '@hookform/resolvers/zod';
+import { AlertCircle, ArrowUpRight, Book, Download, Loader2, RefreshCw } from 'lucide-react';
+import { useEffect, useState } from 'react';
+import { useForm } from 'react-hook-form';
+import * as z from 'zod';
+import { Button } from '@/components/ui/button';
+import { Form, FormControl, FormField, FormItem, FormMessage } from '@/components/ui/form';
+import { Input } from '@/components/ui/input';
+import { Progress } from '@/components/ui/progress';
+import { Toggle } from '@/components/ui/toggle';
+import { useToast } from '@/components/ui/use-toast';
+import { useAutoUpdater } from '@/hooks/useAutoUpdater';
+import { useServerHealth } from '@/lib/hooks/useServer';
+import { usePlatform } from '@/platform/PlatformContext';
+import { useServerStore } from '@/stores/serverStore';
+import { SettingRow, SettingSection } from './SettingRow';
+
+const connectionSchema = z.object({
+  serverUrl: z.string().url('Please enter a valid URL'),
+});
+
+type ConnectionFormValues = z.infer<typeof connectionSchema>;
+
+export function GeneralPage() {
+  const platform = usePlatform();
+  const serverUrl = useServerStore((state) => state.serverUrl);
+  const setServerUrl = useServerStore((state) => state.setServerUrl);
+  const keepServerRunningOnClose = useServerStore((state) => state.keepServerRunningOnClose);
+  const setKeepServerRunningOnClose = useServerStore((state) => state.setKeepServerRunningOnClose);
+  const mode = useServerStore((state) => state.mode);
+  const setMode = useServerStore((state) => state.setMode);
+  const { toast } = useToast();
+  const { data: health, isLoading, error: healthError } = useServerHealth();
+
+  const form = useForm<ConnectionFormValues>({
+    resolver: zodResolver(connectionSchema),
+    defaultValues: { serverUrl },
+  });
+
+  useEffect(() => {
+    form.reset({ serverUrl });
+  }, [serverUrl, form]);
+
+  const { isDirty } = form.formState;
+
+  function onSubmit(data: ConnectionFormValues) {
+    setServerUrl(data.serverUrl);
+    form.reset(data);
+    toast({
+      title: 'Server URL updated',
+      description: `Connected to ${data.serverUrl}`,
+    });
+  }
+
+  return (
+    <div className="space-y-8 max-w-2xl">
+      <div className="grid grid-cols-2 gap-3">
+        <a
+          href="https://docs.voicebox.sh"
+          target="_blank"
+          rel="noopener noreferrer"
+          className="group flex items-center gap-3 rounded-lg border border-border/60 p-4 transition-colors hover:bg-muted/50"
+        >
+          <Book className="h-5 w-5 shrink-0 text-accent" strokeWidth={2.5} />
+          <div className="min-w-0 flex-1">
+            <div className="text-sm font-medium">Read the Docs</div>
+            <div className="text-xs text-muted-foreground">docs.voicebox.sh</div>
+          </div>
+          <ArrowUpRight className="h-4 w-4 text-muted-foreground/40 group-hover:text-muted-foreground transition-colors" />
+        </a>
+        <a
+          href="https://discord.gg/StkzQasqPS"
+          target="_blank"
+          rel="noopener noreferrer"
+          className="group flex items-center gap-3 rounded-lg border border-border/60 p-4 transition-colors hover:bg-muted/50"
+        >
+          <svg
+            className="h-5 w-5 shrink-0 text-accent"
+            viewBox="0 0 24 24"
+            fill="currentColor"
+            aria-hidden="true"
+          >
+            <path d="M20.317 4.37a19.791 19.791 0 0 0-4.885-1.515.074.074 0 0 0-.079.037c-.21.375-.444.864-.608 1.25a18.27 18.27 0 0 0-5.487 0 12.64 12.64 0 0 0-.617-1.25.077.077 0 0 0-.079-.037A19.736 19.736 0 0 0 3.677 4.37a.07.07 0 0 0-.032.027C.533 9.046-.32 13.58.099 18.057a.082.082 0 0 0 .031.057 19.9 19.9 0 0 0 5.993 3.03.078.078 0 0 0 .084-.028c.462-.63.874-1.295 1.226-1.994a.076.076 0 0 0-.041-.106 13.107 13.107 0 0 1-1.872-.892.077.077 0 0 1-.008-.128 10.2 10.2 0 0 0 .372-.292.074.074 0 0 1 .077-.01c3.928 1.793 8.18 1.793 12.062 0a.074.074 0 0 1 .078.01c.12.098.246.198.373.292a.077.077 0 0 1-.006.127 12.299 12.299 0 0 1-1.873.892.077.077 0 0 0-.041.107c.36.698.772 1.362 1.225 1.993a.076.076 0 0 0 .084.028 19.839 19.839 0 0 0 6.002-3.03.077.077 0 0 0 .032-.054c.5-5.177-.838-9.674-3.549-13.66a.061.061 0 0 0-.031-.03zM8.02 15.33c-1.183 0-2.157-1.085-2.157-2.419 0-1.333.956-2.419 2.157-2.419 1.21 0 2.176 1.095 2.157 2.42 0 1.333-.956 2.418-2.157 2.418zm7.975 0c-1.183 0-2.157-1.085-2.157-2.419 0-1.333.955-2.419 2.157-2.419 1.21 0 2.176 1.095 2.157 2.42 0 1.333-.946 2.418-2.157 2.418z" />
+          </svg>
+          <div className="min-w-0 flex-1">
+            <div className="text-sm font-medium">Join the Discord</div>
+            <div className="text-xs text-muted-foreground">Get help & share voices</div>
+          </div>
+          <ArrowUpRight className="h-4 w-4 text-muted-foreground/40 group-hover:text-muted-foreground transition-colors" />
+        </a>
+      </div>
+
+      <SettingSection>
+        <SettingRow
+          title="Server URL"
+          description="The address of your voicebox backend server."
+          action={
+            <ConnectionStatus health={health} isLoading={isLoading} healthError={healthError} />
+          }
+        >
+          <Form {...form}>
+            <form onSubmit={form.handleSubmit(onSubmit)} className="flex gap-2">
+              <FormField
+                control={form.control}
+                name="serverUrl"
+                render={({ field }) => (
+                  <FormItem className="flex-1">
+                    <FormControl>
+                      <Input placeholder="http://127.0.0.1:17493" {...field} />
+                    </FormControl>
+                    <FormMessage />
+                  </FormItem>
+                )}
+              />
+              {isDirty && (
+                <Button type="submit" size="sm">
+                  Save
+                </Button>
+              )}
+            </form>
+          </Form>
+        </SettingRow>
+
+        <SettingRow
+          title="Keep server running when app closes"
+          description="The server will continue running in the background after closing the app."
+          htmlFor="keepServerRunning"
+          action={
+            <Toggle
+              id="keepServerRunning"
+              checked={keepServerRunningOnClose}
+              onCheckedChange={(checked: boolean) => {
+                setKeepServerRunningOnClose(checked);
+                platform.lifecycle.setKeepServerRunning(checked).catch((error) => {
+                  console.error('Failed to sync setting to Rust:', error);
+                  setKeepServerRunningOnClose(!checked);
+                  toast({
+                    title: 'Failed to update setting',
+                    description: 'Could not sync setting to backend.',
+                    variant: 'destructive',
+                  });
+                  return;
+                });
+                toast({
+                  title: 'Setting updated',
+                  description: checked
+                    ? 'Server will continue running when app closes'
+                    : 'Server will stop when app closes',
+                });
+              }}
+            />
+          }
+        />
+
+        {platform.metadata.isTauri && (
+          <SettingRow
+            title="Allow network access"
+            description="Makes the server accessible from other devices on your network. Restart the app after changing."
+            htmlFor="allowNetworkAccess"
+            action={
+              <Toggle
+                id="allowNetworkAccess"
+                checked={mode === 'remote'}
+                onCheckedChange={(checked: boolean) => {
+                  setMode(checked ? 'remote' : 'local');
+                  toast({
+                    title: 'Setting updated',
+                    description: checked
+                      ? 'Network access enabled. Restart the app to apply.'
+                      : 'Network access disabled. Restart the app to apply.',
+                  });
+                }}
+              />
+            }
+          />
+        )}
+      </SettingSection>
+
+      <ApiReferenceCard serverUrl={serverUrl} />
+
+      {platform.metadata.isTauri && <UpdatesSection />}
+    </div>
+  );
+}
+
+function ConnectionStatus({
+  health,
+  isLoading,
+  healthError,
+}: {
+  health: ReturnType<typeof useServerHealth>['data'];
+  isLoading: boolean;
+  healthError: ReturnType<typeof useServerHealth>['error'];
+}) {
+  if (isLoading) {
+    return (
+      <div className="flex items-center gap-2 rounded-full border border-border/60 px-3 py-1">
+        <Loader2 className="h-3 w-3 animate-spin text-muted-foreground" />
+        <span className="text-xs text-muted-foreground">Connecting</span>
+      </div>
+    );
+  }
+  if (healthError) {
+    return (
+      <div className="flex items-center gap-2 rounded-full border border-destructive/30 px-3 py-1">
+        <span className="relative flex h-2 w-2">
+          <span className="absolute inline-flex h-full w-full rounded-full bg-destructive/40" />
+          <span className="relative inline-flex h-2 w-2 rounded-full bg-destructive" />
+        </span>
+        <span className="text-xs text-destructive">Offline</span>
+      </div>
+    );
+  }
+  if (health) {
+    return (
+      <div className="flex items-center gap-2 rounded-full border border-accent/30 px-3 py-1">
+        <span className="relative flex h-2 w-2">
+          <span className="absolute inline-flex h-full w-full animate-ping rounded-full bg-accent/60" />
+          <span className="relative inline-flex h-2 w-2 rounded-full bg-accent shadow-[0_0_6px_1px_hsl(var(--accent)/0.5)]" />
+        </span>
+        <span className="text-xs text-muted-foreground">Online</span>
+      </div>
+    );
+  }
+  return null;
+}
+
+function UpdatesSection() {
+  const platform = usePlatform();
+  const { status, checkForUpdates, downloadAndInstall, restartAndInstall } = useAutoUpdater(false);
+  const [currentVersion, setCurrentVersion] = useState<string>('');
+  const isDev = !import.meta.env?.PROD;
+
+  useEffect(() => {
+    platform.metadata
+      .getVersion()
+      .then(setCurrentVersion)
+      .catch(() => setCurrentVersion('Unknown'));
+  }, [platform]);
+
+  return (
+    <SettingSection title="App Updates" description={`v${currentVersion}${isDev ? ' (dev)' : ''}`}>
+      {isDev ? (
+        <SettingRow
+          title="Development mode"
+          description="Auto-updates are disabled in development mode."
+        />
+      ) : (
+        <>
+          <SettingRow
+            title="Check for updates"
+            description={
+              status.available
+                ? `Version ${status.version} available`
+                : status.checking
+                  ? 'Checking...'
+                  : "You're up to date"
+            }
+            action={
+              <Button
+                onClick={checkForUpdates}
+                disabled={status.checking || status.downloading || status.readyToInstall}
+                variant="outline"
+                size="sm"
+              >
+                <RefreshCw
+                  className={`h-3.5 w-3.5 mr-1.5 ${status.checking ? 'animate-spin' : ''}`}
+                />
+                Check
+              </Button>
+            }
+          />
+
+          {status.error && (
+            <SettingRow title="Update error">
+              <div className="flex items-center gap-2 text-sm text-destructive">
+                <AlertCircle className="h-4 w-4" />
+                {status.error}
+              </div>
+            </SettingRow>
+          )}
+
+          {status.available && !status.downloading && !status.readyToInstall && (
+            <SettingRow
+              title={`Update to ${status.version}`}
+              description="Download and install the latest version."
+              action={
+                <Button onClick={downloadAndInstall} size="sm">
+                  <Download className="h-3.5 w-3.5 mr-1.5" />
+                  Download
+                </Button>
+              }
+            />
+          )}
+
+          {status.downloading && (
+            <SettingRow title="Downloading update...">
+              <div className="space-y-1.5">
+                <Progress value={status.downloadProgress} />
+                <div className="flex items-center justify-between text-xs text-muted-foreground">
+                  {status.downloadedBytes !== undefined &&
+                  status.totalBytes !== undefined &&
+                  status.totalBytes > 0 ? (
+                    <span>
+                      {(status.downloadedBytes / 1024 / 1024).toFixed(1)} MB /{' '}
+                      {(status.totalBytes / 1024 / 1024).toFixed(1)} MB
+                    </span>
+                  ) : (
+                    <span />
+                  )}
+                  {status.downloadProgress !== undefined && <span>{status.downloadProgress}%</span>}
+                </div>
+              </div>
+            </SettingRow>
+          )}
+
+          {status.readyToInstall && (
+            <SettingRow
+              title="Update ready to install"
+              description={`Version ${status.version} has been downloaded. Restart to complete.`}
+              action={
+                <Button onClick={restartAndInstall} size="sm">
+                  <RefreshCw className="h-3.5 w-3.5 mr-1.5" />
+                  Restart Now
+                </Button>
+              }
+            />
+          )}
+        </>
+      )}
+    </SettingSection>
+  );
+}
+
+const API_ENDPOINTS = [
+  { method: 'POST', path: '/generate', label: 'Generate speech' },
+  { method: 'GET', path: '/health', label: 'Server status' },
+  { method: 'GET', path: '/profiles', label: 'List voices' },
+  { method: 'GET', path: '/history', label: 'Past generations' },
+];
+
+function ApiReferenceCard({ serverUrl }: { serverUrl: string }) {
+  return (
+    <div className="rounded-lg border border-border/60 p-4 space-y-3">
+      <div>
+        <h3 className="text-sm font-medium">API Access</h3>
+        <p className="text-sm text-muted-foreground">
+          Integrate Voicebox into your workflow via the REST API at{' '}
+          <code className="text-xs bg-muted px-1 py-0.5 rounded font-mono">{serverUrl}</code>
+        </p>
+      </div>
+      <div className="space-y-1">
+        {API_ENDPOINTS.map((ep) => (
+          <div key={ep.path} className="flex items-center gap-2.5 py-1">
+            <span
+              className={`text-[10px] font-mono font-semibold w-9 text-center rounded px-1 py-px ${
+                ep.method === 'POST' ? 'bg-accent/10 text-accent' : 'bg-muted text-muted-foreground'
+              }`}
+            >
+              {ep.method}
+            </span>
+            <code className="text-xs font-mono text-muted-foreground">{ep.path}</code>
+            <span className="text-xs text-muted-foreground/50 ml-auto">{ep.label}</span>
+          </div>
+        ))}
+      </div>
+      <p className="text-xs text-muted-foreground">
+        <a
+          href={`${serverUrl}/docs`}
+          target="_blank"
+          rel="noopener noreferrer"
+          className="text-accent hover:underline"
+        >
+          View the full API reference
+        </a>
+      </p>
+    </div>
+  );
+}

app/src/components/ServerTab/GenerationPage.tsx

@@ -0,0 +1,138 @@
+import { FolderOpen } from 'lucide-react';
+import { useCallback, useEffect, useState } from 'react';
+import { Button } from '@/components/ui/button';
+import { Slider } from '@/components/ui/slider';
+import { Toggle } from '@/components/ui/toggle';
+import { usePlatform } from '@/platform/PlatformContext';
+import { useServerStore } from '@/stores/serverStore';
+import { SettingRow, SettingSection } from './SettingRow';
+
+export function GenerationPage() {
+  const platform = usePlatform();
+  const serverUrl = useServerStore((state) => state.serverUrl);
+  const maxChunkChars = useServerStore((state) => state.maxChunkChars);
+  const setMaxChunkChars = useServerStore((state) => state.setMaxChunkChars);
+  const crossfadeMs = useServerStore((state) => state.crossfadeMs);
+  const setCrossfadeMs = useServerStore((state) => state.setCrossfadeMs);
+  const normalizeAudio = useServerStore((state) => state.normalizeAudio);
+  const setNormalizeAudio = useServerStore((state) => state.setNormalizeAudio);
+  const autoplayOnGenerate = useServerStore((state) => state.autoplayOnGenerate);
+  const setAutoplayOnGenerate = useServerStore((state) => state.setAutoplayOnGenerate);
+  const [opening, setOpening] = useState(false);
+  const [generationsPath, setGenerationsPath] = useState<string | null>(null);
+
+  useEffect(() => {
+    fetch(`${serverUrl}/health/filesystem`)
+      .then((res) => res.json())
+      .then((data) => {
+        const genDir = data.directories?.find((d: { path: string }) =>
+          d.path.includes('generations'),
+        );
+        if (genDir?.path) setGenerationsPath(genDir.path);
+      })
+      .catch(() => {});
+  }, [serverUrl]);
+
+  const openGenerationsFolder = useCallback(async () => {
+    if (!generationsPath) return;
+    setOpening(true);
+    try {
+      await platform.filesystem.openPath(generationsPath);
+    } catch (e) {
+      console.error('Failed to open generations folder:', e);
+    } finally {
+      setOpening(false);
+    }
+  }, [platform, generationsPath]);
+
+  return (
+    <div className="space-y-8 max-w-2xl">
+      <SettingSection
+        title="Generation"
+        description="Controls for long text generation. These settings apply to all engines."
+      >
+        <SettingRow
+          title="Auto-chunking limit"
+          description="Long text is split into chunks at sentence boundaries. Lower values can improve quality for long outputs."
+          action={
+            <span className="text-sm tabular-nums text-muted-foreground">
+              {maxChunkChars} chars
+            </span>
+          }
+        >
+          <Slider
+            id="maxChunkChars"
+            value={[maxChunkChars]}
+            onValueChange={([value]) => setMaxChunkChars(value)}
+            min={100}
+            max={5000}
+            step={50}
+            aria-label="Auto-chunking character limit"
+          />
+        </SettingRow>
+
+        <SettingRow
+          title="Chunk crossfade"
+          description="Blends audio between chunks to smooth transitions. Set to 0 for a hard cut."
+          action={
+            <span className="text-sm tabular-nums text-muted-foreground">
+              {crossfadeMs === 0 ? 'Cut' : `${crossfadeMs}ms`}
+            </span>
+          }
+        >
+          <Slider
+            id="crossfadeMs"
+            value={[crossfadeMs]}
+            onValueChange={([value]) => setCrossfadeMs(value)}
+            min={0}
+            max={200}
+            step={10}
+            aria-label="Chunk crossfade duration"
+          />
+        </SettingRow>
+
+        <SettingRow
+          title="Normalize audio"
+          description="Adjusts output volume to a consistent level across generations."
+          htmlFor="normalizeAudio"
+          action={
+            <Toggle
+              id="normalizeAudio"
+              checked={normalizeAudio}
+              onCheckedChange={setNormalizeAudio}
+            />
+          }
+        />
+
+        <SettingRow
+          title="Autoplay on generate"
+          description="Automatically play audio when a generation completes."
+          htmlFor="autoplayOnGenerate"
+          action={
+            <Toggle
+              id="autoplayOnGenerate"
+              checked={autoplayOnGenerate}
+              onCheckedChange={setAutoplayOnGenerate}
+            />
+          }
+        />
+
+        <SettingRow
+          title="Generations folder"
+          description={generationsPath ?? 'Where generated audio files are stored on disk.'}
+          action={
+            <Button
+              variant="outline"
+              size="sm"
+              onClick={openGenerationsFolder}
+              disabled={opening || !generationsPath}
+            >
+              <FolderOpen className="h-3.5 w-3.5 mr-1.5" />
+              Open
+            </Button>
+          }
+        />
+      </SettingSection>
+    </div>
+  );
+}

app/src/components/ServerTab/GpuPage.tsx

@@ -0,0 +1,405 @@
+import { useQuery, useQueryClient } from '@tanstack/react-query';
+import { AlertCircle, Cpu, Download, Loader2, RotateCw, Trash2 } from 'lucide-react';
+import { useCallback, useEffect, useRef, useState } from 'react';
+import { Button } from '@/components/ui/button';
+import { Progress } from '@/components/ui/progress';
+import { apiClient } from '@/lib/api/client';
+import type { CudaDownloadProgress, HealthResponse } from '@/lib/api/types';
+import { useServerHealth } from '@/lib/hooks/useServer';
+import { usePlatform } from '@/platform/PlatformContext';
+import { useServerStore } from '@/stores/serverStore';
+import { SettingRow, SettingSection } from './SettingRow';
+
+type RestartPhase = 'idle' | 'stopping' | 'waiting' | 'ready';
+
+function AppleLogo({ className }: { className?: string }) {
+  return (
+    <svg className={className} viewBox="0 0 24 24" fill="currentColor" aria-hidden="true">
+      <path d="M18.71 19.5c-.83 1.24-1.71 2.45-3.05 2.47-1.34.03-1.77-.79-3.29-.79-1.53 0-2 .77-3.27.82-1.31.05-2.3-1.32-3.14-2.53C4.25 17 2.94 12.45 4.7 9.39c.87-1.52 2.43-2.48 4.12-2.51 1.28-.02 2.5.87 3.29.87.78 0 2.26-1.07 3.8-.91.65.03 2.47.26 3.64 1.98-.09.06-2.17 1.28-2.15 3.81.03 3.02 2.65 4.03 2.68 4.04-.03.07-.42 1.44-1.38 2.83M13 3.5c.73-.83 1.94-1.46 2.94-1.5.13 1.17-.34 2.35-1.04 3.19-.69.85-1.83 1.51-2.95 1.42-.15-1.15.41-2.35 1.05-3.11z" />
+    </svg>
+  );
+}
+
+function GpuIcon({ className }: { className?: string }) {
+  return (
+    <svg
+      className={className}
+      viewBox="0 0 24 24"
+      fill="none"
+      stroke="currentColor"
+      strokeWidth="1.5"
+      strokeLinecap="round"
+      strokeLinejoin="round"
+      aria-hidden="true"
+    >
+      <rect x="4" y="6" width="16" height="12" rx="2" />
+      <path d="M2 10h2M2 14h2M20 10h2M20 14h2" />
+      <path d="M9 10h6M9 14h4" />
+    </svg>
+  );
+}
+
+function GpuInfoCard({ health }: { health: HealthResponse }) {
+  const hasGpu = health.gpu_available && health.gpu_type;
+
+  // Parse GPU name from type string like "CUDA (NVIDIA RTX 4090)" or "MPS (Apple M2 Pro)"
+  const gpuName = hasGpu
+    ? health.gpu_type!.replace(/^(CUDA|ROCm|MPS|Metal|XPU|DirectML)\s*\((.+)\)$/, '$2') ||
+      health.gpu_type!
+    : null;
+  const gpuBackend = hasGpu ? health.gpu_type!.replace(/\s*\(.+\)$/, '') : null;
+  const isApple = gpuBackend === 'MPS' || gpuBackend === 'Metal';
+  const showBackendVariant = health.backend_variant && health.backend_variant !== 'cpu';
+
+  return (
+    <div className="rounded-lg border border-border/60 p-4">
+      <div className="flex items-center gap-3">
+        {hasGpu ? (
+          isApple ? (
+            <AppleLogo className="h-5 w-5 shrink-0 text-muted-foreground" />
+          ) : (
+            <GpuIcon className="h-5 w-5 shrink-0 text-accent" />
+          )
+        ) : (
+          <Cpu className="h-5 w-5 shrink-0 text-muted-foreground" />
+        )}
+        <div className="flex-1 min-w-0 space-y-0.5">
+          <div className="text-sm font-medium">{hasGpu ? gpuName : 'CPU Only'}</div>
+          <div className="flex flex-wrap items-center gap-x-3 gap-y-1 text-xs text-muted-foreground">
+            {hasGpu ? (
+              <>
+                <span>{gpuBackend}</span>
+                {showBackendVariant && (
+                  <>
+                    <span className="text-border">|</span>
+                    <span className="uppercase">{health.backend_variant}</span>
+                  </>
+                )}
+                {health.vram_used_mb != null && health.vram_used_mb > 0 && (
+                  <>
+                    <span className="text-border">|</span>
+                    <span>{health.vram_used_mb.toFixed(0)} MB VRAM</span>
+                  </>
+                )}
+              </>
+            ) : (
+              <span>No GPU acceleration detected</span>
+            )}
+          </div>
+        </div>
+        {hasGpu && (
+          <div className="flex items-center gap-2 rounded-full border border-accent/30 px-2.5 py-0.5">
+            <span className="relative flex h-1.5 w-1.5">
+              <span className="absolute inline-flex h-full w-full animate-ping rounded-full bg-accent/60" />
+              <span className="relative inline-flex h-1.5 w-1.5 rounded-full bg-accent shadow-[0_0_4px_1px_hsl(var(--accent)/0.4)]" />
+            </span>
+            <span className="text-[10px] font-medium text-muted-foreground">Active</span>
+          </div>
+        )}
+      </div>
+    </div>
+  );
+}
+
+export function GpuPage() {
+  const platform = usePlatform();
+  const queryClient = useQueryClient();
+  const serverUrl = useServerStore((state) => state.serverUrl);
+  const { data: health } = useServerHealth();
+
+  const [restartPhase, setRestartPhase] = useState<RestartPhase>('idle');
+  const [error, setError] = useState<string | null>(null);
+  const [downloadProgress, setDownloadProgress] = useState<CudaDownloadProgress | null>(null);
+  const healthPollRef = useRef<ReturnType<typeof setInterval> | null>(null);
+
+  const {
+    data: cudaStatus,
+    isLoading: _cudaStatusLoading,
+    refetch: refetchCudaStatus,
+  } = useQuery({
+    queryKey: ['cuda-status', serverUrl],
+    queryFn: () => apiClient.getCudaStatus(),
+    refetchInterval: (query) => (query.state.status === 'pending' ? false : 10000),
+    retry: 1,
+    enabled: !!health,
+  });
+
+  const isCurrentlyCuda = health?.backend_variant === 'cuda';
+  const cudaAvailable = cudaStatus?.available ?? false;
+  const cudaDownloading = cudaStatus?.downloading ?? false;
+
+  useEffect(() => {
+    return () => {
+      if (healthPollRef.current) {
+        clearInterval(healthPollRef.current);
+        healthPollRef.current = null;
+      }
+    };
+  }, []);
+
+  useEffect(() => {
+    if (!cudaDownloading || !serverUrl) return;
+
+    const eventSource = new EventSource(`${serverUrl}/backend/cuda-progress`);
+
+    eventSource.onmessage = (event) => {
+      try {
+        const data = JSON.parse(event.data) as CudaDownloadProgress;
+        setDownloadProgress(data);
+
+        if (data.status === 'complete') {
+          eventSource.close();
+          setDownloadProgress(null);
+          refetchCudaStatus();
+        } else if (data.status === 'error') {
+          eventSource.close();
+          setError(data.error || 'Download failed');
+          setDownloadProgress(null);
+          refetchCudaStatus();
+        }
+      } catch (e) {
+        console.error('Error parsing CUDA progress event:', e);
+      }
+    };
+
+    eventSource.onerror = () => {
+      eventSource.close();
+    };
+
+    return () => {
+      eventSource.close();
+    };
+  }, [cudaDownloading, serverUrl, refetchCudaStatus]);
+
+  const clearHealthPolling = useCallback(() => {
+    if (healthPollRef.current) {
+      clearInterval(healthPollRef.current);
+      healthPollRef.current = null;
+    }
+  }, []);
+
+  const startHealthPolling = useCallback(() => {
+    clearHealthPolling();
+
+    healthPollRef.current = setInterval(async () => {
+      try {
+        const result = await apiClient.getHealth();
+        if (result.status === 'healthy') {
+          clearHealthPolling();
+          setRestartPhase('ready');
+          queryClient.invalidateQueries();
+          setTimeout(() => setRestartPhase('idle'), 2000);
+        }
+      } catch {
+        // Server still down, keep polling
+      }
+    }, 1000);
+  }, [queryClient, clearHealthPolling]);
+
+  const restartServerWithPolling = useCallback(
+    async (errorMessage: string) => {
+      setRestartPhase('stopping');
+      try {
+        await platform.lifecycle.restartServer();
+        setRestartPhase('waiting');
+        startHealthPolling();
+      } catch (e: unknown) {
+        clearHealthPolling();
+        setRestartPhase('idle');
+        throw new Error(e instanceof Error ? e.message : errorMessage);
+      }
+    },
+    [platform, startHealthPolling, clearHealthPolling],
+  );
+
+  const handleDownload = async () => {
+    setError(null);
+    try {
+      await apiClient.downloadCudaBackend();
+      refetchCudaStatus();
+    } catch (e: unknown) {
+      const msg = e instanceof Error ? e.message : 'Failed to start download';
+      if (msg.includes('already downloaded')) {
+        refetchCudaStatus();
+      } else {
+        setError(msg);
+      }
+    }
+  };
+
+  const handleRestart = async () => {
+    setError(null);
+    try {
+      await restartServerWithPolling('Restart failed');
+    } catch (e: unknown) {
+      setError(e instanceof Error ? e.message : 'Restart failed');
+    }
+  };
+
+  const handleSwitchToCpu = async () => {
+    setError(null);
+    setRestartPhase('stopping');
+    try {
+      await apiClient.deleteCudaBackend();
+      await restartServerWithPolling('Failed to switch to CPU');
+    } catch (e: unknown) {
+      setError(e instanceof Error ? e.message : 'Failed to switch to CPU');
+      refetchCudaStatus();
+    }
+  };
+
+  const handleDelete = async () => {
+    setError(null);
+    try {
+      await apiClient.deleteCudaBackend();
+      refetchCudaStatus();
+    } catch (e: unknown) {
+      setError(e instanceof Error ? e.message : 'Failed to delete CUDA backend');
+    }
+  };
+
+  const formatBytes = (bytes: number): string => {
+    if (bytes === 0) return '0 B';
+    const k = 1024;
+    const sizes = ['B', 'KB', 'MB', 'GB'];
+    const i = Math.floor(Math.log(bytes) / Math.log(k));
+    return `${(bytes / k ** i).toFixed(1)} ${sizes[i]}`;
+  };
+
+  if (!health) return null;
+
+  const hasNativeGpu =
+    health.gpu_available &&
+    !isCurrentlyCuda &&
+    health.gpu_type &&
+    !health.gpu_type.includes('CUDA');
+
+  return (
+    <div className="space-y-8 max-w-2xl">
+      <GpuInfoCard health={health} />
+
+      {/* CUDA section — only when no native GPU and not already on CUDA */}
+      {!hasNativeGpu && !isCurrentlyCuda && (
+        <SettingSection
+          title="CUDA Backend"
+          description="NVIDIA GPU acceleration via a downloadable CUDA backend."
+        >
+          {/* Download progress */}
+          {cudaDownloading && downloadProgress && (
+            <SettingRow title="Downloading CUDA backend...">
+              <div className="space-y-1.5">
+                <Progress value={downloadProgress.progress} className="h-2" />
+                <div className="flex items-center justify-between text-xs text-muted-foreground">
+                  <span>
+                    {downloadProgress.filename ||
+                      (cudaAvailable ? 'Updating...' : 'Downloading...')}
+                  </span>
+                  <span>
+                    {downloadProgress.total > 0
+                      ? `${formatBytes(downloadProgress.current)} / ${formatBytes(downloadProgress.total)}`
+                      : `${downloadProgress.progress.toFixed(1)}%`}
+                  </span>
+                </div>
+              </div>
+            </SettingRow>
+          )}
+
+          {/* Restart in progress */}
+          {restartPhase !== 'idle' && (
+            <SettingRow
+              title={
+                restartPhase === 'ready'
+                  ? 'Server restarted successfully'
+                  : restartPhase === 'waiting'
+                    ? 'Restarting server...'
+                    : 'Stopping server...'
+              }
+              action={<Loader2 className="h-4 w-4 animate-spin text-muted-foreground" />}
+            />
+          )}
+
+          {/* Error */}
+          {error && (
+            <SettingRow title="Error">
+              <div className="flex items-center gap-2 text-sm text-destructive">
+                <AlertCircle className="h-4 w-4 shrink-0" />
+                <span>{error}</span>
+              </div>
+            </SettingRow>
+          )}
+
+          {/* Actions */}
+          {restartPhase === 'idle' && !cudaDownloading && (
+            <>
+              {!cudaAvailable && !isCurrentlyCuda && (
+                <SettingRow
+                  title="Download CUDA backend"
+                  description="~2.4 GB download. Requires an NVIDIA GPU with CUDA support."
+                  action={
+                    <Button onClick={handleDownload} size="sm">
+                      <Download className="h-3.5 w-3.5 mr-1.5" />
+                      Download
+                    </Button>
+                  }
+                />
+              )}
+
+              {cudaAvailable && !isCurrentlyCuda && platform.metadata.isTauri && (
+                <SettingRow
+                  title="Switch to CUDA backend"
+                  description="CUDA backend is downloaded and ready. Restart to enable."
+                  action={
+                    <Button onClick={handleRestart} size="sm">
+                      <RotateCw className="h-3.5 w-3.5 mr-1.5" />
+                      Restart
+                    </Button>
+                  }
+                />
+              )}
+
+              {isCurrentlyCuda && platform.metadata.isTauri && (
+                <SettingRow
+                  title="Switch to CPU backend"
+                  description="Disable GPU acceleration. You can re-download CUDA later."
+                  action={
+                    <Button onClick={handleSwitchToCpu} variant="outline" size="sm">
+                      <RotateCw className="h-3.5 w-3.5 mr-1.5" />
+                      Switch
+                    </Button>
+                  }
+                />
+              )}
+
+              {cudaAvailable && !isCurrentlyCuda && (
+                <SettingRow
+                  title="Remove CUDA backend"
+                  description="Delete the downloaded CUDA binary to free disk space."
+                  action={
+                    <Button
+                      onClick={handleDelete}
+                      variant="ghost"
+                      size="sm"
+                      className="text-muted-foreground hover:text-destructive"
+                    >
+                      <Trash2 className="h-3.5 w-3.5 mr-1.5" />
+                      Remove
+                    </Button>
+                  }
+                />
+              )}
+            </>
+          )}
+        </SettingSection>
+      )}
+
+      <p className="text-xs text-muted-foreground/60 leading-relaxed">
+        Voicebox automatically detects and uses the best available GPU on your system. On Apple
+        Silicon Macs, the MLX backend runs natively on the Neural Engine and GPU via Metal
+        Performance Shaders (MPS), with no additional setup required. On Windows and Linux with
+        NVIDIA GPUs, you can download an optional CUDA backend for hardware-accelerated inference.
+        AMD ROCm, Intel XPU, and DirectML are also supported where available through PyTorch. When
+        no GPU is detected, Voicebox falls back to CPU — all engines still work, just slower.
+      </p>
+    </div>
+  );
+}

app/src/components/ServerTab/LogsPage.tsx

@@ -0,0 +1,104 @@
+import { useEffect, useRef, useState } from 'react';
+import { Button } from '@/components/ui/button';
+import { cn } from '@/lib/utils/cn';
+import { type LogEntry, useLogStore } from '@/stores/logStore';
+
+function formatTime(timestamp: number): string {
+  const d = new Date(timestamp);
+  return d.toLocaleTimeString(undefined, {
+    hour: '2-digit',
+    minute: '2-digit',
+    second: '2-digit',
+    hour12: false,
+  });
+}
+
+function LogLine({ entry }: { entry: LogEntry }) {
+  return (
+    <div className="flex gap-3 font-mono text-xs leading-5 hover:bg-muted/30">
+      <span className="text-muted-foreground/50 select-none shrink-0">
+        {formatTime(entry.timestamp)}
+      </span>
+      <span
+        className={cn(
+          'whitespace-pre-wrap break-all',
+          entry.stream === 'stderr' ? 'text-orange-400/80' : 'text-muted-foreground',
+        )}
+      >
+        {entry.line}
+      </span>
+    </div>
+  );
+}
+
+export function LogsPage() {
+  const entries = useLogStore((s) => s.entries);
+  const clear = useLogStore((s) => s.clear);
+  const containerRef = useRef<HTMLDivElement>(null);
+  const [autoScroll, setAutoScroll] = useState(true);
+
+  // Auto-scroll to bottom when new entries arrive
+  useEffect(() => {
+    if (autoScroll && containerRef.current) {
+      containerRef.current.scrollTop = containerRef.current.scrollHeight;
+    }
+  }, [entries.length, autoScroll]);
+
+  // Detect manual scroll to disable auto-scroll
+  const handleScroll = () => {
+    const el = containerRef.current;
+    if (!el) return;
+    const atBottom = el.scrollHeight - el.scrollTop - el.clientHeight < 40;
+    setAutoScroll(atBottom);
+  };
+
+  return (
+    <div className="flex flex-col h-full min-h-0">
+      <div className="flex items-center justify-between mb-3">
+        <div>
+          <h3 className="text-sm font-medium">Server Logs</h3>
+          <p className="text-sm text-muted-foreground">
+            {entries.length} {entries.length === 1 ? 'line' : 'lines'}
+          </p>
+        </div>
+        <div className="flex items-center gap-2">
+          {!autoScroll && (
+            <Button
+              variant="outline"
+              size="sm"
+              onClick={() => {
+                setAutoScroll(true);
+                containerRef.current?.scrollTo({ top: containerRef.current.scrollHeight });
+              }}
+            >
+              Scroll to bottom
+            </Button>
+          )}
+          <Button variant="outline" size="sm" onClick={clear}>
+            Clear
+          </Button>
+        </div>
+      </div>
+
+      <div
+        ref={containerRef}
+        onScroll={handleScroll}
+        className="flex-1 min-h-0 overflow-y-auto rounded-md border bg-black/20 p-3"
+      >
+        {entries.length === 0 ? (
+          <div className="text-sm text-muted-foreground/50 font-mono space-y-1">
+            <p>No log output yet.</p>
+            {!import.meta.env?.PROD && (
+              <p>
+                Server logs are only captured when the app manages the server process (production
+                builds).
+              </p>
+            )}
+          </div>
+        ) : (
+          entries.map((entry) => <LogLine key={entry.id} entry={entry} />)
+        )}
+      </div>
+    </div>
+  );
+}

app/src/components/ServerTab/ServerTab.tsx

@@ -1,35 +1,70 @@
-import { ConnectionForm } from '@/components/ServerSettings/ConnectionForm';
-import { GenerationSettings } from '@/components/ServerSettings/GenerationSettings';
-import { GpuAcceleration } from '@/components/ServerSettings/GpuAcceleration';
-import { UpdateStatus } from '@/components/ServerSettings/UpdateStatus';
+import { Link, Outlet, useMatchRoute } from '@tanstack/react-router';
 import { BOTTOM_SAFE_AREA_PADDING } from '@/lib/constants/ui';
 import { cn } from '@/lib/utils/cn';
 import { usePlatform } from '@/platform/PlatformContext';
 import { usePlayerStore } from '@/stores/playerStore';
 
-export function ServerTab() {
+interface SettingsTab {
+  label: string;
+  path:
+    | '/settings'
+    | '/settings/generation'
+    | '/settings/gpu'
+    | '/settings/logs'
+    | '/settings/changelog'
+    | '/settings/about';
+  tauriOnly?: boolean;
+}
+
+const tabs: SettingsTab[] = [
+  { label: 'General', path: '/settings' },
+  { label: 'Generation', path: '/settings/generation' },
+  { label: 'GPU', path: '/settings/gpu', tauriOnly: true },
+  { label: 'Logs', path: '/settings/logs', tauriOnly: true },
+  { label: 'Changelog', path: '/settings/changelog' },
+  { label: 'About', path: '/settings/about' },
+];
+
+export function SettingsLayout() {
   const platform = usePlatform();
   const isPlayerVisible = !!usePlayerStore((state) => state.audioUrl);
+  const matchRoute = useMatchRoute();
+
   return (
-    <div
-      className={cn('overflow-y-auto flex flex-col', isPlayerVisible && BOTTOM_SAFE_AREA_PADDING)}
-    >
-      <div className="grid gap-4 md:grid-cols-2">
-        <ConnectionForm />
-        <GenerationSettings />
-        {platform.metadata.isTauri && <GpuAcceleration />}
-        {platform.metadata.isTauri && <UpdateStatus />}
-      </div>
-      <div className="py-8 text-center text-sm text-muted-foreground">
-        Created by{' '}
-        <a
-          href="https://github.com/jamiepine"
-          target="_blank"
-          rel="noopener noreferrer"
-          className="text-accent hover:underline"
-        >
-          Jamie Pine
-        </a>
+    <div className="flex flex-col h-full min-h-0">
+      <nav className="flex gap-1 border-b shrink-0">
+        {tabs.map((tab) => {
+          if (tab.tauriOnly && !platform.metadata.isTauri) return null;
+
+          const isActive =
+            tab.path === '/settings'
+              ? matchRoute({ to: tab.path, fuzzy: false })
+              : matchRoute({ to: tab.path });
+
+          return (
+            <Link
+              key={tab.path}
+              to={tab.path}
+              className={cn(
+                'px-4 py-2 text-sm font-medium transition-colors border-b-2 -mb-px',
+                isActive
+                  ? 'border-accent text-foreground'
+                  : 'border-transparent text-muted-foreground hover:text-foreground hover:border-muted-foreground/30',
+              )}
+            >
+              {tab.label}
+            </Link>
+          );
+        })}
+      </nav>
+
+      <div
+        className={cn(
+          'flex-1 overflow-y-auto pt-6 pb-6 px-2 -mx-2',
+          isPlayerVisible && BOTTOM_SAFE_AREA_PADDING,
+        )}
+      >
+        <Outlet />
       </div>
     </div>
   );

app/src/components/ServerTab/SettingRow.tsx

@@ -0,0 +1,62 @@
+import type { ReactNode } from 'react';
+
+/**
+ * A section header with title and optional description, separated by a border.
+ */
+export function SettingSection({
+  title,
+  description,
+  children,
+}: {
+  title?: string;
+  description?: string;
+  children: ReactNode;
+}) {
+  return (
+    <div className="space-y-1">
+      {title && <h3 className="text-sm font-medium">{title}</h3>}
+      {description && <p className="text-sm text-muted-foreground">{description}</p>}
+      <div className={`${title || description ? 'pt-3' : ''} space-y-0 divide-y divide-border/60`}>
+        {children}
+      </div>
+    </div>
+  );
+}
+
+/**
+ * A single settings row: label+description on the left, action on the right.
+ * Use for toggles, inputs, buttons, badges — any control type.
+ */
+export function SettingRow({
+  title,
+  description,
+  htmlFor,
+  action,
+  children,
+}: {
+  title: string;
+  description?: string;
+  htmlFor?: string;
+  /** Right-aligned control (checkbox, button, badge, etc.) */
+  action?: ReactNode;
+  /** Full-width content rendered below the label row (for sliders, inputs, etc.) */
+  children?: ReactNode;
+}) {
+  return (
+    <div className="py-3">
+      <div className="flex items-center justify-between gap-8">
+        <div className="min-w-0">
+          <label
+            htmlFor={htmlFor}
+            className={`text-sm font-medium leading-none select-none ${htmlFor ? 'cursor-pointer' : ''}`}
+          >
+            {title}
+          </label>
+          {description && <p className="text-sm text-muted-foreground mt-0.5">{description}</p>}
+        </div>
+        {action && <div className="shrink-0">{action}</div>}
+      </div>
+      {children && <div className="mt-3">{children}</div>}
+    </div>
+  );
+}

app/src/components/Sidebar.tsx

@@ -1,5 +1,5 @@
 import { Link, useMatchRoute } from '@tanstack/react-router';
-import { AudioLines, Box, Mic, Server, Speaker, Volume2, Wand2 } from 'lucide-react';
+import { AudioLines, Box, Mic, Settings, Speaker, Volume2, Wand2 } from 'lucide-react';
 import { useEffect, useState } from 'react';
 import voiceboxLogo from '@/assets/voicebox-logo.png';
 import { cn } from '@/lib/utils/cn';
@@ -19,7 +19,7 @@ const tabs = [
   { id: 'effects', path: '/effects', icon: Wand2, label: 'Effects' },
   { id: 'audio', path: '/audio', icon: Speaker, label: 'Audio' },
   { id: 'models', path: '/models', icon: Box, label: 'Models' },
-  { id: 'server', path: '/server', icon: Server, label: 'Server' },
+  { id: 'settings', path: '/settings', icon: Settings, label: 'Settings' },
 ];
 
 export function Sidebar({ isMacOS }: SidebarProps) {
@@ -54,9 +54,10 @@ export function Sidebar({ isMacOS }: SidebarProps) {
       <div className="flex flex-col gap-3">
         {tabs.map((tab, index) => {
           const Icon = tab.icon;
-          // For index route, use exact match; for others, use default matching
           const isActive =
-            tab.path === '/' ? matchRoute({ to: '/', exact: true }) : matchRoute({ to: tab.path });
+            tab.path === '/'
+              ? matchRoute({ to: '/', fuzzy: false })
+              : matchRoute({ to: tab.path, fuzzy: true });
 
           // Accent fades as buttons get further from the logo
           const accentOpacity = Math.max(0.08, 0.5 - index * 0.07);
@@ -98,7 +99,7 @@ export function Sidebar({ isMacOS }: SidebarProps) {
         <span className="text-[10px] text-muted-foreground/50">v{version}</span>
         {updateStatus.available && (
           <Link
-            to="/server"
+            to="/settings"
             className="text-[9px] font-semibold tracking-wide uppercase px-2 py-0.5 rounded-full bg-accent/15 text-accent hover:bg-accent/25 transition-colors"
           >
             Update

app/src/components/StoriesTab/StoryChatItem.tsx

@@ -87,7 +87,7 @@ export function StoryChatItem({
               alt={`${item.profile_name} avatar`}
               className={cn(
                 'h-full w-full object-cover transition-all duration-200',
-                !isCurrentlyPlaying && 'grayscale'
+                !isCurrentlyPlaying && 'grayscale',
               )}
               onError={() => setAvatarError(true)}
             />
@@ -127,7 +127,10 @@ export function StoryChatItem({
               <Play className="mr-2 h-4 w-4" />
               Play from here
             </DropdownMenuItem>
-            <DropdownMenuItem onClick={onRemove} className="text-destructive focus:text-destructive">
+            <DropdownMenuItem
+              onClick={onRemove}
+              className="text-destructive focus:text-destructive"
+            >
               <Trash2 className="mr-2 h-4 w-4" />
               Remove from Story
             </DropdownMenuItem>
@@ -139,15 +142,12 @@ export function StoryChatItem({
 }
 
 // Sortable wrapper component
-export function SortableStoryChatItem(props: Omit<StoryChatItemProps, 'dragHandleProps' | 'isDragging'>) {
-  const {
-    attributes,
-    listeners,
-    setNodeRef,
-    transform,
-    transition,
-    isDragging,
-  } = useSortable({ id: props.item.generation_id });
+export function SortableStoryChatItem(
+  props: Omit<StoryChatItemProps, 'dragHandleProps' | 'isDragging'>,
+) {
+  const { attributes, listeners, setNodeRef, transform, transition, isDragging } = useSortable({
+    id: props.item.generation_id,
+  });
 
   const style = {
     transform: CSS.Transform.toString(transform),
@@ -156,11 +156,7 @@ export function SortableStoryChatItem(props: Omit<StoryChatItemProps, 'dragHandl
 
   return (
     <div ref={setNodeRef} style={style} {...attributes}>
-      <StoryChatItem
-        {...props}
-        dragHandleProps={listeners}
-        isDragging={isDragging}
-      />
+      <StoryChatItem {...props} dragHandleProps={listeners} isDragging={isDragging} />
     </div>
   );
 }

app/src/components/StoriesTab/StoryTrackEditor.tsx

@@ -500,7 +500,7 @@ export function StoryTrackEditor({ storyId, items }: StoryTrackEditorProps) {
   }, [trimmingItem, trimSide, tempTrimValues, storyId, trimItem, toast]);
 
   const handleSplit = useCallback(() => {
-    if (!selectedClipId) return;
+    if (!selectedClipId || splitItem.isPending) return;
 
     const item = items.find((i) => i.id === selectedClipId);
     if (!item) return;

app/src/components/VoiceProfiles/AudioSampleRecording.tsx

@@ -14,12 +14,7 @@ const MemoizedWaveform = memo(function MemoizedWaveform({
     <div className="absolute inset-0 pointer-events-none flex items-center justify-center opacity-30">
       <Visualizer audio={audioStream} autoStart strokeColor="#b39a3d">
         {({ canvasRef }) => (
-          <canvas
-            ref={canvasRef}
-            width={500}
-            height={150}
-            className="w-full h-full"
-          />
+          <canvas ref={canvasRef} width={500} height={150} className="w-full h-full" />
         )}
       </Visualizer>
     </div>
@@ -87,9 +82,7 @@ export function AudioSampleRecording({
         <div className="space-y-4">
           {!isRecording && !file && (
             <div className="relative flex flex-col items-center justify-center gap-4 p-4 border-2 border-dashed rounded-lg min-h-[180px] overflow-hidden">
-              {showWaveform && audioStream && (
-                <MemoizedWaveform audioStream={audioStream} />
-              )}
+              {showWaveform && audioStream && <MemoizedWaveform audioStream={audioStream} />}
               <Button
                 type="button"
                 onClick={onStart}
@@ -107,9 +100,7 @@ export function AudioSampleRecording({
 
           {isRecording && (
             <div className="relative flex flex-col items-center justify-center gap-4 p-4 border-2 border-accent rounded-lg bg-accent/5 min-h-[180px] overflow-hidden">
-              {showWaveform && audioStream && (
-                <MemoizedWaveform audioStream={audioStream} />
-              )}
+              {showWaveform && audioStream && <MemoizedWaveform audioStream={audioStream} />}
               <div className="relative z-10 flex items-center gap-4">
                 <div className="flex items-center gap-2">
                   <div className="h-3 w-3 rounded-full bg-accent animate-pulse" />

app/src/components/VoiceProfiles/ProfileCard.tsx

@@ -17,11 +17,18 @@ import { useDeleteProfile, useExportProfile } from '@/lib/hooks/useProfiles';
 import { cn } from '@/lib/utils/cn';
 import { useUIStore } from '@/stores/uiStore';
 
+/** Human-readable display names for preset engine badges. */
+const ENGINE_DISPLAY_NAMES: Record<string, string> = {
+  kokoro: 'Kokoro',
+  qwen_custom_voice: 'CustomVoice',
+};
+
 interface ProfileCardProps {
   profile: VoiceProfileResponse;
+  disabled?: boolean;
 }
 
-export function ProfileCard({ profile }: ProfileCardProps) {
+export function ProfileCard({ profile, disabled }: ProfileCardProps) {
   const [deleteDialogOpen, setDeleteDialogOpen] = useState(false);
 
   const deleteProfile = useDeleteProfile();
@@ -34,6 +41,12 @@ export function ProfileCard({ profile }: ProfileCardProps) {
   const isSelected = selectedProfileId === profile.id;
 
   const handleSelect = () => {
+    // If disabled but already selected, bounce the selection to re-trigger engine auto-switch
+    if (disabled && isSelected) {
+      setSelectedProfileId(null);
+      setTimeout(() => setSelectedProfileId(profile.id), 0);
+      return;
+    }
     setSelectedProfileId(isSelected ? null : profile.id);
   };
 
@@ -74,8 +87,9 @@ export function ProfileCard({ profile }: ProfileCardProps) {
     <>
       <Card
         className={cn(
-          'cursor-pointer hover:shadow-md transition-all flex flex-col h-[162px]',
-          isSelected && 'ring-2 ring-accent shadow-md',
+          'cursor-pointer transition-all flex flex-col h-[162px]',
+          disabled ? 'opacity-40 hover:opacity-60' : 'hover:shadow-md',
+          isSelected && !disabled && 'ring-2 ring-accent shadow-md',
         )}
         onClick={handleSelect}
         tabIndex={0}
@@ -97,6 +111,16 @@ export function ProfileCard({ profile }: ProfileCardProps) {
             <Badge variant="outline" className="text-xs h-5 px-1.5 text-muted-foreground">
               {profile.language}
             </Badge>
+            {profile.voice_type === 'preset' && (
+              <Badge variant="secondary" className="text-xs h-5 px-1.5">
+                {ENGINE_DISPLAY_NAMES[profile.preset_engine ?? ''] ?? profile.preset_engine}
+              </Badge>
+            )}
+            {profile.voice_type === 'designed' && (
+              <Badge variant="secondary" className="text-xs h-5 px-1.5">
+                designed
+              </Badge>
+            )}
             {profile.effects_chain && profile.effects_chain.length > 0 && (
               <Sparkles className="h-3.5 w-3.5 text-accent fill-accent" />
             )}

app/src/components/VoiceProfiles/ProfileForm.tsx

@@ -1,9 +1,11 @@
 import { zodResolver } from '@hookform/resolvers/zod';
-import { Edit2, Mic, Monitor, Upload, X } from 'lucide-react';
+import { useQuery } from '@tanstack/react-query';
+import { Edit2, Mic, Monitor, Music, Upload, X } from 'lucide-react';
 import { useEffect, useRef, useState } from 'react';
 import { useForm } from 'react-hook-form';
 import * as z from 'zod';
 import { EffectsChainEditor } from '@/components/Effects/EffectsChainEditor';
+import { Badge } from '@/components/ui/badge';
 import { Button } from '@/components/ui/button';
 import {
   Dialog,
@@ -15,6 +17,7 @@ import {
 import {
   Form,
   FormControl,
+  FormDescription,
   FormField,
   FormItem,
   FormLabel,
@@ -32,7 +35,7 @@ import { Tabs, TabsContent, TabsList, TabsTrigger } from '@/components/ui/tabs';
 import { Textarea } from '@/components/ui/textarea';
 import { useToast } from '@/components/ui/use-toast';
 import { apiClient } from '@/lib/api/client';
-import type { EffectConfig } from '@/lib/api/types';
+import type { EffectConfig, PresetVoice, VoiceType } from '@/lib/api/types';
 import { LANGUAGE_CODES, LANGUAGE_OPTIONS, type LanguageCode } from '@/lib/constants/languages';
 import { useAudioPlayer } from '@/lib/hooks/useAudioPlayer';
 import { useAudioRecording } from '@/lib/hooks/useAudioRecording';
@@ -40,6 +43,7 @@ import {
   useAddSample,
   useCreateProfile,
   useDeleteAvatar,
+  useDeleteProfile,
   useProfile,
   useUpdateProfile,
   useUploadAvatar,
@@ -56,6 +60,16 @@ import { AudioSampleUpload } from './AudioSampleUpload';
 import { SampleList } from './SampleList';
 
 const MAX_AUDIO_DURATION_SECONDS = 30;
+const PRESET_ONLY_ENGINES = new Set(['kokoro', 'qwen_custom_voice']);
+const DEFAULT_ENGINE_OPTIONS = [
+  { value: 'qwen', label: 'Qwen3-TTS' },
+  { value: 'qwen_custom_voice', label: 'Qwen CustomVoice' },
+  { value: 'luxtts', label: 'LuxTTS' },
+  { value: 'chatterbox', label: 'Chatterbox' },
+  { value: 'chatterbox_turbo', label: 'Chatterbox Turbo' },
+  { value: 'tada', label: 'TADA' },
+  { value: 'kokoro', label: 'Kokoro 82M' },
+] as const;
 
 const baseProfileSchema = z.object({
   name: z.string().min(1, 'Name is required').max(100),
@@ -116,20 +130,25 @@ export function ProfileForm() {
   const createProfile = useCreateProfile();
   const updateProfile = useUpdateProfile();
   const addSample = useAddSample();
+  const deleteProfile = useDeleteProfile();
   const uploadAvatar = useUploadAvatar();
   const deleteAvatar = useDeleteAvatar();
   const transcribe = useTranscription();
   const { toast } = useToast();
+  const [voiceSource, setVoiceSource] = useState<'clone' | 'builtin'>('clone');
   const [sampleMode, setSampleMode] = useState<'upload' | 'record' | 'system'>('record');
   const [audioDuration, setAudioDuration] = useState<number | null>(null);
   const [isValidatingAudio, setIsValidatingAudio] = useState(false);
   const [avatarPreview, setAvatarPreview] = useState<string | null>(null);
+  const [selectedPresetEngine, setSelectedPresetEngine] = useState<string>('kokoro');
+  const [selectedPresetVoiceId, setSelectedPresetVoiceId] = useState<string>('');
   const avatarInputRef = useRef<HTMLInputElement>(null);
   const { isPlaying, playPause, cleanup: cleanupAudio } = useAudioPlayer();
   const isCreating = !editingProfileId;
   const serverUrl = useServerStore((state) => state.serverUrl);
   const [profileEffectsChain, setProfileEffectsChain] = useState<EffectConfig[]>([]);
   const [effectsDirty, setEffectsDirty] = useState(false);
+  const [defaultEngine, setDefaultEngine] = useState<string>('');
 
   const form = useForm<ProfileFormValues>({
     resolver: zodResolver(profileSchema),
@@ -239,6 +258,26 @@ export function ProfileForm() {
     },
   });
 
+  // Fetch available preset voices for the selected engine
+  const presetEngineToQuery = isCreating
+    ? selectedPresetEngine
+    : (editingProfile?.preset_engine ?? '');
+  const { data: presetVoicesData } = useQuery({
+    queryKey: ['presetVoices', presetEngineToQuery],
+    queryFn: () => apiClient.listPresetVoices(presetEngineToQuery),
+    enabled:
+      !!presetEngineToQuery &&
+      ((voiceSource === 'builtin' && isCreating) ||
+        (!isCreating && editingProfile?.voice_type === 'preset')),
+  });
+  const presetVoices = presetVoicesData?.voices ?? [];
+  const isSampleBasedProfile = isCreating
+    ? voiceSource === 'clone'
+    : editingProfile?.voice_type !== 'preset';
+  const availableDefaultEngines = DEFAULT_ENGINE_OPTIONS.filter(
+    (option) => !isSampleBasedProfile || !PRESET_ONLY_ENGINES.has(option.value),
+  );
+
   // Show recording errors
   useEffect(() => {
     if (recordingError) {
@@ -287,6 +326,7 @@ export function ProfileForm() {
       });
       setProfileEffectsChain(editingProfile.effects_chain ?? []);
       setEffectsDirty(false);
+      setDefaultEngine(editingProfile.default_engine ?? '');
     } else if (profileFormDraft && open) {
       // Restore from draft when opening in create mode
       form.reset({
@@ -326,6 +366,24 @@ export function ProfileForm() {
     }
   }, [editingProfile, profileFormDraft, open, form]);
 
+  useEffect(() => {
+    if (
+      defaultEngine &&
+      !availableDefaultEngines.some((option) => option.value === defaultEngine)
+    ) {
+      setDefaultEngine('');
+    }
+  }, [availableDefaultEngines, defaultEngine]);
+
+  useEffect(() => {
+    if (!selectedPresetVoiceId) {
+      return;
+    }
+
+    if (!presetVoices.some((voice: PresetVoice) => voice.voice_id === selectedPresetVoiceId)) {
+      setSelectedPresetVoiceId('');
+    }
+  }, [presetVoices, selectedPresetVoiceId]);
   async function handleTranscribe() {
     const file = form.getValues('sampleFile');
     if (!file) {
@@ -415,13 +473,14 @@ export function ProfileForm() {
   async function onSubmit(data: ProfileFormValues) {
     try {
       if (editingProfileId) {
-        // Editing: just update profile
+        // Editing: update profile
         await updateProfile.mutateAsync({
           profileId: editingProfileId,
           data: {
             name: data.name,
             description: data.description,
             language: data.language,
+            default_engine: defaultEngine || undefined,
           },
         });
 
@@ -464,8 +523,50 @@ export function ProfileForm() {
           title: 'Voice updated',
           description: `"${data.name}" has been updated successfully.`,
         });
+      } else if (voiceSource === 'builtin') {
+        // Creating preset profile from built-in voice
+        if (!selectedPresetVoiceId) {
+          toast({
+            title: 'No voice selected',
+            description: 'Please select a built-in voice.',
+            variant: 'destructive',
+          });
+          return;
+        }
+
+        const profile = await createProfile.mutateAsync({
+          name: data.name,
+          description: data.description,
+          language: data.language,
+          voice_type: 'preset' as VoiceType,
+          preset_engine: selectedPresetEngine,
+          preset_voice_id: selectedPresetVoiceId,
+          default_engine: selectedPresetEngine,
+        });
+
+        // Handle avatar upload if provided
+        if (data.avatarFile) {
+          try {
+            await uploadAvatar.mutateAsync({
+              profileId: profile.id,
+              file: data.avatarFile,
+            });
+          } catch (avatarError) {
+            toast({
+              title: 'Avatar upload failed',
+              description:
+                avatarError instanceof Error ? avatarError.message : 'Failed to upload avatar',
+              variant: 'destructive',
+            });
+          }
+        }
+
+        toast({
+          title: 'Profile created',
+          description: `"${data.name}" has been created with a built-in voice.`,
+        });
       } else {
-        // Creating: require sample file and reference text
+        // Creating cloned profile: require sample file and reference text
         const sampleFile = form.getValues('sampleFile');
         const referenceText = form.getValues('referenceText');
 
@@ -528,6 +629,7 @@ export function ProfileForm() {
           name: data.name,
           description: data.description,
           language: data.language,
+          default_engine: defaultEngine || undefined,
         });
 
         // Convert non-WAV uploads to WAV so the backend can always use soundfile.
@@ -572,12 +674,32 @@ export function ProfileForm() {
             description: `"${data.name}" has been created with a sample.`,
           });
         } catch (sampleError) {
-          // Profile was created but sample failed - still show error
+          let rollbackSucceeded = false;
+          try {
+            await deleteProfile.mutateAsync(profile.id);
+            rollbackSucceeded = true;
+          } catch (rollbackError) {
+            toast({
+              title: 'Rollback failed',
+              description:
+                rollbackError instanceof Error
+                  ? rollbackError.message
+                  : 'Created profile could not be removed after sample upload failure.',
+              variant: 'destructive',
+            });
+          }
+
           toast({
             title: 'Failed to add sample',
-            description: `Profile "${data.name}" was created, but failed to add sample: ${sampleError instanceof Error ? sampleError.message : 'Unknown error'}`,
+            description:
+              sampleError instanceof Error
+                ? `${sampleError.message}${rollbackSucceeded ? ' The profile was rolled back.' : ''}`
+                : rollbackSucceeded
+                  ? 'Failed to add sample. The profile was rolled back.'
+                  : 'Failed to add sample.',
             variant: 'destructive',
           });
+          return;
         }
       }
 
@@ -642,16 +764,16 @@ export function ProfileForm() {
 
   return (
     <Dialog open={open} onOpenChange={handleOpenChange}>
-      <DialogContent className="max-w-none w-screen h-screen left-0 top-0 translate-x-0 translate-y-0 rounded-none p-6 overflow-y-auto">
-        <div className="max-w-5xl max-h-[85vh] mx-auto my-auto w-full flex flex-col">
+      <DialogContent className="max-w-none w-screen h-screen left-0 top-0 translate-x-0 translate-y-0 rounded-none p-6 overflow-hidden">
+        <div className="max-w-5xl h-[85vh] mx-auto my-auto w-full flex flex-col overflow-hidden">
           <DialogHeader>
             <DialogTitle className="text-2xl">
-              {editingProfileId ? 'Edit Voice' : 'Clone voice'}
+              {editingProfileId ? 'Edit Voice' : 'Create Voice'}
             </DialogTitle>
             <DialogDescription>
               {editingProfileId
                 ? 'Update your voice profile details and manage samples.'
-                : 'Create a new voice profile with an audio sample to clone the voice.'}
+                : 'Create a new voice profile from an audio sample or a built-in voice.'}
             </DialogDescription>
             {isCreating && profileFormDraft && (
               <div className="flex items-center gap-2 pt-2">
@@ -682,143 +804,276 @@ export function ProfileForm() {
 
           <Form {...form}>
             <form onSubmit={form.handleSubmit(onSubmit)} className="flex-1 min-h-0 flex flex-col">
-              <div className="grid gap-6 grid-cols-2 flex-1 overflow-y-auto min-h-0">
+              <div className="grid gap-6 grid-cols-2 flex-1 min-h-0 overflow-hidden">
                 {/* Left column: Sample management */}
-                <div className="space-y-4 border-r pr-6">
+                <div className="space-y-4 border-r pr-6 overflow-y-auto min-h-0">
                   {isCreating ? (
                     <>
-                      <Tabs
-                        className="pt-4"
-                        value={sampleMode}
-                        onValueChange={(v) => {
-                          const newMode = v as 'upload' | 'record' | 'system';
-                          // Cancel any active recordings when switching modes
-                          if (isRecording && newMode !== 'record') {
-                            cancelRecording();
-                          }
-                          if (isSystemRecording && newMode !== 'system') {
-                            cancelSystemRecording();
-                          }
-                          setSampleMode(newMode);
-                        }}
-                      >
-                        <TabsList
-                          className={`grid w-full ${platform.metadata.isTauri && isSystemAudioSupported ? 'grid-cols-3' : 'grid-cols-2'}`}
-                        >
-                          <TabsTrigger value="upload" className="flex items-center gap-2">
-                            <Upload className="h-4 w-4 shrink-0" />
-                            Upload
-                          </TabsTrigger>
-                          <TabsTrigger value="record" className="flex items-center gap-2">
-                            <Mic className="h-4 w-4 shrink-0" />
-                            Record
-                          </TabsTrigger>
-                          {platform.metadata.isTauri && isSystemAudioSupported && (
-                            <TabsTrigger value="system" className="flex items-center gap-2">
-                              <Monitor className="h-4 w-4 shrink-0" />
-                              System Audio
-                            </TabsTrigger>
-                          )}
-                        </TabsList>
+                      {/* Voice source selector */}
+                      <div className="flex pt-4 pb-2">
+                        <div className="inline-flex rounded-lg border border-border p-0.5 bg-muted/50">
+                          <button
+                            type="button"
+                            onClick={() => setVoiceSource('clone')}
+                            className={`inline-flex items-center gap-2 px-3 py-1.5 text-sm rounded-md transition-colors ${
+                              voiceSource === 'clone'
+                                ? 'bg-accent text-accent-foreground shadow-sm'
+                                : 'text-muted-foreground hover:text-foreground'
+                            }`}
+                          >
+                            <Mic className="h-3.5 w-3.5" />
+                            Clone from audio
+                          </button>
+                          <button
+                            type="button"
+                            onClick={() => setVoiceSource('builtin')}
+                            className={`inline-flex items-center gap-2 px-3 py-1.5 text-sm rounded-md transition-colors ${
+                              voiceSource === 'builtin'
+                                ? 'bg-accent text-accent-foreground shadow-sm'
+                                : 'text-muted-foreground hover:text-foreground'
+                            }`}
+                          >
+                            <Music className="h-3.5 w-3.5" />
+                            Built-in voice
+                          </button>
+                        </div>
+                      </div>
 
-                        <TabsContent value="upload" className="space-y-4">
-                          <FormField
-                            control={form.control}
-                            name="sampleFile"
-                            render={({ field: { onChange, name } }) => (
-                              <AudioSampleUpload
-                                file={selectedFile}
-                                onFileChange={onChange}
-                                onTranscribe={handleTranscribe}
-                                onPlayPause={handlePlayPause}
-                                isPlaying={isPlaying}
-                                isValidating={isValidatingAudio}
-                                isTranscribing={transcribe.isPending}
-                                isDisabled={
-                                  audioDuration !== null &&
-                                  audioDuration > MAX_AUDIO_DURATION_SECONDS
-                                }
-                                fieldName={name}
-                              />
-                            )}
-                          />
-                        </TabsContent>
+                      {voiceSource === 'builtin' ? (
+                        <div className="space-y-4">
+                          <FormDescription>
+                            Choose a pre-built voice. These don't require an audio sample.
+                          </FormDescription>
 
-                        <TabsContent value="record" className="space-y-4">
-                          <FormField
-                            control={form.control}
-                            name="sampleFile"
-                            render={() => (
-                              <AudioSampleRecording
-                                file={selectedFile}
-                                isRecording={isRecording}
-                                duration={duration}
-                                onStart={startRecording}
-                                onStop={stopRecording}
-                                onCancel={handleCancelRecording}
-                                onTranscribe={handleTranscribe}
-                                onPlayPause={handlePlayPause}
-                                isPlaying={isPlaying}
-                                isTranscribing={transcribe.isPending}
-                              />
-                            )}
-                          />
-                        </TabsContent>
-
-                        {platform.metadata.isTauri && isSystemAudioSupported && (
-                          <TabsContent value="system" className="space-y-4">
-                            <FormField
-                              control={form.control}
-                              name="sampleFile"
-                              render={() => (
-                                <AudioSampleSystem
-                                  file={selectedFile}
-                                  isRecording={isSystemRecording}
-                                  duration={systemDuration}
-                                  onStart={startSystemRecording}
-                                  onStop={stopSystemRecording}
-                                  onCancel={handleCancelRecording}
-                                  onTranscribe={handleTranscribe}
-                                  onPlayPause={handlePlayPause}
-                                  isPlaying={isPlaying}
-                                  isTranscribing={transcribe.isPending}
-                                />
-                              )}
-                            />
-                          </TabsContent>
-                        )}
-                      </Tabs>
-
-                      <FormField
-                        control={form.control}
-                        name="referenceText"
-                        render={({ field }) => (
+                          {/* Engine selector */}
                           <FormItem>
-                            <FormLabel>Reference Text</FormLabel>
-                            <FormControl>
-                              <Textarea
-                                placeholder="Enter the exact text spoken in the audio..."
-                                className="min-h-[100px]"
-                                {...field}
-                              />
-                            </FormControl>
-                            <FormMessage />
+                            <FormLabel>Engine</FormLabel>
+                            <Select
+                              value={selectedPresetEngine}
+                              onValueChange={setSelectedPresetEngine}
+                            >
+                              <FormControl>
+                                <SelectTrigger>
+                                  <SelectValue />
+                                </SelectTrigger>
+                              </FormControl>
+                              <SelectContent>
+                                <SelectItem value="kokoro">Kokoro 82M</SelectItem>
+                                <SelectItem value="qwen_custom_voice">Qwen CustomVoice</SelectItem>
+                              </SelectContent>
+                            </Select>
                           </FormItem>
-                        )}
-                      />
+
+                          {/* Voice picker */}
+                          <FormItem>
+                            <FormLabel>Voice</FormLabel>
+                            <div className="grid grid-cols-2 gap-1.5 max-h-[340px] overflow-y-auto pr-1">
+                              {presetVoices.map((voice: PresetVoice) => (
+                                <button
+                                  key={voice.voice_id}
+                                  type="button"
+                                  onClick={() => {
+                                    setSelectedPresetVoiceId(voice.voice_id);
+                                    // Auto-set language from voice
+                                    if (voice.language) {
+                                      form.setValue('language', voice.language as LanguageCode);
+                                    }
+                                  }}
+                                  className={`text-left px-3 py-2 rounded-md border text-sm transition-colors ${
+                                    selectedPresetVoiceId === voice.voice_id
+                                      ? 'border-accent bg-accent/10 text-accent-foreground'
+                                      : 'border-border hover:bg-muted'
+                                  }`}
+                                >
+                                  <div className="font-medium">{voice.name}</div>
+                                  <div className="flex gap-1.5 mt-0.5">
+                                    <Badge variant="outline" className="text-[10px] h-4 px-1">
+                                      {voice.gender}
+                                    </Badge>
+                                    <Badge variant="outline" className="text-[10px] h-4 px-1">
+                                      {voice.language}
+                                    </Badge>
+                                  </div>
+                                </button>
+                              ))}
+                            </div>
+                          </FormItem>
+                        </div>
+                      ) : (
+                        <>
+                          <Tabs
+                            className="pt-0"
+                            value={sampleMode}
+                            onValueChange={(v) => {
+                              const newMode = v as 'upload' | 'record' | 'system';
+                              // Cancel any active recordings when switching modes
+                              if (isRecording && newMode !== 'record') {
+                                cancelRecording();
+                              }
+                              if (isSystemRecording && newMode !== 'system') {
+                                cancelSystemRecording();
+                              }
+                              setSampleMode(newMode);
+                            }}
+                          >
+                            <TabsList
+                              className={`grid w-full ${platform.metadata.isTauri && isSystemAudioSupported ? 'grid-cols-3' : 'grid-cols-2'}`}
+                            >
+                              <TabsTrigger value="upload" className="flex items-center gap-2">
+                                <Upload className="h-4 w-4 shrink-0" />
+                                Upload
+                              </TabsTrigger>
+                              <TabsTrigger value="record" className="flex items-center gap-2">
+                                <Mic className="h-4 w-4 shrink-0" />
+                                Record
+                              </TabsTrigger>
+                              {platform.metadata.isTauri && isSystemAudioSupported && (
+                                <TabsTrigger value="system" className="flex items-center gap-2">
+                                  <Monitor className="h-4 w-4 shrink-0" />
+                                  System Audio
+                                </TabsTrigger>
+                              )}
+                            </TabsList>
+
+                            <TabsContent value="upload" className="space-y-4">
+                              <FormField
+                                control={form.control}
+                                name="sampleFile"
+                                render={({ field: { onChange, name } }) => (
+                                  <AudioSampleUpload
+                                    file={selectedFile}
+                                    onFileChange={onChange}
+                                    onTranscribe={handleTranscribe}
+                                    onPlayPause={handlePlayPause}
+                                    isPlaying={isPlaying}
+                                    isValidating={isValidatingAudio}
+                                    isTranscribing={transcribe.isPending}
+                                    isDisabled={
+                                      audioDuration !== null &&
+                                      audioDuration > MAX_AUDIO_DURATION_SECONDS
+                                    }
+                                    fieldName={name}
+                                  />
+                                )}
+                              />
+                            </TabsContent>
+
+                            <TabsContent value="record" className="space-y-4">
+                              <FormField
+                                control={form.control}
+                                name="sampleFile"
+                                render={() => (
+                                  <AudioSampleRecording
+                                    file={selectedFile}
+                                    isRecording={isRecording}
+                                    duration={duration}
+                                    onStart={startRecording}
+                                    onStop={stopRecording}
+                                    onCancel={handleCancelRecording}
+                                    onTranscribe={handleTranscribe}
+                                    onPlayPause={handlePlayPause}
+                                    isPlaying={isPlaying}
+                                    isTranscribing={transcribe.isPending}
+                                  />
+                                )}
+                              />
+                            </TabsContent>
+
+                            {platform.metadata.isTauri && isSystemAudioSupported && (
+                              <TabsContent value="system" className="space-y-4">
+                                <FormField
+                                  control={form.control}
+                                  name="sampleFile"
+                                  render={() => (
+                                    <AudioSampleSystem
+                                      file={selectedFile}
+                                      isRecording={isSystemRecording}
+                                      duration={systemDuration}
+                                      onStart={startSystemRecording}
+                                      onStop={stopSystemRecording}
+                                      onCancel={handleCancelRecording}
+                                      onTranscribe={handleTranscribe}
+                                      onPlayPause={handlePlayPause}
+                                      isPlaying={isPlaying}
+                                      isTranscribing={transcribe.isPending}
+                                    />
+                                  )}
+                                />
+                              </TabsContent>
+                            )}
+                          </Tabs>
+
+                          <FormField
+                            control={form.control}
+                            name="referenceText"
+                            render={({ field }) => (
+                              <FormItem>
+                                <FormLabel>Reference Text</FormLabel>
+                                <FormControl>
+                                  <Textarea
+                                    placeholder="Enter the exact text spoken in the audio..."
+                                    className="min-h-[100px]"
+                                    {...field}
+                                  />
+                                </FormControl>
+                                <FormMessage />
+                              </FormItem>
+                            )}
+                          />
+                        </>
+                      )}
                     </>
                   ) : (
-                    // Show sample list when editing
-                    editingProfileId && (
+                    // Editing mode
+                    editingProfileId &&
+                    editingProfile &&
+                    (editingProfile.voice_type === 'preset' ? (
+                      <div className="space-y-4 pt-4">
+                        <div className="rounded-lg border border-border p-4 space-y-3">
+                          <div className="text-sm font-medium text-muted-foreground">
+                            Built-in Voice
+                          </div>
+                          <div className="flex items-center gap-3">
+                            <div className="text-lg font-semibold">
+                              {presetVoices.find(
+                                (v: PresetVoice) => v.voice_id === editingProfile.preset_voice_id,
+                              )?.name ?? editingProfile.preset_voice_id}
+                            </div>
+                            <Badge variant="secondary" className="text-xs">
+                              {editingProfile.preset_engine}
+                            </Badge>
+                          </div>
+                          {(() => {
+                            const voice = presetVoices.find(
+                              (v: PresetVoice) => v.voice_id === editingProfile.preset_voice_id,
+                            );
+                            return voice ? (
+                              <div className="flex gap-1.5">
+                                <Badge variant="outline" className="text-xs">
+                                  {voice.gender}
+                                </Badge>
+                                <Badge variant="outline" className="text-xs">
+                                  {voice.language}
+                                </Badge>
+                              </div>
+                            ) : null;
+                          })()}
+                        </div>
+                        <p className="text-xs text-muted-foreground">
+                          This profile uses a built-in voice. The voice cannot be changed after
+                          creation.
+                        </p>
+                      </div>
+                    ) : (
                       <div>
                         <SampleList profileId={editingProfileId} />
                       </div>
-                    )
+                    ))
                   )}
                 </div>
 
                 {/* Right column: Profile info */}
-                <div className="space-y-4">
+                <div className="space-y-4 overflow-y-auto min-h-0">
                   {/* Avatar Upload */}
                   <FormField
                     control={form.control}
@@ -924,6 +1179,36 @@ export function ProfileForm() {
                     )}
                   />
 
+                  <FormItem>
+                    <FormLabel>Default Engine</FormLabel>
+                    <Select
+                      value={defaultEngine || '_none'}
+                      onValueChange={(v) => {
+                        setDefaultEngine(v === '_none' ? '' : v);
+                      }}
+                      disabled={
+                        voiceSource === 'builtin' || editingProfile?.voice_type === 'preset'
+                      }
+                    >
+                      <FormControl>
+                        <SelectTrigger>
+                          <SelectValue placeholder="No preference" />
+                        </SelectTrigger>
+                      </FormControl>
+                      <SelectContent>
+                        <SelectItem value="_none">No preference</SelectItem>
+                        {availableDefaultEngines.map((option) => (
+                          <SelectItem key={option.value} value={option.value}>
+                            {option.label}
+                          </SelectItem>
+                        ))}
+                      </SelectContent>
+                    </Select>
+                    <p className="text-xs text-muted-foreground">
+                      Auto-selects this engine when the profile is chosen.
+                    </p>
+                  </FormItem>
+
                   {editingProfileId && (
                     <div className="space-y-2">
                       <FormLabel>Default Effects</FormLabel>

app/src/components/VoiceProfiles/ProfileList.tsx

@@ -1,4 +1,5 @@
-import { Mic, Sparkles } from 'lucide-react';
+import { Info, Mic, Sparkles } from 'lucide-react';
+import { useEffect, useRef } from 'react';
 import { Button } from '@/components/ui/button';
 import { Card, CardContent } from '@/components/ui/card';
 import { useProfiles } from '@/lib/hooks/useProfiles';
@@ -6,9 +7,36 @@ import { useUIStore } from '@/stores/uiStore';
 import { ProfileCard } from './ProfileCard';
 import { ProfileForm } from './ProfileForm';
 
+/** Engines that use preset (built-in) voices instead of cloned profiles. */
+const PRESET_ENGINES = new Set(['kokoro', 'qwen_custom_voice']);
+
 export function ProfileList() {
   const { data: profiles, isLoading, error } = useProfiles();
   const setDialogOpen = useUIStore((state) => state.setProfileDialogOpen);
+  const selectedEngine = useUIStore((state) => state.selectedEngine);
+  const selectedProfileId = useUIStore((state) => state.selectedProfileId);
+  const cardRefs = useRef<Map<string, HTMLDivElement>>(new Map());
+
+  // Scroll to the selected profile after engine/sort changes
+  useEffect(() => {
+    if (!selectedProfileId) return;
+    let timeoutId: ReturnType<typeof setTimeout> | null = null;
+    const rafId = requestAnimationFrame(() => {
+      const el = cardRefs.current.get(selectedProfileId);
+      if (!el) return;
+
+      // Temporarily apply scroll-margin so it doesn't land flush at the top
+      el.style.scrollMarginTop = '180px';
+      el.scrollIntoView({ behavior: 'smooth', block: 'nearest', inline: 'nearest' });
+      timeoutId = setTimeout(() => {
+        el.style.scrollMarginTop = '';
+      }, 500);
+    });
+    return () => {
+      cancelAnimationFrame(rafId);
+      if (timeoutId) clearTimeout(timeoutId);
+    };
+  }, [selectedProfileId, selectedEngine]);
 
   if (isLoading) {
     return null;
@@ -23,6 +51,20 @@ export function ProfileList() {
   }
 
   const allProfiles = profiles || [];
+  const isPresetEngine = PRESET_ENGINES.has(selectedEngine);
+
+  /** Whether a profile is supported by the currently selected engine. */
+  const isSupported = (p: (typeof allProfiles)[number]) =>
+    isPresetEngine
+      ? p.voice_type === 'preset' && p.preset_engine === selectedEngine
+      : p.voice_type !== 'preset';
+
+  // Sort so supported profiles come first
+  const sortedProfiles = [...allProfiles].sort(
+    (a, b) => (isSupported(a) ? 0 : 1) - (isSupported(b) ? 0 : 1),
+  );
+
+  const hasUnsupported = sortedProfiles.some((p) => !isSupported(p));
 
   return (
     <div className="flex flex-col">
@@ -42,11 +84,24 @@ export function ProfileList() {
           </Card>
         ) : (
           <div className="flex gap-4 overflow-x-auto p-1 pb-1 lg:grid lg:grid-cols-3 lg:auto-rows-auto lg:overflow-x-visible lg:pb-[150px]">
-            {allProfiles.map((profile) => (
-              <div key={profile.id} className="shrink-0 w-[200px] lg:w-auto lg:shrink">
-                <ProfileCard profile={profile} />
+            {sortedProfiles.map((profile) => (
+              <div
+                key={profile.id}
+                className="shrink-0 w-[200px] lg:w-auto lg:shrink"
+                ref={(el) => {
+                  if (el) cardRefs.current.set(profile.id, el);
+                  else cardRefs.current.delete(profile.id);
+                }}
+              >
+                <ProfileCard profile={profile} disabled={!isSupported(profile)} />
               </div>
             ))}
+            {hasUnsupported && (
+              <div className="col-span-full flex items-center gap-2 text-xs text-muted-foreground py-2">
+                <Info className="h-3.5 w-3.5 shrink-0" />
+                <span>Only supported voice profiles can be selected for the current model.</span>
+              </div>
+            )}
           </div>
         )}
       </div>

app/src/components/ui/alert-dialog.tsx

@@ -111,4 +111,4 @@ export {
   AlertDialogDescription,
   AlertDialogAction,
   AlertDialogCancel,
-};
+};

app/src/components/ui/slider.tsx

@@ -1,5 +1,5 @@
-import * as React from 'react';
 import * as SliderPrimitive from '@radix-ui/react-slider';
+import * as React from 'react';
 import { cn } from '@/lib/utils/cn';
 
 const Slider = React.forwardRef<
@@ -14,7 +14,7 @@ const Slider = React.forwardRef<
     <SliderPrimitive.Track className="relative h-2 w-full grow overflow-hidden rounded-full bg-secondary">
       <SliderPrimitive.Range className="absolute h-full bg-primary" />
     </SliderPrimitive.Track>
-    <SliderPrimitive.Thumb className="block h-5 w-5 rounded-full border-2 border-primary bg-background ring-offset-background transition-colors focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2 disabled:pointer-events-none disabled:opacity-50 translate-x-0.5" />
+    <SliderPrimitive.Thumb className="block h-0 w-0 outline-none disabled:pointer-events-none disabled:opacity-50 after:block after:h-5 after:w-5 after:rounded-full after:border-2 after:border-primary after:bg-background after:ring-offset-background after:transition-colors after:absolute after:top-1/2 after:left-1/2 after:-translate-x-1/2 after:-translate-y-1/2 focus-visible:after:ring-2 focus-visible:after:ring-ring focus-visible:after:ring-offset-2" />
   </SliderPrimitive.Root>
 ));
 Slider.displayName = SliderPrimitive.Root.displayName;

app/src/components/ui/toaster.tsx

@@ -1,3 +1,4 @@
+import { usePlayerStore } from '@/stores/playerStore';
 import {
   Toast,
   ToastClose,
@@ -10,6 +11,7 @@ import { useToast } from './use-toast';
 
 export function Toaster() {
   const { toasts } = useToast();
+  const isPlayerOpen = !!usePlayerStore((s) => s.audioUrl);
 
   return (
     <ToastProvider>
@@ -23,7 +25,7 @@ export function Toaster() {
           <ToastClose />
         </Toast>
       ))}
-      <ToastViewport />
+      <ToastViewport className={isPlayerOpen ? 'sm:bottom-44' : ''} />
     </ToastProvider>
   );
 }

app/src/components/ui/toggle.tsx

@@ -0,0 +1,48 @@
+import * as React from 'react';
+import { cn } from '@/lib/utils/cn';
+
+export interface ToggleProps {
+  checked?: boolean;
+  onCheckedChange?: (checked: boolean) => void;
+  disabled?: boolean;
+  className?: string;
+  id?: string;
+}
+
+const Toggle = React.forwardRef<HTMLButtonElement, ToggleProps>(
+  ({ checked = false, onCheckedChange, disabled = false, className, id, ...props }, ref) => {
+    return (
+      <button
+        type="button"
+        ref={ref}
+        id={id}
+        role="switch"
+        aria-checked={checked}
+        disabled={disabled}
+        onClick={() => {
+          if (!disabled && onCheckedChange) {
+            onCheckedChange(!checked);
+          }
+        }}
+        className={cn(
+          'relative inline-flex h-5 w-9 shrink-0 items-center rounded-full transition-colors',
+          'focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-offset-2',
+          checked ? 'bg-accent' : 'bg-muted-foreground/25',
+          disabled ? 'opacity-50 cursor-not-allowed' : 'cursor-pointer',
+          className,
+        )}
+        {...props}
+      >
+        <span
+          className={cn(
+            'pointer-events-none block h-4 w-4 rounded-full bg-white shadow-sm transition-transform',
+            checked ? 'translate-x-[18px]' : 'translate-x-[2px]',
+          )}
+        />
+      </button>
+    );
+  },
+);
+Toggle.displayName = 'Toggle';
+
+export { Toggle };

app/src/global.d.ts

@@ -1,3 +1,8 @@
 interface Window {
   __voiceboxServerStartedByApp?: boolean;
 }
+
+declare module 'virtual:changelog' {
+  const raw: string;
+  export default raw;
+}

app/src/lib/api/client.ts

@@ -17,6 +17,7 @@ import type {
   HistoryResponse,
   ModelDownloadRequest,
   ModelStatusListResponse,
+  PresetVoice,
   ProfileSampleResponse,
   StoryCreate,
   StoryDetailResponse,
@@ -32,8 +33,24 @@ import type {
   TranscriptionResponse,
   VoiceProfileCreate,
   VoiceProfileResponse,
+  WhisperModelSize,
 } from './types';
 
+function formatErrorDetail(detail: unknown, fallback: string): string {
+  if (typeof detail === 'string') return detail;
+  if (Array.isArray(detail)) {
+    return detail
+      .map((e: Record<string, unknown>) => e.msg || e.message || JSON.stringify(e))
+      .join('; ');
+  }
+  if (detail && typeof detail === 'object') {
+    const obj = detail as Record<string, unknown>;
+    if (typeof obj.message === 'string') return obj.message;
+    return JSON.stringify(detail);
+  }
+  return fallback;
+}
+
 class ApiClient {
   private getBaseUrl(): string {
     const serverUrl = useServerStore.getState().serverUrl;
@@ -54,7 +71,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.json();
@@ -81,6 +98,10 @@ class ApiClient {
     return this.request<VoiceProfileResponse>(`/profiles/${profileId}`);
   }
 
+  async listPresetVoices(engine: string): Promise<{ engine: string; voices: PresetVoice[] }> {
+    return this.request<{ engine: string; voices: PresetVoice[] }>(`/profiles/presets/${engine}`);
+  }
+
   async updateProfile(profileId: string, data: VoiceProfileCreate): Promise<VoiceProfileResponse> {
     return this.request<VoiceProfileResponse>(`/profiles/${profileId}`, {
       method: 'PUT',
@@ -113,7 +134,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.json();
@@ -147,7 +168,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.blob();
@@ -167,7 +188,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.json();
@@ -187,7 +208,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.json();
@@ -249,6 +270,12 @@ class ApiClient {
     });
   }
 
+  async clearFailedGenerations(): Promise<{ deleted: number }> {
+    return this.request<{ deleted: number }>(`/history/failed`, {
+      method: 'DELETE',
+    });
+  }
+
   async exportGeneration(generationId: string): Promise<Blob> {
     const url = `${this.getBaseUrl()}/history/${generationId}/export`;
     const response = await fetch(url);
@@ -257,7 +284,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.blob();
@@ -271,7 +298,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.blob();
@@ -297,7 +324,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.json();
@@ -318,12 +345,19 @@ class ApiClient {
   }
 
   // Transcription
-  async transcribeAudio(file: File, language?: LanguageCode): Promise<TranscriptionResponse> {
+  async transcribeAudio(
+    file: File,
+    language?: LanguageCode,
+    model?: WhisperModelSize,
+  ): Promise<TranscriptionResponse> {
     const formData = new FormData();
     formData.append('file', file);
     if (language) {
       formData.append('language', language);
     }
+    if (model) {
+      formData.append('model', model);
+    }
 
     const url = `${this.getBaseUrl()}/transcribe`;
     const response = await fetch(url, {
@@ -335,7 +369,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.json();
@@ -608,7 +642,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.blob();
@@ -705,7 +739,7 @@ class ApiClient {
       const error = await response.json().catch(() => ({
         detail: response.statusText,
       }));
-      throw new Error(error.detail || `HTTP error! status: ${response.status}`);
+      throw new Error(formatErrorDetail(error.detail, `HTTP error! status: ${response.status}`));
     }
 
     return response.blob();

app/src/lib/api/types.ts

@@ -1,10 +1,17 @@
 // API Types matching backend Pydantic models
 import type { LanguageCode } from '@/lib/constants/languages';
 
+export type VoiceType = 'cloned' | 'preset' | 'designed';
+
 export interface VoiceProfileCreate {
   name: string;
   description?: string;
   language: LanguageCode;
+  voice_type?: VoiceType;
+  preset_engine?: string;
+  preset_voice_id?: string;
+  design_prompt?: string;
+  default_engine?: string;
 }
 
 export interface VoiceProfileResponse {
@@ -14,12 +21,24 @@ export interface VoiceProfileResponse {
   language: string;
   avatar_path?: string;
   effects_chain?: EffectConfig[];
+  voice_type: VoiceType;
+  preset_engine?: string;
+  preset_voice_id?: string;
+  design_prompt?: string;
+  default_engine?: string;
   generation_count: number;
   sample_count: number;
   created_at: string;
   updated_at: string;
 }
 
+export interface PresetVoice {
+  voice_id: string;
+  name: string;
+  gender: 'male' | 'female';
+  language: string;
+}
+
 export interface ProfileSampleCreate {
   reference_text: string;
 }
@@ -42,8 +61,15 @@ export interface GenerationRequest {
   text: string;
   language: LanguageCode;
   seed?: number;
-  model_size?: '1.7B' | '0.6B';
-  engine?: 'qwen' | 'luxtts' | 'chatterbox' | 'chatterbox_turbo';
+  model_size?: '1.7B' | '0.6B' | '1B' | '3B';
+  engine?:
+    | 'qwen'
+    | 'qwen_custom_voice'
+    | 'luxtts'
+    | 'chatterbox'
+    | 'chatterbox_turbo'
+    | 'tada'
+    | 'kokoro';
   instruct?: string;
   max_chunk_chars?: number;
   crossfade_ms?: number;
@@ -99,8 +125,11 @@ export interface HistoryListResponse {
   total: number;
 }
 
+export type WhisperModelSize = 'base' | 'small' | 'medium' | 'large' | 'turbo';
+
 export interface TranscriptionRequest {
   language?: LanguageCode;
+  model?: WhisperModelSize;
 }
 
 export interface TranscriptionResponse {

app/src/lib/constants/languages.ts

@@ -5,6 +5,7 @@
  * LuxTTS is English-only.
  * Chatterbox Multilingual supports 23 languages.
  * Chatterbox Turbo is English-only.
+ * Kokoro supports 8 languages.
  */
 
 /** All languages that any engine supports. */
@@ -66,6 +67,9 @@ export const ENGINE_LANGUAGES: Record<string, readonly LanguageCode[]> = {
     'zh',
   ],
   chatterbox_turbo: ['en'],
+  tada: ['en', 'ar', 'zh', 'de', 'es', 'fr', 'it', 'ja', 'pl', 'pt'],
+  kokoro: ['en', 'es', 'fr', 'hi', 'it', 'pt', 'ja', 'zh'],
+  qwen_custom_voice: ['zh', 'en', 'ja', 'ko', 'de', 'fr', 'ru', 'pt', 'es', 'it'],
 } as const;
 
 /** Helper: get language options for a given engine. */

app/src/lib/hooks/useGenerationForm.ts

@@ -10,14 +10,25 @@ import { useGeneration } from '@/lib/hooks/useGeneration';
 import { useModelDownloadToast } from '@/lib/hooks/useModelDownloadToast';
 import { useGenerationStore } from '@/stores/generationStore';
 import { useServerStore } from '@/stores/serverStore';
+import { useUIStore } from '@/stores/uiStore';
 
 const generationSchema = z.object({
   text: z.string().min(1, '').max(50000),
   language: z.enum(LANGUAGE_CODES as [LanguageCode, ...LanguageCode[]]),
   seed: z.number().int().optional(),
-  modelSize: z.enum(['1.7B', '0.6B']).optional(),
+  modelSize: z.enum(['1.7B', '0.6B', '1B', '3B']).optional(),
   instruct: z.string().max(500).optional(),
-  engine: z.enum(['qwen', 'luxtts', 'chatterbox', 'chatterbox_turbo']).optional(),
+  engine: z
+    .enum([
+      'qwen',
+      'qwen_custom_voice',
+      'luxtts',
+      'chatterbox',
+      'chatterbox_turbo',
+      'tada',
+      'kokoro',
+    ])
+    .optional(),
 });
 
 export type GenerationFormValues = z.infer<typeof generationSchema>;
@@ -35,6 +46,7 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
   const maxChunkChars = useServerStore((state) => state.maxChunkChars);
   const crossfadeMs = useServerStore((state) => state.crossfadeMs);
   const normalizeAudio = useServerStore((state) => state.normalizeAudio);
+  const selectedEngine = useUIStore((state) => state.selectedEngine);
   const [downloadingModelName, setDownloadingModelName] = useState<string | null>(null);
   const [downloadingDisplayName, setDownloadingDisplayName] = useState<string | null>(null);
 
@@ -52,7 +64,7 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
       seed: undefined,
       modelSize: '1.7B',
       instruct: '',
-      engine: 'qwen',
+      engine: (selectedEngine as GenerationFormValues['engine']) || 'qwen',
       ...options.defaultValues,
     },
   });
@@ -79,7 +91,15 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
             ? 'chatterbox-tts'
             : engine === 'chatterbox_turbo'
               ? 'chatterbox-turbo'
-              : `qwen-tts-${data.modelSize}`;
+              : engine === 'tada'
+                ? data.modelSize === '3B'
+                  ? 'tada-3b-ml'
+                  : 'tada-1b'
+                : engine === 'kokoro'
+                  ? 'kokoro'
+                  : engine === 'qwen_custom_voice'
+                    ? `qwen-custom-voice-${data.modelSize}`
+                    : `qwen-tts-${data.modelSize}`;
       const displayName =
         engine === 'luxtts'
           ? 'LuxTTS'
@@ -87,9 +107,19 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
             ? 'Chatterbox TTS'
             : engine === 'chatterbox_turbo'
               ? 'Chatterbox Turbo'
-              : data.modelSize === '1.7B'
-                ? 'Qwen TTS 1.7B'
-                : 'Qwen TTS 0.6B';
+              : engine === 'tada'
+                ? data.modelSize === '3B'
+                  ? 'TADA 3B Multilingual'
+                  : 'TADA 1B'
+                : engine === 'kokoro'
+                  ? 'Kokoro 82M'
+                  : engine === 'qwen_custom_voice'
+                    ? data.modelSize === '1.7B'
+                      ? 'Qwen CustomVoice 1.7B'
+                      : 'Qwen CustomVoice 0.6B'
+                    : data.modelSize === '1.7B'
+                      ? 'Qwen TTS 1.7B'
+                      : 'Qwen TTS 0.6B';
 
       // Check if model needs downloading
       try {
@@ -104,7 +134,11 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
         console.error('Failed to check model status:', error);
       }
 
-      const isQwen = engine === 'qwen';
+      const hasModelSizes =
+        engine === 'qwen' || engine === 'qwen_custom_voice' || engine === 'tada';
+      // Only Qwen CustomVoice actually honors the instruct kwarg at model level.
+      // Base Qwen3-TTS accepts the kwarg but ignores it.
+      const supportsInstruct = engine === 'qwen_custom_voice';
       const effectsChain = options.getEffectsChain?.();
       // This now returns immediately with status="generating"
       const result = await generation.mutateAsync({
@@ -112,9 +146,9 @@ export function useGenerationForm(options: UseGenerationFormOptions = {}) {
         text: data.text,
         language: data.language,
         seed: data.seed,
-        model_size: isQwen ? data.modelSize : undefined,
+        model_size: hasModelSizes ? data.modelSize : undefined,
         engine,
-        instruct: isQwen ? data.instruct || undefined : undefined,
+        instruct: supportsInstruct ? data.instruct || undefined : undefined,
         max_chunk_chars: maxChunkChars,
         crossfade_ms: crossfadeMs,
         normalize: normalizeAudio,

app/src/lib/hooks/useGenerationProgress.ts

@@ -75,8 +75,8 @@ export function useGenerationProgress() {
             currentSources.delete(id);
             removePendingGeneration(id);
 
-            // Refresh history to pick up the completed generation
-            queryClient.invalidateQueries({ queryKey: ['history'] });
+            // Refetch history to pick up the completed generation
+            queryClient.refetchQueries({ queryKey: ['history'] });
 
             // If this generation was queued for a story, add it now
             const storyId = removePendingStoryAdd(id);
@@ -120,7 +120,7 @@ export function useGenerationProgress() {
             removePendingGeneration(id);
             removePendingStoryAdd(id);
 
-            queryClient.invalidateQueries({ queryKey: ['history'] });
+            queryClient.refetchQueries({ queryKey: ['history'] });
 
             toast({
               title: data.status === 'not_found' ? 'Generation not found' : 'Generation failed',
@@ -134,11 +134,12 @@ export function useGenerationProgress() {
       };
 
       source.onerror = () => {
-        // EventSource auto-reconnects, but if we get repeated errors
-        // just clean up
+        // SSE connection dropped — clean up and refresh history so any
+        // completed/failed generation still appears in the list
         source.close();
         currentSources.delete(id);
         removePendingGeneration(id);
+        queryClient.refetchQueries({ queryKey: ['history'] });
       };
 
       currentSources.set(id, source);

app/src/lib/hooks/useHistory.ts

@@ -29,6 +29,17 @@ export function useDeleteGeneration() {
   });
 }
 
+export function useClearFailedGenerations() {
+  const queryClient = useQueryClient();
+
+  return useMutation({
+    mutationFn: () => apiClient.clearFailedGenerations(),
+    onSuccess: () => {
+      queryClient.invalidateQueries({ queryKey: ['history'] });
+    },
+  });
+}
+
 export function useExportGeneration() {
   const platform = usePlatform();
 

app/src/lib/hooks/useModelDownloadToast.tsx

@@ -131,7 +131,8 @@ export function useModelDownloadToast({
                 )}
               </div>
             ),
-            duration: progress.status === 'complete' || progress.status === 'error' ? 5000 : Infinity,
+            duration:
+              progress.status === 'complete' || progress.status === 'error' ? 5000 : Infinity,
           });
 
           // Close connection and dismiss toast on completion or error

app/src/lib/hooks/useSystemAudioCapture.ts

@@ -1,4 +1,4 @@
-import { useState, useRef, useCallback, useEffect } from 'react';
+import { useCallback, useEffect, useRef, useState } from 'react';
 import { usePlatform } from '@/platform/PlatformContext';
 
 interface UseSystemAudioCaptureOptions {
@@ -26,8 +26,24 @@ export function useSystemAudioCapture({
 
   // Check if system audio capture is supported
   useEffect(() => {
-    const supported = platform.audio.isSystemAudioSupported();
-    setIsSupported(supported);
+    let isActive = true;
+
+    void platform.audio
+      .isSystemAudioSupported()
+      .then((supported) => {
+        if (isActive) {
+          setIsSupported(supported);
+        }
+      })
+      .catch(() => {
+        if (isActive) {
+          setIsSupported(false);
+        }
+      });
+
+    return () => {
+      isActive = false;
+    };
   }, [platform]);
 
   const startRecording = useCallback(async () => {
@@ -94,15 +110,13 @@ export function useSystemAudioCapture({
       const blob = await platform.audio.stopSystemAudioCapture();
 
       // Pass the actual recorded duration
-      const recordedDuration = startTimeRef.current 
-        ? (Date.now() - startTimeRef.current) / 1000 
+      const recordedDuration = startTimeRef.current
+        ? (Date.now() - startTimeRef.current) / 1000
         : undefined;
       onRecordingComplete?.(blob, recordedDuration);
     } catch (err) {
       const errorMessage =
-        err instanceof Error
-          ? err.message
-          : 'Failed to stop system audio capture.';
+        err instanceof Error ? err.message : 'Failed to stop system audio capture.';
       setError(errorMessage);
     }
   }, [isRecording, onRecordingComplete, platform]);

app/src/lib/hooks/useTranscription.ts

@@ -1,10 +1,18 @@
 import { useMutation } from '@tanstack/react-query';
 import { apiClient } from '@/lib/api/client';
+import type { WhisperModelSize } from '@/lib/api/types';
 import type { LanguageCode } from '@/lib/constants/languages';
 
 export function useTranscription() {
   return useMutation({
-    mutationFn: ({ file, language }: { file: File; language?: LanguageCode }) =>
-      apiClient.transcribeAudio(file, language),
+    mutationFn: ({
+      file,
+      language,
+      model,
+    }: {
+      file: File;
+      language?: LanguageCode;
+      model?: WhisperModelSize;
+    }) => apiClient.transcribeAudio(file, language, model),
   });
 }

app/src/lib/queryClient.ts

@@ -0,0 +1,19 @@
+import { QueryClient } from '@tanstack/react-query';
+
+/**
+ * Shared QueryClient instance used across the app.
+ *
+ * Extracted into its own side-effect-free module so it can be imported from
+ * both the React bootstrap (main.tsx) and non-React code (stores, utilities)
+ * without pulling in ReactDOM or other bootstrap side effects.
+ */
+export const queryClient = new QueryClient({
+  defaultOptions: {
+    queries: {
+      staleTime: 1000 * 60 * 5, // 5 minutes
+      gcTime: 1000 * 60 * 10, // 10 minutes (formerly cacheTime)
+      retry: 1,
+      refetchOnWindowFocus: false,
+    },
+  },
+});

app/src/lib/utils/parseChangelog.ts

@@ -0,0 +1,37 @@
+export interface ChangelogEntry {
+  version: string;
+  date: string | null;
+  body: string;
+}
+
+/**
+ * Parses a Keep-a-Changelog style markdown string into structured entries.
+ *
+ * Splits on `## [version]` headings and extracts the version + date from each.
+ * The body is the raw markdown between headings (trimmed), with the leading
+ * `# Changelog` title and trailing link references stripped.
+ */
+export function parseChangelog(raw: string): ChangelogEntry[] {
+  const entries: ChangelogEntry[] = [];
+
+  // Strip trailing link reference definitions (e.g. [0.1.0]: https://...)
+  const cleaned = raw.replace(/^\[[\w.]+\]:.*$/gm, '').trimEnd();
+
+  // Match `## [version]` or `## [version] - date`
+  const headingRe = /^## \[(.+?)\](?:\s*-\s*(.+))?$/gm;
+  const matches = [...cleaned.matchAll(headingRe)];
+
+  for (let i = 0; i < matches.length; i++) {
+    const match = matches[i];
+    const version = match[1];
+    const date = match[2]?.trim() || null;
+
+    const start = match.index! + match[0].length;
+    const end = i + 1 < matches.length ? matches[i + 1].index! : cleaned.length;
+    const body = cleaned.slice(start, end).trim();
+
+    entries.push({ version, date, body });
+  }
+
+  return entries;
+}

app/src/main.tsx

@@ -1,20 +1,10 @@
-import { QueryClient, QueryClientProvider } from '@tanstack/react-query';
+import { QueryClientProvider } from '@tanstack/react-query';
 // import { ReactQueryDevtools } from '@tanstack/react-query-devtools';
 import React from 'react';
 import ReactDOM from 'react-dom/client';
 import App from './App';
 import './index.css';
-
-const queryClient = new QueryClient({
-  defaultOptions: {
-    queries: {
-      staleTime: 1000 * 60 * 5, // 5 minutes
-      gcTime: 1000 * 60 * 10, // 10 minutes (formerly cacheTime)
-      retry: 1,
-      refetchOnWindowFocus: false,
-    },
-  },
-});
+import { queryClient } from './lib/queryClient';
 
 ReactDOM.createRoot(document.getElementById('root')!).render(
   <React.StrictMode>

app/src/platform/PlatformContext.tsx

@@ -9,11 +9,7 @@ export interface PlatformProviderProps {
 }
 
 export function PlatformProvider({ platform, children }: PlatformProviderProps) {
-  return (
-    <PlatformContext.Provider value={platform}>
-      {children}
-    </PlatformContext.Provider>
-  );
+  return <PlatformContext.Provider value={platform}>{children}</PlatformContext.Provider>;
 }
 
 export function usePlatform(): Platform {

app/src/platform/types.ts

@@ -42,7 +42,7 @@ export interface AudioDevice {
 }
 
 export interface PlatformAudio {
-  isSystemAudioSupported(): boolean;
+  isSystemAudioSupported(): Promise<boolean>;
   startSystemAudioCapture(maxDurationSecs: number): Promise<void>;
   stopSystemAudioCapture(): Promise<Blob>;
   listOutputDevices(): Promise<AudioDevice[]>;
@@ -50,12 +50,18 @@ export interface PlatformAudio {
   stopPlayback(): void;
 }
 
+export interface ServerLogEntry {
+  stream: 'stdout' | 'stderr';
+  line: string;
+}
+
 export interface PlatformLifecycle {
   startServer(remote?: boolean, modelsDir?: string | null): Promise<string>;
   stopServer(): Promise<void>;
   restartServer(modelsDir?: string | null): Promise<string>;
   setKeepServerRunning(keep: boolean): Promise<void>;
   setupWindowCloseHandler(): Promise<void>;
+  subscribeToServerLogs(callback: (entry: ServerLogEntry) => void): () => void;
   onServerReady?: () => void;
 }
 

app/src/router.tsx

@@ -1,10 +1,22 @@
-import { createRootRoute, createRoute, createRouter, Outlet } from '@tanstack/react-router';
+import {
+  createRootRoute,
+  createRoute,
+  createRouter,
+  Outlet,
+  redirect,
+} from '@tanstack/react-router';
 import { AppFrame } from '@/components/AppFrame/AppFrame';
 import { AudioTab } from '@/components/AudioTab/AudioTab';
 import { EffectsTab } from '@/components/EffectsTab/EffectsTab';
 import { MainEditor } from '@/components/MainEditor/MainEditor';
 import { ModelsTab } from '@/components/ModelsTab/ModelsTab';
-import { ServerTab } from '@/components/ServerTab/ServerTab';
+import { AboutPage } from '@/components/ServerTab/AboutPage';
+import { ChangelogPage } from '@/components/ServerTab/ChangelogPage';
+import { GeneralPage } from '@/components/ServerTab/GeneralPage';
+import { GenerationPage } from '@/components/ServerTab/GenerationPage';
+import { GpuPage } from '@/components/ServerTab/GpuPage';
+import { LogsPage } from '@/components/ServerTab/LogsPage';
+import { SettingsLayout } from '@/components/ServerTab/ServerTab';
 import { Sidebar } from '@/components/Sidebar';
 import { StoriesTab } from '@/components/StoriesTab/StoriesTab';
 import { Toaster } from '@/components/ui/toaster';
@@ -120,11 +132,57 @@ const modelsRoute = createRoute({
   component: ModelsTab,
 });
 
-// Server route
-const serverRoute = createRoute({
+// Settings layout route (parent for sub-tabs)
+const settingsRoute = createRoute({
+  getParentRoute: () => rootRoute,
+  path: '/settings',
+  component: SettingsLayout,
+});
+
+// Settings sub-routes
+const settingsGeneralRoute = createRoute({
+  getParentRoute: () => settingsRoute,
+  path: '/',
+  component: GeneralPage,
+});
+
+const settingsGenerationRoute = createRoute({
+  getParentRoute: () => settingsRoute,
+  path: '/generation',
+  component: GenerationPage,
+});
+
+const settingsGpuRoute = createRoute({
+  getParentRoute: () => settingsRoute,
+  path: '/gpu',
+  component: GpuPage,
+});
+
+const settingsChangelogRoute = createRoute({
+  getParentRoute: () => settingsRoute,
+  path: '/changelog',
+  component: ChangelogPage,
+});
+
+const settingsLogsRoute = createRoute({
+  getParentRoute: () => settingsRoute,
+  path: '/logs',
+  component: LogsPage,
+});
+
+const settingsAboutRoute = createRoute({
+  getParentRoute: () => settingsRoute,
+  path: '/about',
+  component: AboutPage,
+});
+
+// Redirect old /server path to /settings
+const serverRedirectRoute = createRoute({
   getParentRoute: () => rootRoute,
   path: '/server',
-  component: ServerTab,
+  beforeLoad: () => {
+    throw redirect({ to: '/settings' });
+  },
 });
 
 // Route tree
@@ -135,7 +193,15 @@ const routeTree = rootRoute.addChildren([
   audioRoute,
   effectsRoute,
   modelsRoute,
-  serverRoute,
+  settingsRoute.addChildren([
+    settingsGeneralRoute,
+    settingsGenerationRoute,
+    settingsGpuRoute,
+    settingsLogsRoute,
+    settingsChangelogRoute,
+    settingsAboutRoute,
+  ]),
+  serverRedirectRoute,
 ]);
 
 // Create router

app/src/stores/logStore.ts

@@ -0,0 +1,31 @@
+import { create } from 'zustand';
+import type { ServerLogEntry } from '@/platform/types';
+
+const MAX_LOG_ENTRIES = 2000;
+
+let nextLogEntryId = 0;
+
+export interface LogEntry extends ServerLogEntry {
+  id: number;
+  timestamp: number;
+}
+
+interface LogStore {
+  entries: LogEntry[];
+  addEntry: (entry: ServerLogEntry) => void;
+  clear: () => void;
+}
+
+export const useLogStore = create<LogStore>((set) => ({
+  entries: [],
+  addEntry: (entry) =>
+    set((state) => {
+      const newEntry: LogEntry = { ...entry, id: nextLogEntryId++, timestamp: Date.now() };
+      const entries = [...state.entries, newEntry];
+      if (entries.length > MAX_LOG_ENTRIES) {
+        return { entries: entries.slice(entries.length - MAX_LOG_ENTRIES) };
+      }
+      return { entries };
+    }),
+  clear: () => set({ entries: [] }),
+}));

app/src/stores/serverStore.ts

@@ -1,5 +1,6 @@
 import { create } from 'zustand';
 import { persist } from 'zustand/middleware';
+import { queryClient } from '@/lib/queryClient';
 
 interface ServerStore {
   serverUrl: string;
@@ -30,11 +31,25 @@ interface ServerStore {
   setCustomModelsDir: (dir: string | null) => void;
 }
 
+/**
+ * Invalidate all React Query caches so stale data from the previous
+ * server is not shown. Called when the server URL changes.
+ */
+function invalidateAllServerData() {
+  queryClient.invalidateQueries();
+}
+
 export const useServerStore = create<ServerStore>()(
   persist(
-    (set) => ({
+    (set, get) => ({
       serverUrl: 'http://127.0.0.1:17493',
-      setServerUrl: (url) => set({ serverUrl: url }),
+      setServerUrl: (url) => {
+        const prev = get().serverUrl;
+        set({ serverUrl: url });
+        if (url !== prev) {
+          invalidateAllServerData();
+        }
+      },
 
       isConnected: false,
       setIsConnected: (connected) => set({ isConnected: connected }),

app/src/stores/uiStore.ts

@@ -31,6 +31,10 @@ interface UIStore {
   selectedProfileId: string | null;
   setSelectedProfileId: (id: string | null) => void;
 
+  // Currently selected engine (synced from generation form)
+  selectedEngine: string;
+  setSelectedEngine: (engine: string) => void;
+
   // Selected voice in Voices tab inspector
   selectedVoiceId: string | null;
   setSelectedVoiceId: (id: string | null) => void;
@@ -59,6 +63,9 @@ export const useUIStore = create<UIStore>((set) => ({
   selectedProfileId: null,
   setSelectedProfileId: (id) => set({ selectedProfileId: id }),
 
+  selectedEngine: 'qwen',
+  setSelectedEngine: (engine) => set({ selectedEngine: engine }),
+
   selectedVoiceId: null,
   setSelectedVoiceId: (id) => set({ selectedVoiceId: id }),
 

app/tsconfig.node.json

@@ -6,5 +6,5 @@
     "moduleResolution": "bundler",
     "allowSyntheticDefaultImports": true
   },
-  "include": ["vite.config.ts"]
+  "include": ["vite.config.ts", "plugins/**/*.ts"]
 }

app/vite.config.ts

@@ -2,9 +2,10 @@ import path from 'node:path';
 import tailwindcss from '@tailwindcss/vite';
 import react from '@vitejs/plugin-react';
 import { defineConfig } from 'vite';
+import { changelogPlugin } from './plugins/changelog';
 
 export default defineConfig({
-  plugins: [tailwindcss(), react()],
+  plugins: [tailwindcss(), react(), changelogPlugin(path.resolve(__dirname, '..'))],
   resolve: {
     alias: {
       '@': path.resolve(__dirname, './src'),

backend/__init__.py

@@ -1,3 +1,3 @@
 # Backend package
 
-__version__ = "0.2.3"
+__version__ = "0.4.0"

backend/app.py

@@ -77,6 +77,7 @@ def create_app() -> FastAPI:
     _configure_cors(application)
     register_routers(application)
     _register_lifecycle(application)
+    _mount_frontend(application)
 
     return application
 
@@ -104,19 +105,77 @@ def _configure_cors(application: FastAPI) -> None:
     )
 
 
+def _mount_frontend(application: FastAPI) -> None:
+    """Serve the built web frontend when present (Docker / web deployment).
+
+    The Dockerfile copies the Vite build output to ``/app/frontend/``.  When
+    that directory exists we mount static assets and add a catch-all route so
+    the React SPA handles client-side routing.  In dev or API-only mode the
+    directory is absent and this function is a no-op.
+    """
+    frontend_dir = Path(__file__).resolve().parent.parent / "frontend"
+    if not frontend_dir.is_dir():
+        return
+
+    from fastapi.staticfiles import StaticFiles
+    from fastapi.responses import FileResponse
+
+    # Mount hashed assets (JS, CSS, images) that Vite places under /assets
+    assets_dir = frontend_dir / "assets"
+    if assets_dir.is_dir():
+        application.mount(
+            "/assets",
+            StaticFiles(directory=str(assets_dir)),
+            name="frontend-assets",
+        )
+
+    # SPA catch-all: serve files if they exist, otherwise index.html for
+    # client-side routes like /voices, /stories, /models, etc.
+    @application.get("/{full_path:path}")
+    async def serve_spa(full_path: str):
+        file_path = (frontend_dir / full_path).resolve()
+        # Guard against path traversal — only serve files inside frontend_dir
+        if full_path and file_path.is_file() and file_path.is_relative_to(frontend_dir):
+            return FileResponse(file_path)
+        return FileResponse(frontend_dir / "index.html", media_type="text/html")
+
+    logger.info("Frontend: serving SPA from %s", frontend_dir)
+
+
 def _get_gpu_status() -> str:
     """Return a human-readable string describing GPU availability."""
     backend_type = get_backend_type()
     if torch.cuda.is_available():
+        from .backends.base import check_cuda_compatibility
+
         device_name = torch.cuda.get_device_name(0)
+        compatible, _warning = check_cuda_compatibility()
         is_rocm = hasattr(torch.version, "hip") and torch.version.hip is not None
         if is_rocm:
-            return f"ROCm ({device_name})"
-        return f"CUDA ({device_name})"
+            label = f"ROCm ({device_name})"
+        else:
+            label = f"CUDA ({device_name})"
+        if not compatible:
+            label += " [UNSUPPORTED - see logs]"
+        return label
     elif hasattr(torch.backends, "mps") and torch.backends.mps.is_available():
         return "MPS (Apple Silicon)"
     elif backend_type == "mlx":
         return "Metal (Apple Silicon via MLX)"
+
+    # Intel XPU (Arc / Data Center) via IPEX
+    try:
+        import intel_extension_for_pytorch  # noqa: F401
+
+        if hasattr(torch, "xpu") and torch.xpu.is_available():
+            try:
+                xpu_name = torch.xpu.get_device_name(0)
+            except Exception:
+                xpu_name = "Intel GPU"
+            return f"XPU ({xpu_name})"
+    except ImportError:
+        pass
+
     return "None (CPU only)"
 
 
@@ -178,6 +237,13 @@ def _register_lifecycle(application: FastAPI) -> None:
         logger.info("Backend: %s", backend_type.upper())
         logger.info("GPU: %s", _get_gpu_status())
 
+        # Warn if GPU architecture is not supported by this PyTorch build
+        from .backends.base import check_cuda_compatibility
+
+        _compatible, _cuda_warning = check_cuda_compatibility()
+        if not _compatible:
+            logger.warning("GPU COMPATIBILITY: %s", _cuda_warning)
+
         from .services.cuda import check_and_update_cuda_binary
 
         create_background_task(check_and_update_cuda_binary())

backend/backends/__init__.py

@@ -134,6 +134,7 @@ class STTBackend(Protocol):
         self,
         audio_path: str,
         language: Optional[str] = None,
+        model_size: Optional[str] = None,
     ) -> str:
         """
         Transcribe audio to text.
@@ -162,9 +163,12 @@ _stt_backend: Optional[STTBackend] = None
 # The factory function uses this for the if/elif chain; the model configs live on the backend classes.
 TTS_ENGINES = {
     "qwen": "Qwen TTS",
+    "qwen_custom_voice": "Qwen CustomVoice",
     "luxtts": "LuxTTS",
     "chatterbox": "Chatterbox TTS",
     "chatterbox_turbo": "Chatterbox Turbo",
+    "tada": "TADA",
+    "kokoro": "Kokoro",
 }
 
 
@@ -202,6 +206,32 @@ def _get_qwen_model_configs() -> list[ModelConfig]:
     ]
 
 
+def _get_qwen_custom_voice_configs() -> list[ModelConfig]:
+    """Return Qwen CustomVoice model configs."""
+    return [
+        ModelConfig(
+            model_name="qwen-custom-voice-1.7B",
+            display_name="Qwen CustomVoice 1.7B",
+            engine="qwen_custom_voice",
+            hf_repo_id="Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice",
+            model_size="1.7B",
+            size_mb=3500,
+            supports_instruct=True,
+            languages=["zh", "en", "ja", "ko", "de", "fr", "ru", "pt", "es", "it"],
+        ),
+        ModelConfig(
+            model_name="qwen-custom-voice-0.6B",
+            display_name="Qwen CustomVoice 0.6B",
+            engine="qwen_custom_voice",
+            hf_repo_id="Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice",
+            model_size="0.6B",
+            size_mb=1200,
+            supports_instruct=True,
+            languages=["zh", "en", "ja", "ko", "de", "fr", "ru", "pt", "es", "it"],
+        ),
+    ]
+
+
 def _get_non_qwen_tts_configs() -> list[ModelConfig]:
     """Return model configs for non-Qwen TTS engines.
 
@@ -258,6 +288,32 @@ def _get_non_qwen_tts_configs() -> list[ModelConfig]:
             needs_trim=True,
             languages=["en"],
         ),
+        ModelConfig(
+            model_name="tada-1b",
+            display_name="TADA 1B (English)",
+            engine="tada",
+            hf_repo_id="HumeAI/tada-1b",
+            model_size="1B",
+            size_mb=4000,
+            languages=["en"],
+        ),
+        ModelConfig(
+            model_name="tada-3b-ml",
+            display_name="TADA 3B Multilingual",
+            engine="tada",
+            hf_repo_id="HumeAI/tada-3b-ml",
+            model_size="3B",
+            size_mb=8000,
+            languages=["en", "ar", "zh", "de", "es", "fr", "it", "ja", "pl", "pt"],
+        ),
+        ModelConfig(
+            model_name="kokoro",
+            display_name="Kokoro 82M",
+            engine="kokoro",
+            hf_repo_id="hexgrad/Kokoro-82M",
+            size_mb=350,
+            languages=["en", "es", "fr", "hi", "it", "pt", "ja", "zh"],
+        ),
     ]
 
 
@@ -304,12 +360,12 @@ def _get_whisper_configs() -> list[ModelConfig]:
 
 def get_all_model_configs() -> list[ModelConfig]:
     """Return the full list of model configs (TTS + STT)."""
-    return _get_qwen_model_configs() + _get_non_qwen_tts_configs() + _get_whisper_configs()
+    return _get_qwen_model_configs() + _get_qwen_custom_voice_configs() + _get_non_qwen_tts_configs() + _get_whisper_configs()
 
 
 def get_tts_model_configs() -> list[ModelConfig]:
     """Return only TTS model configs."""
-    return _get_qwen_model_configs() + _get_non_qwen_tts_configs()
+    return _get_qwen_model_configs() + _get_qwen_custom_voice_configs() + _get_non_qwen_tts_configs()
 
 
 # Lookup helpers — these replace the if/elif chains in main.py
@@ -338,10 +394,12 @@ def engine_has_model_sizes(engine: str) -> bool:
 
 
 async def load_engine_model(engine: str, model_size: str = "default") -> None:
-    """Load a model for the given engine, handling the Qwen model_size special case."""
+    """Load a model for the given engine, handling engines with multiple model sizes."""
     backend = get_tts_backend_for_engine(engine)
-    if engine == "qwen":
+    if engine in ("qwen", "qwen_custom_voice"):
         await backend.load_model_async(model_size)
+    elif engine == "tada":
+        await backend.load_model(model_size)
     else:
         await backend.load_model()
 
@@ -357,7 +415,7 @@ async def ensure_model_cached_or_raise(engine: str, model_size: str = "default")
             cfg = c
             break
 
-    if engine == "qwen":
+    if engine in ("qwen", "qwen_custom_voice", "tada"):
         if not backend._is_model_cached(model_size):
             raise HTTPException(
                 status_code=400,
@@ -392,6 +450,14 @@ def unload_model_by_config(config: ModelConfig) -> bool:
             return True
         return False
 
+    if config.engine == "qwen_custom_voice":
+        backend = get_tts_backend_for_engine(config.engine)
+        loaded_size = getattr(backend, "_current_model_size", None) or getattr(backend, "model_size", None)
+        if backend.is_loaded() and loaded_size == config.model_size:
+            backend.unload_model()
+            return True
+        return False
+
     # All other TTS engines
     backend = get_tts_backend_for_engine(config.engine)
     if backend.is_loaded():
@@ -415,6 +481,11 @@ def check_model_loaded(config: ModelConfig) -> bool:
             loaded_size = getattr(tts_model, "_current_model_size", None) or getattr(tts_model, "model_size", None)
             return tts_model.is_loaded() and loaded_size == config.model_size
 
+        if config.engine == "qwen_custom_voice":
+            backend = get_tts_backend_for_engine(config.engine)
+            loaded_size = getattr(backend, "_current_model_size", None) or getattr(backend, "model_size", None)
+            return backend.is_loaded() and loaded_size == config.model_size
+
         backend = get_tts_backend_for_engine(config.engine)
         return backend.is_loaded()
     except Exception:
@@ -432,6 +503,9 @@ def get_model_load_func(config: ModelConfig):
     if config.engine == "qwen":
         return lambda: tts.get_tts_model().load_model(config.model_size)
 
+    if config.engine == "qwen_custom_voice":
+        return lambda: get_tts_backend_for_engine(config.engine).load_model(config.model_size)
+
     return lambda: get_tts_backend_for_engine(config.engine).load_model()
 
 
@@ -489,6 +563,18 @@ def get_tts_backend_for_engine(engine: str) -> TTSBackend:
             from .chatterbox_turbo_backend import ChatterboxTurboTTSBackend
 
             backend = ChatterboxTurboTTSBackend()
+        elif engine == "tada":
+            from .hume_backend import HumeTadaBackend
+
+            backend = HumeTadaBackend()
+        elif engine == "kokoro":
+            from .kokoro_backend import KokoroTTSBackend
+
+            backend = KokoroTTSBackend()
+        elif engine == "qwen_custom_voice":
+            from .qwen_custom_voice_backend import QwenCustomVoiceBackend
+
+            backend = QwenCustomVoiceBackend()
         else:
             raise ValueError(f"Unknown TTS engine: {engine}. Supported: {list(TTS_ENGINES.keys())}")
 

backend/backends/base.py

@@ -126,6 +126,75 @@ def get_torch_device(
     return "cpu"
 
 
+def check_cuda_compatibility() -> tuple[bool, str | None]:
+    """Check if the installed PyTorch supports the current GPU's compute capability.
+
+    Returns:
+        (compatible, warning_message) — compatible is True if OK or no CUDA GPU,
+        warning_message is a human-readable string if there's a problem.
+    """
+    import torch
+
+    if not torch.cuda.is_available():
+        return True, None
+
+    major, minor = torch.cuda.get_device_capability(0)
+    capability = f"{major}.{minor}"
+    device_name = torch.cuda.get_device_name(0)
+    sm_tag = f"sm_{major}{minor}"
+
+    # torch.cuda._get_arch_list() returns the SM architectures this build
+    # was compiled for (e.g. ["sm_50", "sm_60", ..., "sm_90"]).
+    try:
+        arch_list = torch.cuda._get_arch_list()
+        if arch_list:
+            # Check for both sm_XX and compute_XX (JIT-compiled) entries
+            compute_tag = f"compute_{major}{minor}"
+            if sm_tag not in arch_list and compute_tag not in arch_list:
+                return False, (
+                    f"{device_name} (compute capability {capability} / {sm_tag}) "
+                    f"is not supported by this PyTorch build. "
+                    f"Supported architectures: {', '.join(arch_list)}. "
+                    f"Install PyTorch nightly (cu128) for newer GPU support: "
+                    f"pip install torch --index-url https://download.pytorch.org/whl/nightly/cu128"
+                )
+    except AttributeError:
+        pass
+
+    return True, None
+
+
+def empty_device_cache(device: str) -> None:
+    """
+    Free cached memory on the given device (CUDA or XPU).
+
+    Backends should call this after unloading models so VRAM is returned
+    to the OS.
+    """
+    import torch
+
+    if device == "cuda" and torch.cuda.is_available():
+        torch.cuda.empty_cache()
+    elif device == "xpu" and hasattr(torch, "xpu"):
+        torch.xpu.empty_cache()
+
+
+def manual_seed(seed: int, device: str) -> None:
+    """
+    Set the random seed on both CPU and the active accelerator.
+
+    Covers CUDA and Intel XPU so that generation is reproducible
+    regardless of which GPU backend is in use.
+    """
+    import torch
+
+    torch.manual_seed(seed)
+    if device == "cuda" and torch.cuda.is_available():
+        torch.cuda.manual_seed(seed)
+    elif device == "xpu" and hasattr(torch, "xpu"):
+        torch.xpu.manual_seed(seed)
+
+
 async def combine_voice_prompts(
     audio_paths: List[str],
     reference_texts: List[str],

backend/backends/chatterbox_backend.py

@@ -18,6 +18,8 @@ from . import TTSBackend
 from .base import (
     is_model_cached,
     get_torch_device,
+    empty_device_cache,
+    manual_seed,
     combine_voice_prompts as _combine_voice_prompts,
     model_load_progress,
     patch_chatterbox_f32,
@@ -48,7 +50,7 @@ class ChatterboxTTSBackend:
         self._model_load_lock = asyncio.Lock()
 
     def _get_device(self) -> str:
-        return get_torch_device(force_cpu_on_mac=True)
+        return get_torch_device(force_cpu_on_mac=True, allow_xpu=True)
 
     def is_loaded(self) -> bool:
         return self.model is not None
@@ -117,10 +119,7 @@ class ChatterboxTTSBackend:
             del self.model
             self.model = None
             self._device = None
-            if device == "cuda":
-                import torch
-
-                torch.cuda.empty_cache()
+            empty_device_cache(device)
             logger.info("Chatterbox unloaded")
 
     async def create_voice_prompt(
@@ -200,7 +199,7 @@ class ChatterboxTTSBackend:
             import torch
 
             if seed is not None:
-                torch.manual_seed(seed)
+                manual_seed(seed, self._device)
 
             logger.info(f"[Chatterbox] Generating: lang={language}")
 
@@ -220,10 +219,7 @@ class ChatterboxTTSBackend:
             else:
                 audio = np.asarray(wav, dtype=np.float32)
 
-            sample_rate = (
-                getattr(self.model, "sr", None)
-                or getattr(self.model, "sample_rate", 24000)
-            )
+            sample_rate = getattr(self.model, "sr", None) or getattr(self.model, "sample_rate", 24000)
 
             return audio, sample_rate
 

backend/backends/chatterbox_turbo_backend.py

@@ -18,6 +18,8 @@ from . import TTSBackend
 from .base import (
     is_model_cached,
     get_torch_device,
+    empty_device_cache,
+    manual_seed,
     combine_voice_prompts as _combine_voice_prompts,
     model_load_progress,
     patch_chatterbox_f32,
@@ -48,7 +50,7 @@ class ChatterboxTurboTTSBackend:
         self._model_load_lock = asyncio.Lock()
 
     def _get_device(self) -> str:
-        return get_torch_device(force_cpu_on_mac=True)
+        return get_torch_device(force_cpu_on_mac=True, allow_xpu=True)
 
     def is_loaded(self) -> bool:
         return self.model is not None
@@ -116,10 +118,7 @@ class ChatterboxTurboTTSBackend:
             del self.model
             self.model = None
             self._device = None
-            if device == "cuda":
-                import torch
-
-                torch.cuda.empty_cache()
+            empty_device_cache(device)
             logger.info("Chatterbox Turbo unloaded")
 
     async def create_voice_prompt(
@@ -181,7 +180,7 @@ class ChatterboxTurboTTSBackend:
             import torch
 
             if seed is not None:
-                torch.manual_seed(seed)
+                manual_seed(seed, self._device)
 
             logger.info("[Chatterbox Turbo] Generating (English)")
 
@@ -200,10 +199,7 @@ class ChatterboxTurboTTSBackend:
             else:
                 audio = np.asarray(wav, dtype=np.float32)
 
-            sample_rate = (
-                getattr(self.model, "sr", None)
-                or getattr(self.model, "sample_rate", 24000)
-            )
+            sample_rate = getattr(self.model, "sr", None) or getattr(self.model, "sample_rate", 24000)
 
             return audio, sample_rate
 

backend/backends/hume_backend.py

@@ -0,0 +1,346 @@
+"""
+HumeAI TADA TTS backend implementation.
+
+Wraps HumeAI's TADA (Text-Acoustic Dual Alignment) model for
+high-quality voice cloning. Two model variants:
+  - tada-1b: English-only, ~2B params (Llama 3.2 1B base)
+  - tada-3b-ml: Multilingual, ~4B params (Llama 3.2 3B base)
+
+Both use a shared encoder/codec (HumeAI/tada-codec). The encoder
+produces 1:1 aligned token embeddings from reference audio, and the
+causal LM generates speech via flow-matching diffusion.
+
+24kHz output, bf16 inference on CUDA, fp32 on CPU.
+"""
+
+import asyncio
+import logging
+import threading
+from typing import ClassVar, List, Optional, Tuple
+
+import numpy as np
+
+from . import TTSBackend
+from .base import (
+    is_model_cached,
+    get_torch_device,
+    empty_device_cache,
+    manual_seed,
+    combine_voice_prompts as _combine_voice_prompts,
+    model_load_progress,
+)
+from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
+
+logger = logging.getLogger(__name__)
+
+# HuggingFace repos
+TADA_CODEC_REPO = "HumeAI/tada-codec"
+TADA_1B_REPO = "HumeAI/tada-1b"
+TADA_3B_ML_REPO = "HumeAI/tada-3b-ml"
+
+TADA_MODEL_REPOS = {
+    "1B": TADA_1B_REPO,
+    "3B": TADA_3B_ML_REPO,
+}
+
+# Key weight files for cache detection
+_TADA_MODEL_WEIGHT_FILES = [
+    "model.safetensors",
+]
+
+_TADA_CODEC_WEIGHT_FILES = [
+    "encoder/model.safetensors",
+]
+
+
+class HumeTadaBackend:
+    """HumeAI TADA TTS backend for high-quality voice cloning."""
+
+    _load_lock: ClassVar[threading.Lock] = threading.Lock()
+
+    def __init__(self):
+        self.model = None
+        self.encoder = None
+        self.model_size = "1B"  # default to 1B
+        self._device = None
+        self._model_load_lock = asyncio.Lock()
+
+    def _get_device(self) -> str:
+        # Force CPU on macOS — MPS has issues with flow matching
+        # and large vocab lm_head (>65536 output channels)
+        return get_torch_device(force_cpu_on_mac=True, allow_xpu=True)
+
+    def is_loaded(self) -> bool:
+        return self.model is not None
+
+    def _get_model_path(self, model_size: str = "1B") -> str:
+        return TADA_MODEL_REPOS.get(model_size, TADA_1B_REPO)
+
+    def _is_model_cached(self, model_size: str = "1B") -> bool:
+        repo = TADA_MODEL_REPOS.get(model_size, TADA_1B_REPO)
+        model_cached = is_model_cached(repo, required_files=_TADA_MODEL_WEIGHT_FILES)
+        codec_cached = is_model_cached(TADA_CODEC_REPO, required_files=_TADA_CODEC_WEIGHT_FILES)
+        return model_cached and codec_cached
+
+    async def load_model(self, model_size: str = "1B") -> None:
+        """Load the TADA model and encoder."""
+        if self.model is not None and self.model_size == model_size:
+            return
+        async with self._model_load_lock:
+            if self.model is not None and self.model_size == model_size:
+                return
+            # Unload existing model if switching sizes
+            if self.model is not None:
+                self.unload_model()
+            self.model_size = model_size
+            await asyncio.to_thread(self._load_model_sync, model_size)
+
+    def _load_model_sync(self, model_size: str = "1B"):
+        """Synchronous model loading with progress tracking."""
+        model_name = f"tada-{model_size.lower()}"
+        is_cached = self._is_model_cached(model_size)
+        repo = TADA_MODEL_REPOS.get(model_size, TADA_1B_REPO)
+
+        with model_load_progress(model_name, is_cached):
+            # Install DAC shim before importing tada — tada's encoder/decoder
+            # import dac.nn.layers.Snake1d which requires the descript-audio-codec
+            # package.  The real package pulls in onnx/tensorboard/matplotlib via
+            # descript-audiotools, so we use a lightweight shim instead.
+            from ..utils.dac_shim import install_dac_shim
+
+            install_dac_shim()
+
+            import torch
+            from huggingface_hub import snapshot_download
+
+            device = self._get_device()
+            self._device = device
+            logger.info(f"Loading HumeAI TADA {model_size} on {device}...")
+
+            # Download codec (encoder + decoder) if not cached
+            logger.info("Downloading TADA codec...")
+            snapshot_download(
+                repo_id=TADA_CODEC_REPO,
+                token=None,
+                allow_patterns=["*.safetensors", "*.json", "*.txt", "*.bin"],
+            )
+
+            # Download model weights if not cached
+            logger.info(f"Downloading TADA {model_size} model...")
+            snapshot_download(
+                repo_id=repo,
+                token=None,
+                allow_patterns=["*.safetensors", "*.json", "*.txt", "*.bin", "*.model"],
+            )
+
+            # TADA hardcodes "meta-llama/Llama-3.2-1B" as the tokenizer
+            # source in its Aligner and TadaForCausalLM.from_pretrained().
+            # That repo is gated (requires Meta license acceptance).
+            # Download the tokenizer from an ungated mirror and get its
+            # local cache path so we can point TADA at it directly.
+            logger.info("Downloading Llama tokenizer (ungated mirror)...")
+            tokenizer_path = snapshot_download(
+                repo_id="unsloth/Llama-3.2-1B",
+                token=None,
+                allow_patterns=["tokenizer*", "special_tokens*"],
+            )
+
+            # Determine dtype — use bf16 on CUDA/XPU for ~50% memory savings
+            if device == "cuda" and torch.cuda.is_bf16_supported():
+                model_dtype = torch.bfloat16
+            elif device == "xpu":
+                # Intel Arc (Alchemist+) supports bf16 natively
+                model_dtype = torch.bfloat16
+            else:
+                model_dtype = torch.float32
+
+            # Patch the Aligner config class to use the local tokenizer
+            # path instead of the gated "meta-llama/Llama-3.2-1B" default.
+            # This avoids monkey-patching AutoTokenizer.from_pretrained
+            # which corrupts the classmethod descriptor for other engines.
+            from tada.modules.aligner import AlignerConfig
+
+            AlignerConfig.tokenizer_name = tokenizer_path
+
+            # Load encoder (only needed for voice prompt encoding)
+            from tada.modules.encoder import Encoder
+
+            logger.info("Loading TADA encoder...")
+            self.encoder = Encoder.from_pretrained(TADA_CODEC_REPO, subfolder="encoder").to(device)
+            self.encoder.eval()
+
+            # Load the causal LM (includes decoder for wav generation).
+            # TadaForCausalLM.from_pretrained() calls
+            #   getattr(config, "tokenizer_name", "meta-llama/Llama-3.2-1B")
+            # which hits the gated repo. Pre-load the config from HF,
+            # inject the local tokenizer path, then pass it in.
+            from tada.modules.tada import TadaForCausalLM, TadaConfig
+
+            logger.info(f"Loading TADA {model_size} model...")
+            config = TadaConfig.from_pretrained(repo)
+            config.tokenizer_name = tokenizer_path
+            self.model = TadaForCausalLM.from_pretrained(repo, config=config, torch_dtype=model_dtype).to(device)
+            self.model.eval()
+
+        logger.info(f"HumeAI TADA {model_size} loaded successfully on {device}")
+
+    def unload_model(self) -> None:
+        """Unload model and encoder to free memory."""
+        if self.model is not None:
+            del self.model
+            self.model = None
+        if self.encoder is not None:
+            del self.encoder
+            self.encoder = None
+
+        device = self._device
+        self._device = None
+
+        if device:
+            empty_device_cache(device)
+
+        logger.info("HumeAI TADA unloaded")
+
+    async def create_voice_prompt(
+        self,
+        audio_path: str,
+        reference_text: str,
+        use_cache: bool = True,
+    ) -> Tuple[dict, bool]:
+        """
+        Create voice prompt from reference audio using TADA's encoder.
+
+        TADA's encoder performs forced alignment between audio and text tokens,
+        producing an EncoderOutput with 1:1 token-audio alignment. If no
+        reference_text is provided, the encoder uses built-in ASR (English only).
+
+        We serialize the EncoderOutput to a dict for caching.
+        """
+        await self.load_model(self.model_size)
+
+        cache_key = ("tada_" + get_cache_key(audio_path, reference_text)) if use_cache else None
+
+        if cache_key:
+            cached = get_cached_voice_prompt(cache_key)
+            if cached is not None and isinstance(cached, dict):
+                return cached, True
+
+        def _encode_sync():
+            import torch
+            import soundfile as sf
+
+            device = self._device
+
+            # Load audio with soundfile (torchaudio 2.10+ requires torchcodec)
+            audio_np, sr = sf.read(str(audio_path), dtype="float32")
+            audio = torch.from_numpy(audio_np).float()
+            if audio.ndim == 1:
+                audio = audio.unsqueeze(0)  # (samples,) -> (1, samples)
+            else:
+                audio = audio.T  # (samples, channels) -> (channels, samples)
+            audio = audio.to(device)
+
+            # Encode with forced alignment
+            text_arg = [reference_text] if reference_text else None
+            prompt = self.encoder(audio, text=text_arg, sample_rate=sr)
+
+            # Serialize EncoderOutput to a dict of CPU tensors for caching
+            prompt_dict = {}
+            for field_name in prompt.__dataclass_fields__:
+                val = getattr(prompt, field_name)
+                if isinstance(val, torch.Tensor):
+                    prompt_dict[field_name] = val.detach().cpu()
+                elif isinstance(val, list):
+                    prompt_dict[field_name] = val
+                elif isinstance(val, (int, float)):
+                    prompt_dict[field_name] = val
+                else:
+                    prompt_dict[field_name] = val
+            return prompt_dict
+
+        encoded = await asyncio.to_thread(_encode_sync)
+
+        if cache_key:
+            cache_voice_prompt(cache_key, encoded)
+
+        return encoded, False
+
+    async def combine_voice_prompts(
+        self,
+        audio_paths: List[str],
+        reference_texts: List[str],
+    ) -> Tuple[np.ndarray, str]:
+        return await _combine_voice_prompts(audio_paths, reference_texts, sample_rate=24000)
+
+    async def generate(
+        self,
+        text: str,
+        voice_prompt: dict,
+        language: str = "en",
+        seed: Optional[int] = None,
+        instruct: Optional[str] = None,
+    ) -> Tuple[np.ndarray, int]:
+        """
+        Generate audio from text using HumeAI TADA.
+
+        Args:
+            text: Text to synthesize
+            voice_prompt: Serialized EncoderOutput dict from create_voice_prompt()
+            language: Language code (en, ar, de, es, fr, it, ja, pl, pt, zh)
+            seed: Random seed for reproducibility
+            instruct: Not supported by TADA (ignored)
+
+        Returns:
+            Tuple of (audio_array, sample_rate=24000)
+        """
+        await self.load_model(self.model_size)
+
+        def _generate_sync():
+            import torch
+            from tada.modules.encoder import EncoderOutput
+
+            if seed is not None:
+                manual_seed(seed, self._device)
+
+            device = self._device
+
+            # Reconstruct EncoderOutput from the cached dict
+            restored = {}
+            for k, v in voice_prompt.items():
+                if isinstance(v, torch.Tensor):
+                    # Move to device and match model dtype for float tensors
+                    if v.is_floating_point():
+                        model_dtype = next(self.model.parameters()).dtype
+                        restored[k] = v.to(device=device, dtype=model_dtype)
+                    else:
+                        restored[k] = v.to(device=device)
+                else:
+                    restored[k] = v
+
+            prompt = EncoderOutput(**restored)
+
+            # For non-English with the 3B-ML model, we could reload the
+            # encoder with the language-specific aligner. However, the
+            # generation itself is language-agnostic — only the encoder's
+            # aligner changes. Since we encode at create_voice_prompt time,
+            # the language is already baked in. For simplicity, we don't
+            # reload the encoder here.
+
+            logger.info(f"[TADA] Generating ({language}), text length: {len(text)}")
+
+            output = self.model.generate(
+                prompt=prompt,
+                text=text,
+            )
+
+            # output.audio is a list of tensors (one per batch item)
+            if output.audio and output.audio[0] is not None:
+                audio_tensor = output.audio[0]
+                audio = audio_tensor.detach().cpu().numpy().squeeze().astype(np.float32)
+            else:
+                logger.warning("[TADA] Generation produced no audio")
+                audio = np.zeros(24000, dtype=np.float32)
+
+            return audio, 24000
+
+        return await asyncio.to_thread(_generate_sync)

backend/backends/kokoro_backend.py

@@ -0,0 +1,288 @@
+"""
+Kokoro TTS backend implementation.
+
+Wraps the Kokoro-82M model for fast, lightweight text-to-speech.
+82M parameters, CPU realtime, 24kHz output, Apache 2.0 license.
+
+Kokoro uses pre-built voice style vectors (not traditional zero-shot cloning
+from arbitrary audio). Voice prompts are stored as deferred references to
+HF-hosted voice .pt files.
+
+Languages supported (via misaki G2P):
+  - American English (a), British English (b)
+  - Spanish (e), French (f), Hindi (h), Italian (i), Portuguese (p)
+  - Japanese (j) — requires misaki[ja]
+  - Chinese (z) — requires misaki[zh]
+"""
+
+import asyncio
+import logging
+import os
+from typing import Optional
+
+import numpy as np
+
+from . import TTSBackend
+from .base import (
+    get_torch_device,
+    combine_voice_prompts as _combine_voice_prompts,
+    model_load_progress,
+)
+
+logger = logging.getLogger(__name__)
+
+# HuggingFace repo for model + voice detection
+KOKORO_HF_REPO = "hexgrad/Kokoro-82M"
+KOKORO_SAMPLE_RATE = 24000
+
+# Default voice if none specified
+KOKORO_DEFAULT_VOICE = "af_heart"
+
+# All available Kokoro voices: (voice_id, display_name, gender, lang_code)
+KOKORO_VOICES = [
+    # American English female
+    ("af_alloy", "Alloy", "female", "en"),
+    ("af_aoede", "Aoede", "female", "en"),
+    ("af_bella", "Bella", "female", "en"),
+    ("af_heart", "Heart", "female", "en"),
+    ("af_jessica", "Jessica", "female", "en"),
+    ("af_kore", "Kore", "female", "en"),
+    ("af_nicole", "Nicole", "female", "en"),
+    ("af_nova", "Nova", "female", "en"),
+    ("af_river", "River", "female", "en"),
+    ("af_sarah", "Sarah", "female", "en"),
+    ("af_sky", "Sky", "female", "en"),
+    # American English male
+    ("am_adam", "Adam", "male", "en"),
+    ("am_echo", "Echo", "male", "en"),
+    ("am_eric", "Eric", "male", "en"),
+    ("am_fenrir", "Fenrir", "male", "en"),
+    ("am_liam", "Liam", "male", "en"),
+    ("am_michael", "Michael", "male", "en"),
+    ("am_onyx", "Onyx", "male", "en"),
+    ("am_puck", "Puck", "male", "en"),
+    ("am_santa", "Santa", "male", "en"),
+    # British English female
+    ("bf_alice", "Alice", "female", "en"),
+    ("bf_emma", "Emma", "female", "en"),
+    ("bf_isabella", "Isabella", "female", "en"),
+    ("bf_lily", "Lily", "female", "en"),
+    # British English male
+    ("bm_daniel", "Daniel", "male", "en"),
+    ("bm_fable", "Fable", "male", "en"),
+    ("bm_george", "George", "male", "en"),
+    ("bm_lewis", "Lewis", "male", "en"),
+    # Spanish
+    ("ef_dora", "Dora", "female", "es"),
+    ("em_alex", "Alex", "male", "es"),
+    ("em_santa", "Santa", "male", "es"),
+    # French
+    ("ff_siwis", "Siwis", "female", "fr"),
+    # Hindi
+    ("hf_alpha", "Alpha", "female", "hi"),
+    ("hf_beta", "Beta", "female", "hi"),
+    ("hm_omega", "Omega", "male", "hi"),
+    ("hm_psi", "Psi", "male", "hi"),
+    # Italian
+    ("if_sara", "Sara", "female", "it"),
+    ("im_nicola", "Nicola", "male", "it"),
+    # Japanese
+    ("jf_alpha", "Alpha", "female", "ja"),
+    ("jf_gongitsune", "Gongitsune", "female", "ja"),
+    ("jf_nezumi", "Nezumi", "female", "ja"),
+    ("jf_tebukuro", "Tebukuro", "female", "ja"),
+    ("jm_kumo", "Kumo", "male", "ja"),
+    # Portuguese
+    ("pf_dora", "Dora", "female", "pt"),
+    ("pm_alex", "Alex", "male", "pt"),
+    ("pm_santa", "Santa", "male", "pt"),
+    # Chinese
+    ("zf_xiaobei", "Xiaobei", "female", "zh"),
+    ("zf_xiaoni", "Xiaoni", "female", "zh"),
+    ("zf_xiaoxiao", "Xiaoxiao", "female", "zh"),
+    ("zf_xiaoyi", "Xiaoyi", "female", "zh"),
+]
+
+# Map our ISO language codes to Kokoro lang_code characters
+LANG_CODE_MAP = {
+    "en": "a",  # American English
+    "es": "e",
+    "fr": "f",
+    "hi": "h",
+    "it": "i",
+    "pt": "p",
+    "ja": "j",
+    "zh": "z",
+}
+
+
+class KokoroTTSBackend:
+    """Kokoro-82M TTS backend — tiny, fast, CPU-friendly."""
+
+    def __init__(self):
+        self._model = None
+        self._pipelines: dict = {}  # lang_code -> KPipeline
+        self._device: Optional[str] = None
+        self.model_size = "default"
+
+    def _get_device(self) -> str:
+        """Select device. Kokoro supports CUDA and CPU. MPS needs fallback env var."""
+        device = get_torch_device(allow_mps=False)
+        # Kokoro can use MPS but requires PYTORCH_ENABLE_MPS_FALLBACK=1
+        # For now, skip MPS to avoid user confusion — CPU is already realtime
+        return device
+
+    @property
+    def device(self) -> str:
+        if self._device is None:
+            self._device = self._get_device()
+        return self._device
+
+    def is_loaded(self) -> bool:
+        return self._model is not None
+
+    def _get_model_path(self, model_size: str) -> str:
+        return KOKORO_HF_REPO
+
+    def _is_model_cached(self, model_size: str = "default") -> bool:
+        """Check if Kokoro model files are cached locally."""
+        from .base import is_model_cached
+
+        return is_model_cached(
+            KOKORO_HF_REPO,
+            required_files=["config.json", "kokoro-v1_0.pth"],
+        )
+
+    async def load_model(self, model_size: str = "default") -> None:
+        """Load the Kokoro model."""
+        if self._model is not None:
+            return
+        await asyncio.to_thread(self._load_model_sync)
+
+    def _load_model_sync(self):
+        """Synchronous model loading."""
+        model_name = "kokoro"
+        is_cached = self._is_model_cached()
+
+        with model_load_progress(model_name, is_cached):
+            from kokoro import KModel
+
+            device = self.device
+            logger.info(f"Loading Kokoro-82M on {device}...")
+
+            self._model = KModel(repo_id=KOKORO_HF_REPO).to(device).eval()
+
+        logger.info("Kokoro-82M loaded successfully")
+
+    def _get_pipeline(self, lang_code: str):
+        """Get or create a KPipeline for the given language code."""
+        kokoro_lang = LANG_CODE_MAP.get(lang_code, "a")
+
+        if kokoro_lang not in self._pipelines:
+            from kokoro import KPipeline
+
+            # Create pipeline with our existing model (no redundant model loading)
+            self._pipelines[kokoro_lang] = KPipeline(
+                lang_code=kokoro_lang,
+                repo_id=KOKORO_HF_REPO,
+                model=self._model,
+            )
+
+        return self._pipelines[kokoro_lang]
+
+    def unload_model(self) -> None:
+        """Unload model to free memory."""
+        if self._model is not None:
+            del self._model
+            self._model = None
+            self._pipelines.clear()
+
+            import torch
+
+            if torch.cuda.is_available():
+                torch.cuda.empty_cache()
+
+            logger.info("Kokoro unloaded")
+
+    async def create_voice_prompt(
+        self,
+        audio_path: str,
+        reference_text: str,
+        use_cache: bool = True,
+    ) -> tuple[dict, bool]:
+        """
+        Create voice prompt for Kokoro.
+
+        Kokoro doesn't do traditional voice cloning from arbitrary audio.
+        When called for a cloned profile (fallback), uses the default voice.
+        For preset profiles, the voice_prompt dict is built by the profile
+        service and bypasses this method entirely.
+        """
+        return {
+            "voice_type": "preset",
+            "preset_engine": "kokoro",
+            "preset_voice_id": KOKORO_DEFAULT_VOICE,
+        }, False
+
+    async def combine_voice_prompts(
+        self,
+        audio_paths: list[str],
+        reference_texts: list[str],
+    ) -> tuple[np.ndarray, str]:
+        """Combine voice prompts — uses base implementation for audio concatenation."""
+        return await _combine_voice_prompts(
+            audio_paths, reference_texts, sample_rate=KOKORO_SAMPLE_RATE
+        )
+
+    async def generate(
+        self,
+        text: str,
+        voice_prompt: dict,
+        language: str = "en",
+        seed: Optional[int] = None,
+        instruct: Optional[str] = None,
+    ) -> tuple[np.ndarray, int]:
+        """
+        Generate audio from text using Kokoro.
+
+        Args:
+            text: Text to synthesize
+            voice_prompt: Dict with kokoro_voice key
+            language: Language code
+            seed: Random seed for reproducibility
+            instruct: Not supported by Kokoro (ignored)
+
+        Returns:
+            Tuple of (audio_array, sample_rate)
+        """
+        await self.load_model()
+
+        voice_name = voice_prompt.get("preset_voice_id") or voice_prompt.get("kokoro_voice") or KOKORO_DEFAULT_VOICE
+
+        def _generate_sync():
+            import torch
+
+            if seed is not None:
+                torch.manual_seed(seed)
+                if torch.cuda.is_available():
+                    torch.cuda.manual_seed(seed)
+
+            pipeline = self._get_pipeline(language)
+
+            # Generate all chunks and concatenate
+            audio_chunks = []
+            for result in pipeline(text, voice=voice_name, speed=1.0):
+                if result.audio is not None:
+                    chunk = result.audio
+                    if isinstance(chunk, torch.Tensor):
+                        chunk = chunk.detach().cpu().numpy()
+                    audio_chunks.append(chunk.squeeze())
+
+            if not audio_chunks:
+                # Return 1 second of silence as fallback
+                return np.zeros(KOKORO_SAMPLE_RATE, dtype=np.float32), KOKORO_SAMPLE_RATE
+
+            audio = np.concatenate(audio_chunks)
+            return audio.astype(np.float32), KOKORO_SAMPLE_RATE
+
+        return await asyncio.to_thread(_generate_sync)

backend/backends/luxtts_backend.py

@@ -12,7 +12,14 @@ from typing import Optional, Tuple
 import numpy as np
 
 from . import TTSBackend
-from .base import is_model_cached, get_torch_device, combine_voice_prompts as _combine_voice_prompts, model_load_progress
+from .base import (
+    is_model_cached,
+    get_torch_device,
+    empty_device_cache,
+    manual_seed,
+    combine_voice_prompts as _combine_voice_prompts,
+    model_load_progress,
+)
 from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
 
 logger = logging.getLogger(__name__)
@@ -30,7 +37,7 @@ class LuxTTSBackend:
         self._device = None
 
     def _get_device(self) -> str:
-        return get_torch_device(allow_mps=True)
+        return get_torch_device(allow_mps=True, allow_xpu=True)
 
     def is_loaded(self) -> bool:
         return self.model is not None
@@ -69,9 +76,12 @@ class LuxTTSBackend:
 
             if device == "cpu":
                 import os
+
                 threads = os.cpu_count() or 4
                 self.model = LuxTTS(
-                    model_path=LUXTTS_HF_REPO, device="cpu", threads=min(threads, 8),
+                    model_path=LUXTTS_HF_REPO,
+                    device="cpu",
+                    threads=min(threads, 8),
                 )
             else:
                 self.model = LuxTTS(model_path=LUXTTS_HF_REPO, device=device)
@@ -81,12 +91,12 @@ class LuxTTSBackend:
     def unload_model(self) -> None:
         """Unload model to free memory."""
         if self.model is not None:
+            device = self.device
             del self.model
             self.model = None
+            self._device = None
 
-            import torch
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
+            empty_device_cache(device)
 
             logger.info("LuxTTS unloaded")
 
@@ -154,12 +164,8 @@ class LuxTTSBackend:
         await self.load_model()
 
         def _generate_sync():
-            import torch
-
             if seed is not None:
-                torch.manual_seed(seed)
-                if torch.cuda.is_available():
-                    torch.cuda.manual_seed(seed)
+                manual_seed(seed, self.device)
 
             wav = self.model.generate_speech(
                 text=text,

backend/backends/mlx_backend.py

@@ -6,7 +6,6 @@ from typing import Optional, List, Tuple
 import asyncio
 import logging
 import numpy as np
-import os
 from pathlib import Path
 
 logger = logging.getLogger(__name__)
@@ -21,6 +20,7 @@ ensure_original_qwen_config_cached()
 from . import TTSBackend, STTBackend, LANGUAGE_CODE_TO_NAME, WHISPER_HF_REPOS
 from .base import is_model_cached, combine_voice_prompts as _combine_voice_prompts, model_load_progress
 from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
+from ..utils.hf_offline_patch import force_offline_if_cached
 
 
 class MLXTTSBackend:
@@ -96,32 +96,13 @@ class MLXTTSBackend:
         model_name = f"qwen-tts-{model_size}"
         is_cached = self._is_model_cached(model_size)
 
-        # Force offline mode when cached to avoid network requests
-        original_hf_hub_offline = os.environ.get("HF_HUB_OFFLINE")
-        if is_cached:
-            os.environ["HF_HUB_OFFLINE"] = "1"
-            logger.info("[PATCH] Model %s is cached, forcing HF_HUB_OFFLINE=1 to avoid network requests", model_size)
+        with model_load_progress(model_name, is_cached):
+            from mlx_audio.tts import load
 
-        try:
-            with model_load_progress(model_name, is_cached):
-                from mlx_audio.tts import load
+            logger.info("Loading MLX TTS model %s...", model_size)
 
-                logger.info("Loading MLX TTS model %s...", model_size)
-
-                try:
-                    self.model = load(model_path)
-                except Exception as load_error:
-                    if is_cached and "offline" in str(load_error).lower():
-                        logger.warning("[PATCH] Offline load failed, trying with network: %s", load_error)
-                        os.environ.pop("HF_HUB_OFFLINE", None)
-                        self.model = load(model_path)
-                    else:
-                        raise
-        finally:
-            if original_hf_hub_offline is not None:
-                os.environ["HF_HUB_OFFLINE"] = original_hf_hub_offline
-            else:
-                os.environ.pop("HF_HUB_OFFLINE", None)
+            with force_offline_if_cached(is_cached, model_name):
+                self.model = load(model_path)
 
         self._current_model_size = model_size
         self.model_size = model_size
@@ -329,7 +310,9 @@ class MLXSTTBackend:
 
             model_name = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
             logger.info("Loading MLX Whisper model %s...", model_size)
-            self.model = load(model_name)
+
+            with force_offline_if_cached(is_cached, progress_model_name):
+                self.model = load(model_name)
 
         self.model_size = model_size
         logger.info("MLX Whisper model %s loaded successfully", model_size)
@@ -345,18 +328,20 @@ class MLXSTTBackend:
         self,
         audio_path: str,
         language: Optional[str] = None,
+        model_size: Optional[str] = None,
     ) -> str:
         """
         Transcribe audio to text.
 
         Args:
             audio_path: Path to audio file
-            language: Optional language hint (en or zh)
+            language: Optional language hint
+            model_size: Optional model size override
 
         Returns:
             Transcribed text
         """
-        await self.load_model_async(None)
+        await self.load_model_async(model_size)
 
         def _transcribe_sync():
             """Run synchronous transcription in thread pool."""

backend/backends/pytorch_backend.py

@@ -14,11 +14,14 @@ from . import TTSBackend, STTBackend, LANGUAGE_CODE_TO_NAME, WHISPER_HF_REPOS
 from .base import (
     is_model_cached,
     get_torch_device,
+    empty_device_cache,
+    manual_seed,
     combine_voice_prompts as _combine_voice_prompts,
     model_load_progress,
 )
 from ..utils.cache import get_cache_key, get_cached_voice_prompt, cache_voice_prompt
 from ..utils.audio import load_audio
+from ..utils.hf_offline_patch import force_offline_if_cached
 
 
 class PyTorchTTSBackend:
@@ -96,18 +99,28 @@ class PyTorchTTSBackend:
             model_path = self._get_model_path(model_size)
             logger.info("Loading TTS model %s on %s...", model_size, self.device)
 
-            if self.device == "cpu":
-                self.model = Qwen3TTSModel.from_pretrained(
-                    model_path,
-                    torch_dtype=torch.float32,
-                    low_cpu_mem_usage=False,
-                )
-            else:
-                self.model = Qwen3TTSModel.from_pretrained(
-                    model_path,
-                    device_map=self.device,
-                    torch_dtype=torch.bfloat16,
-                )
+            # Route both HF Hub and Transformers through a single cache root.
+            # On Windows local setups, model assets can otherwise split between
+            # .hf-cache/hub and .hf-cache/transformers, causing speech_tokenizer
+            # and preprocessor_config.json to fail to resolve during load.
+            from huggingface_hub import constants as hf_constants
+            tts_cache_dir = hf_constants.HF_HUB_CACHE
+
+            with force_offline_if_cached(is_cached, model_name):
+                if self.device == "cpu":
+                    self.model = Qwen3TTSModel.from_pretrained(
+                        model_path,
+                        cache_dir=tts_cache_dir,
+                        torch_dtype=torch.float32,
+                        low_cpu_mem_usage=False,
+                    )
+                else:
+                    self.model = Qwen3TTSModel.from_pretrained(
+                        model_path,
+                        cache_dir=tts_cache_dir,
+                        device_map=self.device,
+                        torch_dtype=torch.bfloat16,
+                    )
 
         self._current_model_size = model_size
         self.model_size = model_size
@@ -120,8 +133,7 @@ class PyTorchTTSBackend:
             self.model = None
             self._current_model_size = None
 
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
+            empty_device_cache(self.device)
 
             logger.info("TTS model unloaded")
 
@@ -213,9 +225,7 @@ class PyTorchTTSBackend:
             """Run synchronous generation in thread pool."""
             # Set seed if provided
             if seed is not None:
-                torch.manual_seed(seed)
-                if torch.cuda.is_available():
-                    torch.cuda.manual_seed(seed)
+                manual_seed(seed, self.device)
 
             # Generate audio - this is the blocking operation
             wavs, sample_rate = self.model.generate_voice_clone(
@@ -282,8 +292,9 @@ class PyTorchSTTBackend:
             model_name = WHISPER_HF_REPOS.get(model_size, f"openai/whisper-{model_size}")
             logger.info("Loading Whisper model %s on %s...", model_size, self.device)
 
-            self.processor = WhisperProcessor.from_pretrained(model_name)
-            self.model = WhisperForConditionalGeneration.from_pretrained(model_name)
+            with force_offline_if_cached(is_cached, progress_model_name):
+                self.processor = WhisperProcessor.from_pretrained(model_name)
+                self.model = WhisperForConditionalGeneration.from_pretrained(model_name)
 
         self.model.to(self.device)
         self.model_size = model_size
@@ -297,8 +308,7 @@ class PyTorchSTTBackend:
             self.model = None
             self.processor = None
 
-            if torch.cuda.is_available():
-                torch.cuda.empty_cache()
+            empty_device_cache(self.device)
 
             logger.info("Whisper model unloaded")
 
@@ -306,18 +316,20 @@ class PyTorchSTTBackend:
         self,
         audio_path: str,
         language: Optional[str] = None,
+        model_size: Optional[str] = None,
     ) -> str:
         """
         Transcribe audio to text.
 
         Args:
             audio_path: Path to audio file
-            language: Optional language hint (en or zh)
+            language: Optional language hint
+            model_size: Optional model size override
 
         Returns:
             Transcribed text
         """
-        await self.load_model_async(None)
+        await self.load_model_async(model_size)
 
         def _transcribe_sync():
             """Run synchronous transcription in thread pool."""

backend/backends/qwen_custom_voice_backend.py

@@ -0,0 +1,210 @@
+"""
+Qwen3-TTS CustomVoice backend implementation.
+
+Wraps the Qwen3-TTS-12Hz CustomVoice model for preset-speaker TTS with
+instruction-based style control. Uses the same qwen_tts library as the
+Base model (pytorch_backend.py) but loads a different checkpoint and
+calls generate_custom_voice() instead of generate_voice_clone().
+
+Key differences from the Base engine:
+  - Uses preset speakers (9 built-in voices) instead of zero-shot cloning
+  - Supports instruct parameter for tone/emotion/prosody control
+  - Two model sizes: 1.7B and 0.6B
+
+Languages supported: zh, en, ja, ko, de, fr, ru, pt, es, it
+"""
+
+import asyncio
+import logging
+from typing import Optional
+
+import numpy as np
+import torch
+
+from . import TTSBackend, LANGUAGE_CODE_TO_NAME
+from .base import (
+    is_model_cached,
+    get_torch_device,
+    combine_voice_prompts as _combine_voice_prompts,
+    model_load_progress,
+)
+
+logger = logging.getLogger(__name__)
+
+# ── Preset speakers ──────────────────────────────────────────────────
+
+# (speaker_id, display_name, gender, native_language_code, description)
+QWEN_CUSTOM_VOICES = [
+    ("Vivian", "Vivian", "female", "zh", "Bright, slightly edgy young female voice"),
+    ("Serena", "Serena", "female", "zh", "Warm, gentle young female voice"),
+    ("Uncle_Fu", "Uncle Fu", "male", "zh", "Seasoned male voice with a low, mellow timbre"),
+    ("Dylan", "Dylan", "male", "zh", "Youthful Beijing male voice with a clear, natural timbre"),
+    ("Eric", "Eric", "male", "zh", "Lively Chengdu male voice with a slightly husky brightness"),
+    ("Ryan", "Ryan", "male", "en", "Dynamic male voice with strong rhythmic drive"),
+    ("Aiden", "Aiden", "male", "en", "Sunny American male voice with a clear midrange"),
+    ("Ono_Anna", "Ono Anna", "female", "ja", "Playful Japanese female voice with a light, nimble timbre"),
+    ("Sohee", "Sohee", "female", "ko", "Warm Korean female voice with rich emotion"),
+]
+
+QWEN_CV_DEFAULT_SPEAKER = "Ryan"
+
+# HuggingFace repo IDs per model size
+QWEN_CV_HF_REPOS = {
+    "1.7B": "Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice",
+    "0.6B": "Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice",
+}
+
+
+class QwenCustomVoiceBackend:
+    """Qwen3-TTS CustomVoice backend — preset speakers with instruct control."""
+
+    def __init__(self, model_size: str = "1.7B"):
+        self.model = None
+        self.model_size = model_size
+        self.device = self._get_device()
+        self._current_model_size: Optional[str] = None
+
+    def _get_device(self) -> str:
+        return get_torch_device(allow_xpu=True, allow_directml=True)
+
+    def is_loaded(self) -> bool:
+        return self.model is not None
+
+    def _get_model_path(self, model_size: str) -> str:
+        if model_size not in QWEN_CV_HF_REPOS:
+            raise ValueError(f"Unknown model size: {model_size}")
+        return QWEN_CV_HF_REPOS[model_size]
+
+    def _is_model_cached(self, model_size: Optional[str] = None) -> bool:
+        size = model_size or self.model_size
+        return is_model_cached(self._get_model_path(size))
+
+    async def load_model_async(self, model_size: Optional[str] = None) -> None:
+        if model_size is None:
+            model_size = self.model_size
+
+        if self.model is not None and self._current_model_size == model_size:
+            return
+
+        if self.model is not None and self._current_model_size != model_size:
+            self.unload_model()
+
+        await asyncio.to_thread(self._load_model_sync, model_size)
+
+    # Alias for compatibility with the TTSBackend protocol
+    load_model = load_model_async
+
+    def _load_model_sync(self, model_size: str) -> None:
+        model_name = f"qwen-custom-voice-{model_size}"
+        is_cached = self._is_model_cached(model_size)
+
+        with model_load_progress(model_name, is_cached):
+            from qwen_tts import Qwen3TTSModel
+
+            model_path = self._get_model_path(model_size)
+            logger.info("Loading Qwen CustomVoice %s on %s...", model_size, self.device)
+
+            if self.device == "cpu":
+                self.model = Qwen3TTSModel.from_pretrained(
+                    model_path,
+                    torch_dtype=torch.float32,
+                    low_cpu_mem_usage=False,
+                )
+            else:
+                self.model = Qwen3TTSModel.from_pretrained(
+                    model_path,
+                    device_map=self.device,
+                    torch_dtype=torch.bfloat16,
+                )
+
+        self._current_model_size = model_size
+        self.model_size = model_size
+        logger.info("Qwen CustomVoice %s loaded successfully", model_size)
+
+    def unload_model(self) -> None:
+        if self.model is not None:
+            del self.model
+            self.model = None
+            self._current_model_size = None
+
+            if torch.cuda.is_available():
+                torch.cuda.empty_cache()
+
+            logger.info("Qwen CustomVoice unloaded")
+
+    async def create_voice_prompt(
+        self,
+        audio_path: str,
+        reference_text: str,
+        use_cache: bool = True,
+    ) -> tuple[dict, bool]:
+        """
+        Create voice prompt for CustomVoice.
+
+        CustomVoice doesn't use reference audio — it uses preset speakers.
+        When called for a cloned profile (fallback), uses the default speaker.
+        For preset profiles, the voice_prompt dict is built by the profile
+        service and bypasses this method entirely.
+        """
+        return {
+            "voice_type": "preset",
+            "preset_engine": "qwen_custom_voice",
+            "preset_voice_id": QWEN_CV_DEFAULT_SPEAKER,
+        }, False
+
+    async def combine_voice_prompts(
+        self,
+        audio_paths: list[str],
+        reference_texts: list[str],
+    ) -> tuple[np.ndarray, str]:
+        return await _combine_voice_prompts(audio_paths, reference_texts)
+
+    async def generate(
+        self,
+        text: str,
+        voice_prompt: dict,
+        language: str = "en",
+        seed: Optional[int] = None,
+        instruct: Optional[str] = None,
+    ) -> tuple[np.ndarray, int]:
+        """
+        Generate audio using Qwen CustomVoice.
+
+        Args:
+            text: Text to synthesize
+            voice_prompt: Dict with preset_voice_id (speaker name)
+            language: Language code (zh, en, ja, ko, etc.)
+            seed: Random seed for reproducibility
+            instruct: Natural language instruction for style control
+                      (e.g. "Speak in an angry tone", "Very happy")
+
+        Returns:
+            Tuple of (audio_array, sample_rate)
+        """
+        await self.load_model_async(None)
+
+        speaker = voice_prompt.get("preset_voice_id") or QWEN_CV_DEFAULT_SPEAKER
+
+        def _generate_sync():
+            if seed is not None:
+                torch.manual_seed(seed)
+                if torch.cuda.is_available():
+                    torch.cuda.manual_seed(seed)
+
+            lang_name = LANGUAGE_CODE_TO_NAME.get(language, "auto")
+
+            kwargs = {
+                "text": text,
+                "language": lang_name.capitalize() if lang_name != "auto" else "Auto",
+                "speaker": speaker,
+            }
+
+            # Only pass instruct if non-empty
+            if instruct:
+                kwargs["instruct"] = instruct
+
+            wavs, sample_rate = self.model.generate_custom_voice(**kwargs)
+            return wavs[0], sample_rate
+
+        audio, sample_rate = await asyncio.to_thread(_generate_sync)
+        return audio, sample_rate

backend/build_binary.py

@@ -34,9 +34,15 @@ def build_server(cuda=False):
     binary_name = "voicebox-server-cuda" if cuda else "voicebox-server"
 
     # PyInstaller arguments
+    # CUDA builds use --onedir so we can split the output into two archives:
+    #   1. Server core (~200-400MB) — versioned with the app
+    #   2. CUDA libs (~2GB) — versioned independently (only redownloaded on
+    #      CUDA toolkit / torch major version changes)
+    # CPU builds remain --onefile for simplicity.
+    pack_mode = "--onedir" if cuda else "--onefile"
     args = [
         "server.py",  # Use server.py as entry point instead of main.py
-        "--onefile",
+        pack_mode,
         "--name",
         binary_name,
     ]
@@ -46,6 +52,29 @@ def build_server(cuda=False):
     if platform.system() == "Windows":
         args.append("--noconsole")
 
+    # numpy 2.x / torch ABI mismatch fix: install memmove fallback for
+    # torch.from_numpy() before the app starts. Runtime hooks run after
+    # FrozenImporter is registered so frozen torch/numpy are importable.
+    # Paths are passed relative to backend_dir because os.chdir(backend_dir)
+    # runs before PyInstaller. Absolute paths would get baked into the
+    # generated .spec, breaking reproducible builds on other machines / CI.
+    args.extend(
+        [
+            "--runtime-hook",
+            "pyi_rth_numpy_compat.py",
+            # Stub torch.compiler.disable before transformers imports
+            # flex_attention, which otherwise triggers torch._dynamo →
+            # torch._numpy._ufuncs and crashes at module load under
+            # PyInstaller. See pyi_rth_torch_compiler_disable.py.
+            "--runtime-hook",
+            "pyi_rth_torch_compiler_disable.py",
+            # Per-module collection overrides (e.g. forcing scipy.stats._distn_infrastructure
+            # to bundle .py source alongside .pyc so the runtime hook can source-patch it).
+            "--additional-hooks-dir",
+            "pyi_hooks",
+        ]
+    )
+
     # Add local qwen_tts path if specified (for editable installs)
     qwen_tts_path = os.getenv("QWEN_TTS_PATH")
     if qwen_tts_path and Path(qwen_tts_path).exists():
@@ -80,6 +109,8 @@ def build_server(cuda=False):
             "--hidden-import",
             "backend.backends.pytorch_backend",
             "--hidden-import",
+            "backend.backends.qwen_custom_voice_backend",
+            "--hidden-import",
             "backend.utils.audio",
             "--hidden-import",
             "backend.utils.cache",
@@ -107,6 +138,11 @@ def build_server(cuda=False):
             "backend.backends.chatterbox_backend",
             "--hidden-import",
             "backend.backends.chatterbox_turbo_backend",
+            # chatterbox multilingual uses spacy_pkuseg for Chinese word
+            # segmentation, which ships pickled dict files (dicts/default.pkl)
+            # and native .so extensions that --hidden-import alone won't bundle.
+            "--collect-all",
+            "spacy_pkuseg",
             "--hidden-import",
             "backend.backends.luxtts_backend",
             "--hidden-import",
@@ -127,7 +163,13 @@ def build_server(cuda=False):
             "uvicorn",
             "--hidden-import",
             "sqlalchemy",
-            "--hidden-import",
+            # librosa uses lazy_loader which generates .pyi stub files at
+            # install time and reads them at runtime to discover submodules.
+            # --hidden-import alone doesn't bundle the stubs, causing
+            # "Cannot load imports from non-existent stub" at runtime.
+            "--collect-all",
+            "lazy_loader",
+            "--collect-all",
             "librosa",
             "--hidden-import",
             "soundfile",
@@ -159,9 +201,9 @@ def build_server(cuda=False):
             "tqdm",
             "--hidden-import",
             "requests",
-            "--collect-submodules",
-            "qwen_tts",
-            "--collect-data",
+            # qwen_tts uses inspect.getsource() at runtime to locate
+            # modeling_qwen3_tts.py — needs physical .py source files bundled
+            "--collect-all",
             "qwen_tts",
             # Fix for pkg_resources and jaraco namespace packages
             "--hidden-import",
@@ -180,6 +222,73 @@ def build_server(cuda=False):
             # needed by LuxTTS for text-to-phoneme conversion
             "--collect-all",
             "piper_phonemize",
+            # HumeAI TADA — speech-language model using Llama + flow matching
+            "--hidden-import",
+            "backend.backends.hume_backend",
+            "--hidden-import",
+            "tada",
+            "--hidden-import",
+            "tada.modules",
+            "--hidden-import",
+            "tada.modules.tada",
+            "--hidden-import",
+            "tada.modules.encoder",
+            "--hidden-import",
+            "tada.modules.decoder",
+            "--hidden-import",
+            "tada.modules.aligner",
+            "--hidden-import",
+            "tada.modules.acoustic_spkr_verf",
+            "--hidden-import",
+            "tada.nn",
+            "--hidden-import",
+            "tada.nn.vibevoice",
+            "--hidden-import",
+            "tada.utils",
+            "--hidden-import",
+            "tada.utils.gray_code",
+            "--hidden-import",
+            "tada.utils.text",
+            # DAC shim — provides dac.nn.layers.Snake1d without the real
+            # descript-audio-codec package (which pulls onnx/tensorboard via
+            # descript-audiotools). The shim is in backend/utils/dac_shim.py.
+            "--hidden-import",
+            "backend.utils.dac_shim",
+            "--hidden-import",
+            "torchaudio",
+            "--collect-submodules",
+            "tada",
+            # Kokoro 82M — lightweight TTS engine using misaki G2P
+            # collect-all is required because transformers introspects .py source
+            # files at runtime (e.g. _can_set_attn_implementation opens the class
+            # file); hidden-import alone only bundles bytecode.
+            "--hidden-import",
+            "backend.backends.kokoro_backend",
+            "--collect-all",
+            "kokoro",
+            # misaki ships G2P data files (dictionaries, phoneme tables)
+            # that must be bundled for espeak/en/ja/zh G2P to work
+            "--collect-all",
+            "misaki",
+            # language_tags ships JSON data files (index.json etc.) loaded at
+            # runtime via: misaki → phonemizer → segments → csvw → language_tags
+            "--collect-all",
+            "language_tags",
+            # espeakng_loader ships the entire espeak-ng-data directory (369 files)
+            # loaded at import time by misaki.espeak via get_data_path()
+            "--collect-all",
+            "espeakng_loader",
+            # spacy en_core_web_sm model — misaki.en tries to spacy.cli.download()
+            # at runtime if not found, which calls pip as a subprocess and crashes
+            # the frozen binary. Bundle the model so spacy.util.is_package() passes.
+            "--collect-all",
+            "en_core_web_sm",
+            "--copy-metadata",
+            "en_core_web_sm",
+            "--hidden-import",
+            "en_core_web_sm",
+            "--hidden-import",
+            "loguru",
         ]
     )
 
@@ -322,7 +431,7 @@ def build_server(cuda=False):
                     "torchvision",
                     "torchaudio",
                     "--index-url",
-                    "https://download.pytorch.org/whl/cu126",
+                    "https://download.pytorch.org/whl/cu128",
                     "--force-reinstall",
                     "-q",
                 ],

backend/config.py

@@ -19,7 +19,22 @@ if _custom_models_dir:
     logger.info("Model download path set to: %s", _custom_models_dir)
 
 # Default data directory (used in development)
-_data_dir = Path("data")
+_data_dir = Path("data").resolve()
+
+
+def _path_relative_to_any_data_dir(path: Path) -> Path | None:
+    """Extract the path within a data dir from an absolute or relative path."""
+    parts = path.parts
+    for idx, part in enumerate(parts):
+        if part != "data":
+            continue
+
+        tail = parts[idx + 1 :]
+        if tail:
+            return Path(*tail)
+        return Path()
+
+    return None
 
 
 def set_data_dir(path: str | Path):
@@ -30,9 +45,9 @@ def set_data_dir(path: str | Path):
         path: Path to the data directory
     """
     global _data_dir
-    _data_dir = Path(path)
+    _data_dir = Path(path).resolve()
     _data_dir.mkdir(parents=True, exist_ok=True)
-    logger.info("Data directory set to: %s", _data_dir.absolute())
+    logger.info("Data directory set to: %s", _data_dir)
 
 
 def get_data_dir() -> Path:
@@ -45,6 +60,38 @@ def get_data_dir() -> Path:
     return _data_dir
 
 
+def to_storage_path(path: str | Path) -> str:
+    """Convert a filesystem path to a DB-safe path relative to the data dir."""
+    resolved_path = Path(path).resolve()
+
+    relative_to_any_data_dir = _path_relative_to_any_data_dir(resolved_path)
+    if relative_to_any_data_dir is not None:
+        return str(relative_to_any_data_dir)
+
+    try:
+        return str(resolved_path.relative_to(_data_dir))
+    except ValueError:
+        return str(resolved_path)
+
+
+def resolve_storage_path(path: str | Path | None) -> Path | None:
+    """Resolve a DB-stored path against the configured data dir."""
+    if path is None:
+        return None
+
+    stored_path = Path(path)
+    if stored_path.is_absolute():
+        rebased_path = _path_relative_to_any_data_dir(stored_path)
+        if rebased_path is not None:
+            candidate = (_data_dir / rebased_path).resolve()
+            if candidate.exists() or not stored_path.exists():
+                return candidate
+
+        return stored_path
+
+    return (_data_dir / stored_path).resolve()
+
+
 def get_db_path() -> Path:
     """Get database file path."""
     return _data_dir / "voicebox.db"

backend/database/migrations.py

@@ -34,6 +34,7 @@ def run_migrations(engine) -> None:
     _migrate_generations(engine, inspector, tables)
     _migrate_effect_presets(engine, inspector, tables)
     _migrate_generation_versions(engine, inspector, tables)
+    _normalize_storage_paths(engine, tables)
 
 
 # -- helpers ---------------------------------------------------------------
@@ -134,6 +135,17 @@ def _migrate_profiles(engine, inspector, tables: set[str]) -> None:
         _add_column(engine, "profiles", "avatar_path VARCHAR", "avatar_path")
     if "effects_chain" not in columns:
         _add_column(engine, "profiles", "effects_chain TEXT", "effects_chain")
+    # Voice type system — v0.3.x
+    if "voice_type" not in columns:
+        _add_column(engine, "profiles", "voice_type VARCHAR DEFAULT 'cloned'", "voice_type")
+    if "preset_engine" not in columns:
+        _add_column(engine, "profiles", "preset_engine VARCHAR", "preset_engine")
+    if "preset_voice_id" not in columns:
+        _add_column(engine, "profiles", "preset_voice_id VARCHAR", "preset_voice_id")
+    if "design_prompt" not in columns:
+        _add_column(engine, "profiles", "design_prompt TEXT", "design_prompt")
+    if "default_engine" not in columns:
+        _add_column(engine, "profiles", "default_engine VARCHAR", "default_engine")
 
 
 def _migrate_generations(engine, inspector, tables: set[str]) -> None:
@@ -168,3 +180,47 @@ def _migrate_generation_versions(engine, inspector, tables: set[str]) -> None:
     columns = _get_columns(inspector, "generation_versions")
     if "source_version_id" not in columns:
         _add_column(engine, "generation_versions", "source_version_id VARCHAR", "source_version_id")
+
+
+def _normalize_storage_paths(engine, tables: set[str]) -> None:
+    """Normalize stored file paths to be relative to the configured data dir."""
+    from pathlib import Path
+
+    from ..config import get_data_dir, to_storage_path, resolve_storage_path
+
+    data_dir = get_data_dir()
+
+    path_columns = [
+        ("generations", "audio_path"),
+        ("generation_versions", "audio_path"),
+        ("profile_samples", "audio_path"),
+        ("profiles", "avatar_path"),
+    ]
+
+    total_fixed = 0
+    with engine.connect() as conn:
+        for table, column in path_columns:
+            if table not in tables:
+                continue
+            rows = conn.execute(
+                text(f"SELECT id, {column} FROM {table} WHERE {column} IS NOT NULL")
+            ).fetchall()
+            for row_id, path_val in rows:
+                if not path_val:
+                    continue
+                p = Path(path_val)
+                resolved = resolve_storage_path(p)
+                if resolved is None:
+                    continue
+
+                normalized = to_storage_path(resolved)
+
+                if normalized != path_val:
+                    conn.execute(
+                        text(f"UPDATE {table} SET {column} = :path WHERE id = :id"),
+                        {"path": normalized, "id": row_id},
+                    )
+                    total_fixed += 1
+        if total_fixed > 0:
+            conn.commit()
+            logger.info("Normalized %d stored file paths", total_fixed)

backend/database/models.py

@@ -10,7 +10,13 @@ Base = declarative_base()
 
 
 class VoiceProfile(Base):
-    """Voice profile."""
+    """Voice profile.
+
+    voice_type discriminates three flavours:
+      - "cloned"   — traditional reference-audio profiles (all cloning engines)
+      - "preset"   — engine-specific pre-built voice (e.g. Kokoro voices)
+      - "designed"  — text-described voice (e.g. Qwen CustomVoice, future)
+    """
 
     __tablename__ = "profiles"
 
@@ -20,6 +26,14 @@ class VoiceProfile(Base):
     language = Column(String, default="en")
     avatar_path = Column(String, nullable=True)
     effects_chain = Column(Text, nullable=True)
+
+    # Voice type system — added v0.3.x
+    voice_type = Column(String, default="cloned")  # "cloned" | "preset" | "designed"
+    preset_engine = Column(String, nullable=True)   # e.g. "kokoro" — only for preset
+    preset_voice_id = Column(String, nullable=True)  # e.g. "am_adam" — only for preset
+    design_prompt = Column(Text, nullable=True)      # text description — only for designed
+    default_engine = Column(String, nullable=True)   # auto-selected engine, locked for preset
+
     created_at = Column(DateTime, default=datetime.utcnow)
     updated_at = Column(DateTime, default=datetime.utcnow, onupdate=datetime.utcnow)
 

backend/database/seed.py

@@ -3,7 +3,8 @@
 import json
 import logging
 import uuid
-from pathlib import Path
+
+from .. import config
 
 logger = logging.getLogger(__name__)
 
@@ -25,7 +26,8 @@ def backfill_generation_versions(SessionLocal, Generation, GenerationVersion) ->
         for gen in generations:
             if gen.id in existing_version_gen_ids:
                 continue
-            if not Path(gen.audio_path).exists():
+            resolved_audio_path = config.resolve_storage_path(gen.audio_path)
+            if resolved_audio_path is None or not resolved_audio_path.exists():
                 continue
             version = GenerationVersion(
                 id=str(uuid.uuid4()),

backend/models.py

@@ -15,6 +15,11 @@ class VoiceProfileCreate(BaseModel):
     language: str = Field(
         default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it|he|ar|da|el|fi|hi|ms|nl|no|pl|sv|sw|tr)$"
     )
+    voice_type: Optional[str] = Field(default="cloned", pattern="^(cloned|preset|designed)$")
+    preset_engine: Optional[str] = Field(None, max_length=50)
+    preset_voice_id: Optional[str] = Field(None, max_length=100)
+    design_prompt: Optional[str] = Field(None, max_length=2000)
+    default_engine: Optional[str] = Field(None, max_length=50)
 
 
 class VoiceProfileResponse(BaseModel):
@@ -26,6 +31,11 @@ class VoiceProfileResponse(BaseModel):
     language: str
     avatar_path: Optional[str] = None
     effects_chain: Optional[List["EffectConfig"]] = None
+    voice_type: str = "cloned"
+    preset_engine: Optional[str] = None
+    preset_voice_id: Optional[str] = None
+    design_prompt: Optional[str] = None
+    default_engine: Optional[str] = None
     generation_count: int = 0
     sample_count: int = 0
     created_at: datetime
@@ -66,9 +76,9 @@ class GenerationRequest(BaseModel):
     text: str = Field(..., min_length=1, max_length=50000)
     language: str = Field(default="en", pattern="^(zh|en|ja|ko|de|fr|ru|pt|es|it|he|ar|da|el|fi|hi|ms|nl|no|pl|sv|sw|tr)$")
     seed: Optional[int] = Field(None, ge=0)
-    model_size: Optional[str] = Field(default="1.7B", pattern="^(1\\.7B|0\\.6B)$")
+    model_size: Optional[str] = Field(default="1.7B", pattern="^(1\\.7B|0\\.6B|1B|3B)$")
     instruct: Optional[str] = Field(None, max_length=500)
-    engine: Optional[str] = Field(default="qwen", pattern="^(qwen|luxtts|chatterbox|chatterbox_turbo)$")
+    engine: Optional[str] = Field(default="qwen", pattern="^(qwen|qwen_custom_voice|luxtts|chatterbox|chatterbox_turbo|tada|kokoro)$")
     max_chunk_chars: int = Field(
         default=800, ge=100, le=5000, description="Max characters per chunk for long text splitting"
     )
@@ -149,7 +159,8 @@ class HistoryListResponse(BaseModel):
 class TranscriptionRequest(BaseModel):
     """Request model for audio transcription."""
 
-    language: Optional[str] = Field(None, pattern="^(en|zh)$")
+    language: Optional[str] = Field(None, pattern="^(en|zh|ja|ko|de|fr|ru|pt|es|it)$")
+    model: Optional[str] = Field(None, pattern="^(base|small|medium|large|turbo)$")
 
 
 class TranscriptionResponse(BaseModel):
@@ -171,6 +182,7 @@ class HealthResponse(BaseModel):
     vram_used_mb: Optional[float] = None
     backend_type: Optional[str] = None  # Backend type (mlx or pytorch)
     backend_variant: Optional[str] = None  # Binary variant (cpu or cuda)
+    gpu_compatibility_warning: Optional[str] = None  # Warning if GPU arch unsupported
 
 
 class DirectoryCheck(BaseModel):

backend/pyi_hooks/hook-scipy.stats._distn_infrastructure.py

@@ -0,0 +1,12 @@
+"""
+Force scipy.stats._distn_infrastructure to be bundled with its .py source file
+alongside the .pyc bytecode.
+
+The runtime hook in backend/pyi_rth_torch_compiler_disable.py patches this
+module's source at load time (the module has a `del obj` at line 369 that
+raises NameError under PyInstaller's frozen importer). That patch reads the
+source via loader.get_source(), which only works if the .py file was
+actually collected into the bundle.
+"""
+
+module_collection_mode = "pyz+py"

backend/pyi_hooks/hook-transformers.masking_utils.py

@@ -0,0 +1,11 @@
+"""
+Force transformers.masking_utils to be bundled with its .py source alongside
+the .pyc bytecode so the runtime hook in
+backend/pyi_rth_torch_compiler_disable.py can source-patch it.
+
+The patch forces the torch<2.6 code path, bypassing `with TransformGetItemToIndex()`
+which our torch._dynamo no-op stub can't implement for real — the real context
+manager uses dynamo graph transforms to avoid `.item()` calls inside vmap.
+"""
+
+module_collection_mode = "pyz+py"

backend/pyi_rth_numpy_compat.py

@@ -0,0 +1,95 @@
+"""
+PyInstaller runtime hook: numpy 2.x / torch ABI mismatch fix.
+
+Problem
+-------
+torch is compiled against numpy 1.x headers. numpy 2.x changed the version
+number returned by PyArray_GetNDArrayCVersion() (0x01000009 → 0x02000000),
+so torch's is_numpy_available() returns False and every torch.from_numpy()
+call raises:
+
+    RuntimeError: Numpy is not available
+
+This surfaces as:
+
+    ValueError: Unable to create tensor, you should probably activate
+    padding with 'padding=True'
+
+during TTS generation (EncodecFeatureExtractor → BatchFeature.convert_to_tensors).
+
+Fix
+---
+Runtime hooks execute after PyInstaller's FrozenImporter is registered, so
+frozen torch/numpy are importable here. We start a background thread that
+waits for torch to finish loading then wraps torch.from_numpy with a ctypes
+memmove fallback that bypasses the C-level numpy ABI check entirely.
+
+This approach works with any numpy version and is safer than binary-patching
+libtorch_python.dylib (which risks PyArray_Descr struct layout mismatches).
+"""
+
+import sys
+import threading
+
+
+def _patch_torch_from_numpy():
+    import time
+
+    for _ in range(7200):  # poll up to 360 s at 50 ms intervals
+        time.sleep(0.05)
+        torch = sys.modules.get("torch")
+        if torch is None or not hasattr(torch, "from_numpy"):
+            continue
+        if getattr(torch, "_vb_from_numpy_patched", False):
+            return
+        try:
+            import ctypes
+            import numpy as np
+
+            _orig = torch.from_numpy
+
+            # Explicit numpy → torch dtype map. Silent fallback to float32 on
+            # unknown dtypes would reinterpret the memcpy'd bytes as fp32 and
+            # silently corrupt data (e.g. fp16 tensors from some TTS engines),
+            # so we raise instead.
+            dtype_map = {
+                "float16": _t.float16,
+                "float32": _t.float32,
+                "float64": _t.float64,
+                "int8": _t.int8,
+                "int16": _t.int16,
+                "int32": _t.int32,
+                "int64": _t.int64,
+                "uint8": _t.uint8,
+                "bool": _t.bool,
+                "complex64": _t.complex64,
+                "complex128": _t.complex128,
+            }
+
+            def _safe_from_numpy(
+                arr, _orig=_orig, _c=ctypes, _np=np, _t=torch, _map=dtype_map
+            ):
+                try:
+                    return _orig(arr)
+                except RuntimeError:
+                    a = _np.ascontiguousarray(arr)
+                    key = str(a.dtype)
+                    if key not in _map:
+                        raise TypeError(
+                            f"pyi_rth_numpy_compat: unsupported numpy dtype "
+                            f"{key!r} in torch.from_numpy fallback; add an "
+                            f"explicit mapping rather than silently copying "
+                            f"bytes into the wrong dtype."
+                        )
+                    out = _t.empty(list(a.shape), dtype=_map[key])
+                    _c.memmove(out.data_ptr(), a.ctypes.data, a.nbytes)
+                    return out
+
+            torch.from_numpy = _safe_from_numpy
+            torch._vb_from_numpy_patched = True
+        except Exception:
+            pass
+        return
+
+
+threading.Thread(target=_patch_torch_from_numpy, daemon=True).start()

backend/pyi_rth_torch_compiler_disable.py

@@ -0,0 +1,540 @@
+"""
+PyInstaller runtime hook: stub torch._dynamo to a no-op module.
+
+Problem
+-------
+transformers triggers torch._dynamo import at module-load time (not just
+when torch.compile is called) via class-body decorators:
+
+    transformers/modeling_utils.py:1984
+        @torch._dynamo.allow_in_graph
+        class PreTrainedModel(...)
+
+    transformers/integrations/flex_attention.py:61
+        @torch.compiler.disable(recursive=False)
+        class WrappedFlexAttention...
+
+The attribute access triggers torch.__getattr__ -> importlib.import_module
+-> torch._dynamo -> torch._dynamo.utils imports torch._numpy ->
+torch._numpy._ndarray imports torch._numpy._ufuncs, which crashes under
+PyInstaller with:
+
+    File "torch/_numpy/_ufuncs.py", line 235, in <module>
+        vars()[name] = deco_binary_ufunc(ufunc)
+    NameError: name 'name' is not defined
+
+(The module-level `for name in _binary: vars()[name] = ...` pattern works
+in a regular venv but fails in the PyInstaller bundle. Root cause is in
+PyInstaller's importer / bytecode pipeline and not easily fixed upstream.)
+
+Surfaces as Kokoro failing to load when `from transformers import AlbertModel`
+trips the decorator chain.
+
+Fix
+---
+voicebox never uses torch.compile / torch._dynamo for inference, so we
+replace torch._dynamo with a no-op stub module before transformers is
+imported. Any attribute access on the stub returns a pass-through callable,
+so `@torch._dynamo.allow_in_graph`, `torch._dynamo.is_compiling()`,
+`torch._dynamo.mark_static_address(...)`, etc. all work.
+
+This hook is pure sys.modules manipulation — we deliberately do NOT import
+torch here. Runtime hooks run before the app starts and before
+pyi_rth_numpy_compat has had a chance to patch torch.from_numpy (it runs
+in a background thread, waiting for torch to appear in sys.modules).
+Eager-importing torch at hook time would trip the numpy ABI issue and
+kill the server process at startup.
+
+torch.compiler.disable does not need a separate stub: its implementation
+is effectively `import torch._dynamo; return torch._dynamo.disable(...)`,
+and since our stub is in sys.modules, that call resolves to our no-op
+_NoopDecorator pass-through.
+"""
+
+import os
+import sys
+import tempfile
+import types
+
+
+# Diagnostics — log hook activity to a file alongside the bundle so we can
+# see what's happening when the server is run as a sidecar (no stdout for
+# runtime hook prints). Safe no-op if the file can't be written.
+_DIAG_PATH = os.path.join(tempfile.gettempdir(), "voicebox_rt_hook.log")
+
+
+def _diag(msg: str) -> None:
+    try:
+        with open(_DIAG_PATH, "a", encoding="utf-8") as f:
+            f.write(msg + "\n")
+    except Exception:
+        pass
+
+
+_HOOK_VERSION = "v6-masking-utils-finder"
+_diag(f"=== runtime hook load @ pid={os.getpid()} version={_HOOK_VERSION} ===")
+
+
+class _NoopDecorator:
+    """Multi-role no-op: decorator, falsey predicate, and context manager.
+
+    Returned from calls like `torch._dynamo.disable()` (decorator),
+    `torch._dynamo.is_compiling()` (predicate used in `if not ...`), and
+    `with torch._dynamo._trace_wrapped_higher_order_op.TransformGetItemToIndex():`
+    (context manager used to scope an fx graph transformation).
+
+    By implementing __call__, __bool__, __enter__, __exit__, and __iter__ we
+    cover every use pattern we've seen transformers/torch use on a stubbed
+    object. Anything we haven't covered will raise a clearer error than a
+    silent wrong-result.
+    """
+
+    __slots__ = ()
+
+    def __call__(self, fn=None, *args, **kwargs):
+        return fn
+
+    def __bool__(self) -> bool:
+        return False
+
+    def __enter__(self):
+        return self
+
+    def __exit__(self, exc_type, exc_value, traceback):
+        return False  # don't suppress exceptions
+
+    def __iter__(self):
+        return iter(())
+
+
+_noop_decorator_singleton = _NoopDecorator()
+
+
+def _noop_callable(*args, **kwargs):
+    # Direct-decorator use: @torch._dynamo.foo (no parens) — fn is positional
+    if len(args) == 1 and callable(args[0]) and not kwargs:
+        return args[0]
+    # Side-effect call with non-callable arg(s), e.g. mark_static_address(tensor)
+    return _noop_decorator_singleton
+
+
+class _NoopDynamoModule(types.ModuleType):
+    """Permissive stub: every attribute is a pass-through callable.
+
+    Covers attributes transformers hits at import time (allow_in_graph) and
+    runtime (is_compiling, mark_static_address, reset, disable, ...).
+
+    Dunder attributes (__file__, __spec__, __loader__, ...) raise
+    AttributeError so probes like inspect.getmodule() — which does
+    `hasattr(m, '__file__')` then `os.path.normpath(m.__file__)` — see the
+    module as having no source file and fall through to its normal
+    handling, instead of receiving a function and blowing up.
+    """
+
+    def __getattr__(self, name: str):
+        if name.startswith("__") and name.endswith("__"):
+            raise AttributeError(name)
+        return _noop_callable
+
+
+class _DynamoLoader:
+    """Loader used by _DynamoMetaPathFinder to materialise stub submodules."""
+
+    def create_module(self, spec):
+        return _NoopDynamoModule(spec.name)
+
+    def exec_module(self, module):
+        # Mark every stub submodule as a package so deeper submodule imports
+        # (`from torch._dynamo.X.Y import Z`) keep working.
+        module.__path__ = []
+
+
+class _DynamoMetaPathFinder:
+    """Resolve any `torch._dynamo.X[.Y...]` import to a no-op stub module.
+
+    Without this, `from torch._dynamo._trace_wrapped_higher_order_op import X`
+    fails even with torch._dynamo pre-populated in sys.modules — Python's
+    import machinery checks the parent's __path__ and then looks up the
+    child, and we need to provide both.
+    """
+
+    def find_spec(self, fullname, path=None, target=None):
+        if fullname == "torch._dynamo":
+            return None  # handled by the pre-populated sys.modules entry
+        if not fullname.startswith("torch._dynamo."):
+            return None
+        from importlib.machinery import ModuleSpec
+
+        return ModuleSpec(fullname, _DynamoLoader(), is_package=True)
+
+
+class _TransformersStubFinder:
+    """Replace specific transformers submodules with no-op stubs.
+
+    Two modules are targeted:
+
+    1. transformers.utils.auto_docstring
+       The real @auto_docstring decorator loads
+       transformers.models.auto.modeling_auto just to build example docstrings,
+       which drags in GenerationMixin -> candidate_generator -> sklearn.metrics
+       -> scipy.stats._distn_infrastructure and trips (2) below. Docstrings
+       aren't functional for inference, so a pass-through decorator is safe.
+
+    2. transformers.generation.candidate_generator
+       Imported at module scope by transformers.generation.utils. It does
+       `from sklearn.metrics import roc_curve` at module load, which triggers:
+
+            File "scipy/stats/_distn_infrastructure.py", line 369, in <module>
+            NameError: name 'obj' is not defined
+
+       This is a PyInstaller-specific module-load bug (same class as the
+       torch._numpy._ufuncs crash) where a module-level `for obj in [s for s
+       in dir() if ...]` loop evaluates to empty in the bundle, leaving `obj`
+       unbound before `del obj`.
+
+       The exports (AssistedCandidateGenerator, EarlyExitCandidateGenerator,
+       etc.) are speculative-decoding helpers voicebox's TTS engines do not
+       use; a no-op stub module satisfies the imports.
+    """
+
+    _STUBBED_MODULES = frozenset(
+        {
+            "transformers.utils.auto_docstring",
+            "transformers.generation.candidate_generator",
+        }
+    )
+
+    def find_spec(self, fullname, path=None, target=None):
+        if fullname not in self._STUBBED_MODULES:
+            return None
+        from importlib.machinery import ModuleSpec
+
+        return ModuleSpec(fullname, _NoopStubLoader(), is_package=False)
+
+
+class _NoopStubLoader:
+    def create_module(self, spec):
+        return _NoopDynamoModule(spec.name)
+
+    def exec_module(self, module):
+        # _NoopDynamoModule.__getattr__ already answers every non-dunder
+        # attribute with a pass-through callable, which satisfies
+        # `from stubbed_module import X` for any X.
+        pass
+
+
+def _patch_scipy_distn_source(source: str) -> str:
+    """Replace the unsafe `del obj` with a no-op that survives when obj is unbound.
+
+    Returns the input unchanged if the target line isn't found (e.g. scipy
+    version has changed).
+    """
+    target = "\ndel obj\n"
+    replacement = "\nglobals().pop('obj', None)\n"
+    if target in source:
+        return source.replace(target, replacement, 1)
+    return source
+
+
+def _patch_masking_utils_source(source: str) -> str:
+    """Force torch<2.6 code path in transformers.masking_utils.
+
+    The torch>=2.6 path uses `with TransformGetItemToIndex():` to allow
+    `.item()` calls inside vmap. That context manager is implemented via
+    torch._dynamo graph transforms, which our stub doesn't reproduce — it's
+    a no-op. The inner `_vmap_for_bhqkv` then crashes with:
+
+        RuntimeError: vmap: It looks like you're calling .item() on a Tensor.
+
+    Forcing the torch<2.6 flag off selects sdpa_mask_older_torch which uses
+    a different vmap pattern that does not hit .item() and does not need
+    TransformGetItemToIndex.
+    """
+    target = 'is_torch_greater_or_equal("2.6", accept_dev=True)'
+    # Find the specific line that assigns _is_torch_greater_or_equal_than_2_6
+    if "_is_torch_greater_or_equal_than_2_6 = " + target in source:
+        return source.replace(
+            "_is_torch_greater_or_equal_than_2_6 = " + target,
+            "_is_torch_greater_or_equal_than_2_6 = False",
+            1,
+        )
+    return source
+
+
+class _SourcePatchingFinder:
+    """Generic delegate-and-wrap meta-path finder that patches a module's
+    source before exec'ing.
+
+    Subclasses declare `target` (module fullname) and `patch` (str->str).
+    Requires the target module's .py source to be bundled (use a PyInstaller
+    hook setting module_collection_mode = "pyz+py").
+    """
+
+    target: str
+    patch_fn: callable = None
+
+    def find_spec(self, fullname, path=None, target=None):
+        if fullname != self.target:
+            return None
+        for finder in sys.meta_path:
+            if finder is self:
+                continue
+            find = getattr(finder, "find_spec", None)
+            if find is None:
+                continue
+            try:
+                real_spec = find(fullname, path, target)
+            except Exception:
+                continue
+            if real_spec is None or real_spec.loader is None:
+                continue
+            real_spec.loader = _SourcePatchLoader(real_spec.loader, self.patch_fn)
+            return real_spec
+        return None
+
+
+class _SourcePatchLoader:
+    """Delegate loader that reads source via get_source, applies a patch, and
+    compile/exec's the patched text into module.__dict__.
+    """
+
+    def __init__(self, inner, patch_fn):
+        self._inner = inner
+        self._patch_fn = patch_fn
+
+    def __getattr__(self, name):
+        return getattr(self._inner, name)
+
+    def create_module(self, spec):
+        return self._inner.create_module(spec)
+
+    def exec_module(self, module):
+        source = None
+        try:
+            source = self._inner.get_source(module.__name__)
+        except Exception as e:
+            _diag(f"[source-patch] get_source({module.__name__}) failed: {e!r}")
+
+        if not source:
+            _diag(
+                f"[source-patch] no source for {module.__name__}; "
+                "falling back to inner exec_module (patch NOT applied)"
+            )
+            self._inner.exec_module(module)
+            return
+
+        patched = self._patch_fn(source)
+        _diag(
+            f"[source-patch] {module.__name__}: "
+            f"patched={patched is not source}, len={len(patched)}"
+        )
+        spec = module.__spec__
+        if spec is not None and spec.submodule_search_locations is not None:
+            module.__path__ = spec.submodule_search_locations
+        filename = getattr(self._inner, "path", module.__name__)
+        exec(compile(patched, filename, "exec"), module.__dict__)
+        _diag(f"[source-patch] {module.__name__} OK")
+
+
+class _MaskingUtilsFinder(_SourcePatchingFinder):
+    target = "transformers.masking_utils"
+    patch_fn = staticmethod(_patch_masking_utils_source)
+
+
+class _ScipyDistnPatchingFinder:
+    """Delegate-and-wrap finder for scipy.stats._distn_infrastructure.
+
+    That module ends with:
+
+        for obj in [s for s in dir() if s.startswith('_doc_')]:
+            exec('del ' + obj)
+        del obj
+
+    In the PyInstaller bundle the list comprehension evaluates to empty
+    (module-level dir() under the frozen importer returns a different scope
+    than CPython's normal module-exec path — same class of bug as the
+    torch._numpy._ufuncs crash). The for loop body doesn't run, `obj` is
+    never bound, and the trailing `del obj` raises NameError at module load.
+
+    This kills every downstream module: librosa (needed by nearly every TTS
+    engine for mel filters) -> scipy.signal -> scipy.stats -> here.
+
+    Workaround: delegate to the real loader, but pre-bind `obj = None` in the
+    module namespace before its bytecode runs. If the for loop executes, each
+    iteration overwrites the sentinel via STORE_NAME (normal behaviour). If it
+    doesn't, `del obj` removes the sentinel and module load succeeds. The
+    `_doc_*` cleanup this line was meant to do is purely cosmetic — those vars
+    stay in the module namespace but nothing references them after this point.
+    """
+
+    _TARGET = "scipy.stats._distn_infrastructure"
+
+    def find_spec(self, fullname, path=None, target=None):
+        if fullname != self._TARGET:
+            return None
+        _diag(f"[scipy-finder] match: {fullname}, path={path!r}")
+        # Delegate to the other finders to locate the real spec
+        for finder in sys.meta_path:
+            if finder is self:
+                continue
+            find = getattr(finder, "find_spec", None)
+            if find is None:
+                continue
+            try:
+                real_spec = find(fullname, path, target)
+            except Exception as e:
+                _diag(f"[scipy-finder] inner finder {type(finder).__name__} raised: {e}")
+                continue
+            if real_spec is None:
+                continue
+            if real_spec.loader is None:
+                _diag(f"[scipy-finder] {type(finder).__name__} returned spec with loader=None")
+                continue
+            _diag(
+                f"[scipy-finder] wrapped loader from "
+                f"{type(finder).__name__} -> {type(real_spec.loader).__name__}"
+            )
+            real_spec.loader = _ScipyDistnPrebindLoader(real_spec.loader)
+            return real_spec
+        _diag("[scipy-finder] NO inner finder returned a spec")
+        return None
+
+
+class _ScipyDistnPrebindLoader:
+    """Thin wrapper that pre-binds `obj = None` before delegating to the
+    real PyInstaller loader.
+
+    Every other attribute/method delegates to the inner loader — PyiFrozenLoader
+    is a rich FileLoader/ExecutionLoader with get_code/get_source/get_filename/
+    is_package/get_resource_reader/etc., any of which Python's import machinery
+    or 3rd-party code may call on spec.loader. Forwarding via __getattr__
+    avoids breaking any of those paths (and preserves @_check_name contracts
+    because the decorated methods run on the inner instance where self.name
+    matches spec.name).
+    """
+
+    def __init__(self, inner):
+        self._inner = inner
+
+    def __getattr__(self, name):
+        # __getattr__ fires only for attrs not already on self, so delegate
+        # everything that isn't create_module/exec_module (or __getattr__/init).
+        return getattr(self._inner, name)
+
+    def create_module(self, spec):
+        return self._inner.create_module(spec)
+
+    def exec_module(self, module):
+        # Compile scipy's module source with the problematic line patched.
+        #
+        # The real module ends with:
+        #     for obj in [s for s in dir() if s.startswith('_doc_')]:
+        #         exec('del ' + obj)
+        #     del obj
+        #
+        # Under PyInstaller's frozen importer, `del obj` raises NameError
+        # even when we pre-populate module.__dict__['obj'] — the pre-compiled
+        # .pyc bytecode interacts with the frame setup differently than a
+        # fresh compile() from source. Easiest robust fix: read the source
+        # and replace `del obj` with a safe variant before compiling.
+        #
+        # Requires the .py source to be bundled alongside the .pyc — see
+        # backend/pyi_hooks/hook-scipy.stats._distn_infrastructure.py.
+        source = None
+        try:
+            source = self._inner.get_source(module.__name__)
+        except Exception as e:
+            _diag(f"[scipy-loader] get_source failed: {e!r}")
+
+        if source:
+            patched = _patch_scipy_distn_source(source)
+            _diag(
+                f"[scipy-loader] source-patch path: patched={patched is not source}, "
+                f"len={len(patched)}"
+            )
+            spec = module.__spec__
+            if spec is not None and spec.submodule_search_locations is not None:
+                module.__path__ = spec.submodule_search_locations
+            filename = getattr(self._inner, "path", module.__name__)
+            bytecode = compile(patched, filename, "exec")
+            try:
+                exec(bytecode, module.__dict__)
+            except Exception as e:
+                _diag(f"[scipy-loader] patched exec raised {type(e).__name__}: {e!r}")
+                raise
+            _diag(f"[scipy-loader] exec_module {module.__name__} OK (source-patched)")
+            return
+
+        # No source available — fall back to the pre-bind approach. This is
+        # best-effort; if the frozen .pyc really does see a different `obj`
+        # slot, this will still crash, but we've done all we can without
+        # source.
+        _diag("[scipy-loader] no source available; falling back to pre-bind")
+        module.__dict__["obj"] = None
+        self._inner.exec_module(module)
+
+
+def _install_dynamo_stub() -> None:
+    stub = _NoopDynamoModule("torch._dynamo")
+    # Mark as a package so `from torch._dynamo.X import Y` imports work
+    # (Python's import machinery checks parent.__path__ before looking up
+    # the child).
+    stub.__path__ = []
+    # torch._dynamo.config is accessed as a nested attribute namespace
+    # (e.g. `torch._dynamo.config.capture_scalar_outputs = True`), so use
+    # a permissive module so any attr read returns a no-op and sets succeed.
+    stub.config = _NoopDynamoModule("torch._dynamo.config")
+    stub.config.__path__ = []
+    sys.modules["torch._dynamo"] = stub
+    sys.modules["torch._dynamo.config"] = stub.config
+
+    # Finders:
+    #  - torch._dynamo.* submodules -> no-op stubs
+    #  - transformers.utils.auto_docstring and
+    #    transformers.generation.candidate_generator -> no-op stubs (both
+    #    paths reach sklearn -> scipy.stats which trips a separate crash)
+    #  - scipy.stats._distn_infrastructure -> real load with `obj` pre-bound,
+    #    so librosa -> scipy.signal -> scipy.stats loads cleanly
+    for _FinderCls in (
+        _DynamoMetaPathFinder,
+        _TransformersStubFinder,
+        _ScipyDistnPatchingFinder,
+        _MaskingUtilsFinder,
+    ):
+        try:
+            sys.meta_path.insert(0, _FinderCls())
+            _diag(f"installed finder: {_FinderCls.__name__}")
+        except Exception as e:
+            _diag(f"FAILED to install {_FinderCls.__name__}: {e!r}")
+    _diag(
+        "final sys.meta_path head: "
+        + ", ".join(type(f).__name__ for f in sys.meta_path[:6])
+    )
+
+    # If torch is already imported, also set the attribute on the package so
+    # `torch._dynamo` resolves to our stub without triggering torch.__getattr__
+    # (which would lazy-import the real module and crash).
+    torch_mod = sys.modules.get("torch")
+    if torch_mod is not None:
+        torch_mod._dynamo = stub
+
+
+try:
+    _install_dynamo_stub()
+except Exception as _e:
+    # Best effort. If this fails the original NameError will surface when
+    # transformers imports — no worse than not patching at all.
+    _diag(f"_install_dynamo_stub FAILED: {_e!r}")
+
+# NOTE: we deliberately do NOT import torch or torch.compiler here.
+# Runtime hooks run before the app starts and before pyi_rth_numpy_compat
+# has had a chance to patch torch.from_numpy (it runs in a background
+# thread, waiting for torch to appear in sys.modules). Importing torch
+# eagerly at hook time would trip the numpy ABI issue and kill the
+# server process at startup.
+#
+# torch.compiler.disable does not need an explicit stub: its
+# implementation is effectively `import torch._dynamo; return
+# torch._dynamo.disable(fn, recursive, reason=reason)`, and since our
+# stub is installed in sys.modules, that call resolves to our no-op
+# _NoopDecorator pass-through.

backend/requirements.txt

@@ -8,7 +8,7 @@ sqlalchemy>=2.0.0
 alembic>=1.13.0
 
 # ML models
-torch>=2.1.0
+torch>=2.2.0
 transformers>=4.36.0,<=4.57.6
 accelerate>=0.26.0
 huggingface_hub>=0.20.0
@@ -33,10 +33,24 @@ s3tokenizer
 spacy-pkuseg
 pyloudnorm
 
+# HumeAI TADA sub-dependencies (hume-tada itself is installed
+# --no-deps in the setup script because it pins torch>=2.7,<2.8.
+# descript-audio-codec is NOT installed — it pulls onnx/tensorboard
+# via descript-audiotools.  A lightweight shim in utils/dac_shim.py
+# provides the only class TADA uses: Snake1d.)
+torchaudio
+
+# Kokoro TTS (lightweight 82M-param engine)
+kokoro>=0.9.4
+misaki[en,ja,zh]>=0.9.4
+# spacy model for misaki English G2P — must be pre-installed or misaki
+# tries spacy.cli.download() at runtime which crashes frozen builds
+en_core_web_sm @ https://github.com/explosion/spacy-models/releases/download/en_core_web_sm-3.8.0/en_core_web_sm-3.8.0-py3-none-any.whl
+
 # Audio processing
 librosa>=0.10.0
 soundfile>=0.12.0
-numpy>=1.24.0
+numpy>=1.24.0,<2.0
 numba>=0.60.0,<0.61.0
 pedalboard>=0.9.0
 

backend/routes/audio.py

@@ -1,12 +1,10 @@
 """Audio file serving endpoints."""
 
-from pathlib import Path
-
 from fastapi import APIRouter, Depends, HTTPException
 from fastapi.responses import FileResponse
 from sqlalchemy.orm import Session
 
-from .. import models
+from .. import config, models
 from ..services import history
 from ..database import get_db
 
@@ -22,8 +20,8 @@ async def get_version_audio(version_id: str, db: Session = Depends(get_db)):
     if not version:
         raise HTTPException(status_code=404, detail="Version not found")
 
-    audio_path = Path(version.audio_path)
-    if not audio_path.exists():
+    audio_path = config.resolve_storage_path(version.audio_path)
+    if audio_path is None or not audio_path.exists():
         raise HTTPException(status_code=404, detail="Audio file not found")
 
     return FileResponse(
@@ -40,8 +38,8 @@ async def get_audio(generation_id: str, db: Session = Depends(get_db)):
     if not generation:
         raise HTTPException(status_code=404, detail="Generation not found")
 
-    audio_path = Path(generation.audio_path)
-    if not audio_path.exists():
+    audio_path = config.resolve_storage_path(generation.audio_path)
+    if audio_path is None or not audio_path.exists():
         raise HTTPException(status_code=404, detail="Audio file not found")
 
     return FileResponse(
@@ -60,8 +58,8 @@ async def get_sample_audio(sample_id: str, db: Session = Depends(get_db)):
     if not sample:
         raise HTTPException(status_code=404, detail="Sample not found")
 
-    audio_path = Path(sample.audio_path)
-    if not audio_path.exists():
+    audio_path = config.resolve_storage_path(sample.audio_path)
+    if audio_path is None or not audio_path.exists():
         raise HTTPException(status_code=404, detail="Audio file not found")
 
     return FileResponse(

backend/routes/effects.py

@@ -3,7 +3,6 @@
 import asyncio
 import io
 import uuid
-from pathlib import Path
 
 from fastapi import APIRouter, Depends, HTTPException
 from fastapi.responses import StreamingResponse
@@ -41,10 +40,11 @@ async def preview_effects(
     all_versions = versions_mod.list_versions(generation_id, db)
     clean_version = next((v for v in all_versions if v.effects_chain is None), None)
     source_path = clean_version.audio_path if clean_version else gen.audio_path
-    if not source_path or not Path(source_path).exists():
+    resolved_source_path = config.resolve_storage_path(source_path)
+    if resolved_source_path is None or not resolved_source_path.exists():
         raise HTTPException(status_code=404, detail="Source audio file not found")
 
-    audio, sample_rate = await asyncio.to_thread(load_audio, source_path)
+    audio, sample_rate = await asyncio.to_thread(load_audio, str(resolved_source_path))
     processed = await asyncio.to_thread(apply_effects, audio, sample_rate, chain_dicts)
 
     import soundfile as sf
@@ -193,10 +193,11 @@ async def apply_effects_to_generation(
             source_path = clean_version.audio_path
             source_version_id = clean_version.id
 
-    if not source_path or not Path(source_path).exists():
+    resolved_source_path = config.resolve_storage_path(source_path)
+    if resolved_source_path is None or not resolved_source_path.exists():
         raise HTTPException(status_code=404, detail="Source audio file not found")
 
-    audio, sample_rate = await asyncio.to_thread(load_audio, source_path)
+    audio, sample_rate = await asyncio.to_thread(load_audio, str(resolved_source_path))
     processed_audio = await asyncio.to_thread(apply_effects, audio, sample_rate, chain_dicts)
 
     version_id = str(uuid.uuid4())
@@ -208,7 +209,7 @@ async def apply_effects_to_generation(
     version = versions_mod.create_version(
         generation_id=generation_id,
         label=label,
-        audio_path=str(processed_path),
+        audio_path=config.to_storage_path(processed_path),
         db=db,
         effects_chain=chain_dicts,
         is_default=data.set_as_default,

backend/routes/generations.py

@@ -1,12 +1,15 @@
 """TTS generation endpoints."""
 
 import asyncio
+import logging
 import uuid
 
 from fastapi import APIRouter, Depends, HTTPException
 from fastapi.responses import StreamingResponse
 from sqlalchemy.orm import Session
 
+logger = logging.getLogger(__name__)
+
 from .. import models
 from ..services import history, profiles, tts
 from ..database import Generation as DBGeneration, VoiceProfile as DBVoiceProfile, get_db
@@ -17,6 +20,10 @@ from ..utils.tasks import get_task_manager
 router = APIRouter()
 
 
+def _resolve_generation_engine(data: models.GenerationRequest, profile) -> str:
+    return data.engine or getattr(profile, "default_engine", None) or getattr(profile, "preset_engine", None) or "qwen"
+
+
 @router.post("/generate", response_model=models.GenerationResponse)
 async def generate_speech(
     data: models.GenerationRequest,
@@ -32,7 +39,12 @@ async def generate_speech(
 
     from ..backends import engine_has_model_sizes
 
-    engine = data.engine or "qwen"
+    engine = _resolve_generation_engine(data, profile)
+    try:
+        profiles.validate_profile_engine(profile, engine)
+    except ValueError as e:
+        raise HTTPException(status_code=400, detail=str(e))
+
     model_size = (data.model_size or "1.7B") if engine_has_model_sizes(engine) else None
 
     generation = await history.create_generation(
@@ -181,25 +193,28 @@ async def get_generation_status(generation_id: str, db: Session = Depends(get_db
     import json
 
     async def event_stream():
-        while True:
-            db.expire_all()
-            gen = db.query(DBGeneration).filter_by(id=generation_id).first()
-            if not gen:
-                yield f"data: {json.dumps({'status': 'not_found', 'id': generation_id})}\n\n"
-                return
+        try:
+            while True:
+                db.expire_all()
+                gen = db.query(DBGeneration).filter_by(id=generation_id).first()
+                if not gen:
+                    yield f"data: {json.dumps({'status': 'not_found', 'id': generation_id})}\n\n"
+                    return
 
-            payload = {
-                "id": gen.id,
-                "status": gen.status or "completed",
-                "duration": gen.duration,
-                "error": gen.error,
-            }
-            yield f"data: {json.dumps(payload)}\n\n"
+                payload = {
+                    "id": gen.id,
+                    "status": gen.status or "completed",
+                    "duration": gen.duration,
+                    "error": gen.error,
+                }
+                yield f"data: {json.dumps(payload)}\n\n"
 
-            if (gen.status or "completed") in ("completed", "failed"):
-                return
+                if (gen.status or "completed") in ("completed", "failed"):
+                    return
 
-            await asyncio.sleep(1)
+                await asyncio.sleep(1)
+        except (BrokenPipeError, ConnectionResetError, asyncio.CancelledError):
+            logger.debug("SSE client disconnected for generation %s", generation_id)
 
     return StreamingResponse(
         event_stream(),
@@ -224,7 +239,11 @@ async def stream_speech(
     if not profile:
         raise HTTPException(status_code=404, detail="Profile not found")
 
-    engine = data.engine or "qwen"
+    engine = _resolve_generation_engine(data, profile)
+    try:
+        profiles.validate_profile_engine(profile, engine)
+    except ValueError as e:
+        raise HTTPException(status_code=400, detail=str(e))
     tts_model = get_tts_backend_for_engine(engine)
     model_size = data.model_size or "1.7B"
 
@@ -257,6 +276,22 @@ async def stream_speech(
         trim_fn=trim_fn,
     )
 
+    effects_chain_config = None
+    if data.effects_chain is not None:
+        effects_chain_config = [e.model_dump() for e in data.effects_chain]
+    elif profile.effects_chain:
+        import json as _json
+
+        try:
+            effects_chain_config = _json.loads(profile.effects_chain)
+        except Exception:
+            effects_chain_config = None
+
+    if effects_chain_config:
+        from ..utils.effects import apply_effects
+
+        audio = apply_effects(audio, sample_rate, effects_chain_config)
+
     if data.normalize:
         from ..utils.audio import normalize_audio
 
@@ -265,9 +300,12 @@ async def stream_speech(
     wav_bytes = tts.audio_to_wav_bytes(audio, sample_rate)
 
     async def _wav_stream():
-        chunk_size = 64 * 1024
-        for i in range(0, len(wav_bytes), chunk_size):
-            yield wav_bytes[i : i + chunk_size]
+        try:
+            chunk_size = 64 * 1024
+            for i in range(0, len(wav_bytes), chunk_size):
+                yield wav_bytes[i : i + chunk_size]
+        except (BrokenPipeError, ConnectionResetError, asyncio.CancelledError):
+            logger.debug("Client disconnected during audio stream")
 
     return StreamingResponse(
         _wav_stream(),

backend/routes/health.py

@@ -3,9 +3,11 @@
 import asyncio
 import os
 import signal
+from pathlib import Path
 
 import torch
 from fastapi import APIRouter, Depends
+from fastapi.responses import FileResponse
 from sqlalchemy.orm import Session
 
 from .. import config, models
@@ -15,12 +17,18 @@ from ..utils.platform_detect import get_backend_type
 
 router = APIRouter()
 
+# Frontend build directory — present in Docker, absent in dev/API-only mode
+_frontend_dir = Path(__file__).resolve().parent.parent.parent / "frontend"
+
 
 @router.get("/")
 async def root():
-    """Root endpoint."""
+    """Root endpoint — serves SPA index.html in Docker, JSON otherwise."""
     from .. import __version__
 
+    index = _frontend_dir / "index.html"
+    if index.is_file():
+        return FileResponse(index, media_type="text/html")
     return {"message": "voicebox API", "version": __version__}
 
 
@@ -85,6 +93,12 @@ async def health():
     except ImportError:
         pass
 
+    gpu_compat_warning = None
+    if has_cuda:
+        from ..backends.base import check_cuda_compatibility
+
+        _compatible, gpu_compat_warning = check_cuda_compatibility()
+
     gpu_available = has_cuda or has_mps or has_xpu or has_directml or backend_type == "mlx"
 
     gpu_type = None
@@ -102,6 +116,11 @@ async def health():
     vram_used = None
     if has_cuda:
         vram_used = torch.cuda.memory_allocated() / 1024 / 1024
+    elif has_xpu:
+        try:
+            vram_used = torch.xpu.memory_allocated() / 1024 / 1024
+        except Exception:
+            pass  # memory_allocated() may not be available on all IPEX versions
 
     model_loaded = False
     model_size = None
@@ -154,7 +173,11 @@ async def health():
         gpu_type=gpu_type,
         vram_used_mb=vram_used,
         backend_type=backend_type,
-        backend_variant=os.environ.get("VOICEBOX_BACKEND_VARIANT", "cuda" if torch.cuda.is_available() else "cpu"),
+        backend_variant=os.environ.get(
+            "VOICEBOX_BACKEND_VARIANT",
+            "cuda" if torch.cuda.is_available() else ("xpu" if has_xpu else "cpu"),
+        ),
+        gpu_compatibility_warning=gpu_compat_warning,
     )
 
 
@@ -199,7 +222,7 @@ async def filesystem_health():
 
         checks.append(
             models.DirectoryCheck(
-                path=str(dir_path),
+                path=str(dir_path.resolve()),
                 exists=exists,
                 writable=writable,
                 error=error,

backend/routes/history.py

@@ -1,13 +1,12 @@
 """Generation history endpoints."""
 
 import io
-from pathlib import Path
 
 from fastapi import APIRouter, Depends, File, HTTPException, UploadFile
 from fastapi.responses import FileResponse, StreamingResponse
 from sqlalchemy.orm import Session
 
-from .. import models
+from .. import config, models
 from ..services import export_import, history
 from ..app import safe_content_disposition
 from ..database import Generation as DBGeneration, VoiceProfile as DBVoiceProfile, get_db
@@ -63,6 +62,13 @@ async def import_generation(
         raise HTTPException(status_code=500, detail=str(e))
 
 
+@router.delete("/history/failed")
+async def clear_failed_generations(db: Session = Depends(get_db)):
+    """Delete every generation with status='failed'. Used by the UI's 'Clear failed' button (#410)."""
+    count = await history.delete_failed_generations(db)
+    return {"deleted": count}
+
+
 @router.get("/history/{generation_id}", response_model=models.HistoryResponse)
 async def get_generation(
     generation_id: str,
@@ -90,6 +96,11 @@ async def get_generation(
         duration=gen.duration,
         seed=gen.seed,
         instruct=gen.instruct,
+        engine=gen.engine or "qwen",
+        model_size=gen.model_size,
+        status=gen.status or "completed",
+        error=gen.error,
+        is_favorited=bool(gen.is_favorited),
         created_at=gen.created_at,
     )
 
@@ -162,8 +173,8 @@ async def export_generation_audio(
     if not generation.audio_path:
         raise HTTPException(status_code=404, detail="Generation has no audio file")
 
-    audio_path = Path(generation.audio_path)
-    if not audio_path.is_file():
+    audio_path = config.resolve_storage_path(generation.audio_path)
+    if audio_path is None or not audio_path.is_file():
         raise HTTPException(status_code=404, detail="Audio file not found")
 
     safe_text = "".join(c for c in generation.text[:30] if c.isalnum() or c in (" ", "-", "_")).strip()

backend/routes/profiles.py

@@ -1,6 +1,8 @@
 """Voice profile endpoints."""
 
 import io
+import json as _json
+import logging
 import tempfile
 from datetime import datetime
 from pathlib import Path
@@ -15,6 +17,8 @@ from ..database import VoiceProfile as DBVoiceProfile, get_db
 from ..services import channels, export_import, profiles
 from ..services.profiles import _profile_to_response
 
+logger = logging.getLogger(__name__)
+
 router = APIRouter()
 
 
@@ -62,6 +66,46 @@ async def import_profile(
         raise HTTPException(status_code=500, detail=str(e))
 
 
+# ── Preset Voice Endpoints ───────────────────────────────────────────
+# These MUST be declared before /profiles/{profile_id} to avoid the
+# wildcard swallowing "presets" as a profile_id.
+
+
+@router.get("/profiles/presets/{engine}")
+async def list_preset_voices(engine: str):
+    """List available preset voices for an engine."""
+    if engine == "kokoro":
+        from ..backends.kokoro_backend import KOKORO_VOICES
+
+        return {
+            "engine": engine,
+            "voices": [
+                {
+                    "voice_id": vid,
+                    "name": name,
+                    "gender": gender,
+                    "language": lang,
+                }
+                for vid, name, gender, lang in KOKORO_VOICES
+            ],
+        }
+    if engine == "qwen_custom_voice":
+        from ..backends.qwen_custom_voice_backend import QWEN_CUSTOM_VOICES
+
+        return {
+            "engine": engine,
+            "voices": [
+                {
+                    "voice_id": speaker_id,
+                    "name": display_name,
+                    "gender": gender,
+                    "language": lang,
+                }
+                for speaker_id, display_name, gender, lang, _desc in QWEN_CUSTOM_VOICES
+            ],
+        }
+    return {"engine": engine, "voices": []}
+
 @router.get("/profiles/{profile_id}", response_model=models.VoiceProfileResponse)
 async def get_profile(
     profile_id: str,
@@ -102,6 +146,10 @@ async def delete_profile(
     return {"message": "Profile deleted successfully"}
 
 
+SAMPLE_MAX_FILE_SIZE = 50 * 1024 * 1024  # 50 MB
+SAMPLE_UPLOAD_CHUNK_SIZE = 1024 * 1024  # 1 MB
+
+
 @router.post("/profiles/{profile_id}/samples", response_model=models.ProfileSampleResponse)
 async def add_profile_sample(
     profile_id: str,
@@ -115,8 +163,16 @@ async def add_profile_sample(
     file_suffix = _uploaded_ext if _uploaded_ext in _allowed_audio_exts else ".wav"
 
     with tempfile.NamedTemporaryFile(suffix=file_suffix, delete=False) as tmp:
-        content = await file.read()
-        tmp.write(content)
+        total_size = 0
+        while chunk := await file.read(SAMPLE_UPLOAD_CHUNK_SIZE):
+            total_size += len(chunk)
+            if total_size > SAMPLE_MAX_FILE_SIZE:
+                Path(tmp.name).unlink(missing_ok=True)
+                raise HTTPException(
+                    status_code=413,
+                    detail=f"File too large (max {SAMPLE_MAX_FILE_SIZE // (1024 * 1024)} MB)",
+                )
+            tmp.write(chunk)
         tmp_path = tmp.name
 
     try:
@@ -203,8 +259,8 @@ async def get_profile_avatar(
     if not profile.avatar_path:
         raise HTTPException(status_code=404, detail="No avatar found for this profile")
 
-    avatar_path = Path(profile.avatar_path)
-    if not avatar_path.exists():
+    avatar_path = config.resolve_storage_path(profile.avatar_path)
+    if avatar_path is None or not avatar_path.exists():
         raise HTTPException(status_code=404, detail="Avatar file not found")
 
     return FileResponse(avatar_path)
@@ -285,8 +341,6 @@ async def update_profile_effects(
     db: Session = Depends(get_db),
 ):
     """Set or clear the default effects chain for a voice profile."""
-    import json as _json
-
     profile = db.query(DBVoiceProfile).filter_by(id=profile_id).first()
     if not profile:
         raise HTTPException(status_code=404, detail="Profile not found")

backend/routes/transcription.py

@@ -20,6 +20,7 @@ UPLOAD_CHUNK_SIZE = 1024 * 1024  # 1MB
 async def transcribe_audio(
     file: UploadFile = File(...),
     language: str | None = Form(None),
+    model: str | None = Form(None),
 ):
     """Transcribe audio file to text."""
     with tempfile.NamedTemporaryFile(suffix=".wav", delete=False) as tmp:
@@ -29,14 +30,23 @@ async def transcribe_audio(
 
     try:
         from ..utils.audio import load_audio
+        from ..backends import WHISPER_HF_REPOS
 
         audio, sr = await asyncio.to_thread(load_audio, tmp_path)
         duration = len(audio) / sr
 
         whisper_model = transcribe.get_whisper_model()
-        model_size = whisper_model.model_size
+        model_size = model if model else whisper_model.model_size
 
-        if not whisper_model.is_loaded() and not whisper_model._is_model_cached(model_size):
+        valid_sizes = list(WHISPER_HF_REPOS.keys())
+        if model_size not in valid_sizes:
+            raise HTTPException(
+                status_code=400,
+                detail=f"Invalid model size '{model_size}'. Must be one of: {', '.join(valid_sizes)}",
+            )
+
+        already_loaded = whisper_model.is_loaded() and whisper_model.model_size == model_size
+        if not already_loaded and not whisper_model._is_model_cached(model_size):
             progress_model_name = f"whisper-{model_size}"
             task_manager = get_task_manager()
 
@@ -59,7 +69,7 @@ async def transcribe_audio(
                 },
             )
 
-        text = await whisper_model.transcribe(tmp_path, language)
+        text = await whisper_model.transcribe(tmp_path, language, model_size)
 
         return models.TranscriptionResponse(
             text=text,

backend/server.py

@@ -105,6 +105,11 @@ def _start_parent_watchdog(parent_pid, data_dir=None):
     This is the clean shutdown mechanism: instead of the Tauri app trying to
     forcefully kill the server (which spawns console windows on Windows),
     the server monitors its parent and shuts itself down gracefully.
+
+    The Tauri app writes a .keep-running sentinel file to data_dir before
+    exiting when "remain running after close" is enabled. This is a reliable
+    fallback for the HTTP /watchdog/disable request, which can race with
+    process exit on Windows.
     """
     import os
     import signal
@@ -164,6 +169,19 @@ def _start_parent_watchdog(parent_pid, data_dir=None):
         if not alive:
             watchdog_logger.warning(f"Parent PID {parent_pid} not found on first check — disabling watchdog")
             return
+        # Clear any stale .keep-running sentinel from a previous session. The
+        # sentinel is only removed by the watchdog when it's consumed during a
+        # grace period; if the HTTP /watchdog/disable path wins the race on a
+        # "keep running" exit, the sentinel is left on disk. Wipe it here so a
+        # future session can't inherit that stale signal.
+        if data_dir:
+            stale = os.path.join(data_dir, ".keep-running")
+            if os.path.exists(stale):
+                try:
+                    os.remove(stale)
+                    watchdog_logger.info("Removed stale .keep-running sentinel from previous session")
+                except OSError as e:
+                    watchdog_logger.warning(f"Failed to remove stale sentinel: {e}")
         while True:
             if _watchdog_disabled:
                 watchdog_logger.info("Watchdog disabled (keep server running), stopping monitor")
@@ -178,6 +196,18 @@ def _start_parent_watchdog(parent_pid, data_dir=None):
                 if _watchdog_disabled:
                     watchdog_logger.info("Watchdog was disabled during grace period, keeping server alive")
                     return
+                # Check for sentinel file written by Tauri before exit.
+                # This catches the case where the HTTP disable request
+                # didn't arrive before the parent process died (common
+                # on Windows where process teardown is fast).
+                sentinel = os.path.join(data_dir, ".keep-running") if data_dir else None
+                if sentinel and os.path.exists(sentinel):
+                    watchdog_logger.info("Found .keep-running sentinel file, keeping server alive")
+                    try:
+                        os.remove(sentinel)
+                    except OSError:
+                        pass
+                    return
                 watchdog_logger.info("Watchdog still enabled after grace period, shutting down server...")
                 if sys.platform == "win32":
                     # sys.exit triggers SystemExit, allowing uvicorn to run

backend/services/cuda.py

@@ -1,16 +1,23 @@
 """
-CUDA backend binary download, assembly, and verification.
+CUDA backend download, assembly, and verification.
 
-Downloads split parts of the CUDA-enabled voicebox-server binary from
-GitHub Releases, reassembles them, verifies integrity via SHA-256,
-and places the binary in the app's data directory for use on next
-backend restart.
+Downloads two archives from GitHub Releases:
+  1. Server core (voicebox-server-cuda.tar.gz) — the exe + non-NVIDIA deps,
+     versioned with the app.
+  2. CUDA libs (cuda-libs-{version}.tar.gz) — NVIDIA runtime libraries,
+     versioned independently (only redownloaded on CUDA toolkit bump).
+
+Both archives are extracted into {data_dir}/backends/cuda/ which forms the
+complete PyInstaller --onedir directory structure that torch expects.
 """
 
+import asyncio
 import hashlib
+import json
 import logging
 import os
 import sys
+import tarfile
 from pathlib import Path
 from typing import Optional
 
@@ -24,6 +31,16 @@ GITHUB_RELEASES_URL = "https://github.com/jamiepine/voicebox/releases/download"
 
 PROGRESS_KEY = "cuda-backend"
 
+# The current expected CUDA libs version.  Bump this when we change the
+# CUDA toolkit version or torch's CUDA dependency changes (e.g. cu126 -> cu128).
+CUDA_LIBS_VERSION = "cu128-v1"
+
+# Prevents concurrent download_cuda_binary() calls from racing on the same
+# temp file.  The auto-update background task and the manual HTTP endpoint
+# can both invoke download_cuda_binary(); without this lock the progress-
+# manager status check is a TOCTOU race.
+_download_lock = asyncio.Lock()
+
 
 def get_backends_dir() -> Path:
     """Directory where downloaded backend binaries are stored."""
@@ -32,21 +49,46 @@ def get_backends_dir() -> Path:
     return d
 
 
-def get_cuda_binary_name() -> str:
-    """Platform-specific CUDA binary filename."""
+def get_cuda_dir() -> Path:
+    """Directory where the CUDA backend (onedir) is extracted."""
+    d = get_backends_dir() / "cuda"
+    d.mkdir(parents=True, exist_ok=True)
+    return d
+
+
+def get_cuda_exe_name() -> str:
+    """Platform-specific CUDA executable filename."""
     if sys.platform == "win32":
         return "voicebox-server-cuda.exe"
     return "voicebox-server-cuda"
 
 
 def get_cuda_binary_path() -> Optional[Path]:
-    """Return path to CUDA binary if it exists."""
-    p = get_backends_dir() / get_cuda_binary_name()
+    """Return path to the CUDA executable if it exists inside the onedir."""
+    p = get_cuda_dir() / get_cuda_exe_name()
     if p.exists():
         return p
     return None
 
 
+def get_cuda_libs_manifest_path() -> Path:
+    """Path to the cuda-libs.json manifest inside the CUDA dir."""
+    return get_cuda_dir() / "cuda-libs.json"
+
+
+def get_installed_cuda_libs_version() -> Optional[str]:
+    """Read the installed CUDA libs version from cuda-libs.json, or None."""
+    manifest_path = get_cuda_libs_manifest_path()
+    if not manifest_path.exists():
+        return None
+    try:
+        data = json.loads(manifest_path.read_text())
+        return data.get("version")
+    except Exception as e:
+        logger.warning(f"Could not read cuda-libs.json: {e}")
+        return None
+
+
 def is_cuda_active() -> bool:
     """Check if the current process is the CUDA binary.
 
@@ -60,140 +102,252 @@ def get_cuda_status() -> dict:
     progress_manager = get_progress_manager()
     cuda_path = get_cuda_binary_path()
     progress = progress_manager.get_progress(PROGRESS_KEY)
+    cuda_libs_version = get_installed_cuda_libs_version()
 
     return {
         "available": cuda_path is not None,
         "active": is_cuda_active(),
         "binary_path": str(cuda_path) if cuda_path else None,
+        "cuda_libs_version": cuda_libs_version,
         "downloading": progress is not None and progress.get("status") == "downloading",
         "download_progress": progress,
     }
 
 
-async def download_cuda_binary(version: Optional[str] = None):
-    """Download the CUDA backend binary from GitHub Releases.
+def _needs_server_download(version: Optional[str] = None) -> bool:
+    """Check if the server core archive needs to be (re)downloaded."""
+    cuda_path = get_cuda_binary_path()
+    if not cuda_path:
+        return True
+    # Check if the binary version matches the expected app version
+    installed = get_cuda_binary_version()
+    expected = version or __version__
+    if expected.startswith("v"):
+        expected = expected[1:]
+    return installed != expected
 
-    Downloads split parts listed in a manifest file, concatenates them,
-    and verifies the SHA-256 checksum for integrity. Atomic write
-    (temp file -> rename).
+
+def _needs_cuda_libs_download() -> bool:
+    """Check if the CUDA libs archive needs to be (re)downloaded."""
+    installed = get_installed_cuda_libs_version()
+    if installed is None:
+        return True
+    return installed != CUDA_LIBS_VERSION
+
+
+async def _download_and_extract_archive(
+    client,
+    url: str,
+    sha256_url: Optional[str],
+    dest_dir: Path,
+    label: str,
+    progress_offset: int,
+    total_size: int,
+):
+    """Download a .tar.gz archive and extract it into dest_dir.
 
     Args:
-        version: Version tag (e.g. "v0.2.0"). Defaults to current app version.
+        client: httpx.AsyncClient
+        url: URL of the .tar.gz archive
+        sha256_url: URL of the .sha256 checksum file (optional)
+        dest_dir: Directory to extract into
+        label: Human-readable label for progress updates
+        progress_offset: Byte offset for progress reporting (when downloading
+            multiple archives sequentially)
+        total_size: Total bytes across all downloads (for progress bar)
     """
+    progress = get_progress_manager()
+    temp_path = dest_dir / f".download-{label.replace(' ', '-')}.tmp"
+
+    # Clean up leftover partial download
+    if temp_path.exists():
+        temp_path.unlink()
+
+    # Fetch expected checksum (fail-fast: never extract an unverified archive)
+    expected_sha = None
+    if sha256_url:
+        try:
+            sha_resp = await client.get(sha256_url)
+            sha_resp.raise_for_status()
+            expected_sha = sha_resp.text.strip().split()[0]
+            logger.info(f"{label}: expected SHA-256: {expected_sha[:16]}...")
+        except Exception as e:
+            raise RuntimeError(f"{label}: failed to fetch checksum from {sha256_url}") from e
+
+    # Stream download, verify, and extract — always clean up temp file
+    downloaded = 0
+    try:
+        async with client.stream("GET", url) as response:
+            response.raise_for_status()
+            with open(temp_path, "wb") as f:
+                async for chunk in response.aiter_bytes(chunk_size=1024 * 1024):
+                    f.write(chunk)
+                    downloaded += len(chunk)
+                    progress.update_progress(
+                        PROGRESS_KEY,
+                        current=progress_offset + downloaded,
+                        total=total_size,
+                        filename=f"Downloading {label}",
+                        status="downloading",
+                    )
+
+        # Verify integrity
+        if expected_sha:
+            progress.update_progress(
+                PROGRESS_KEY,
+                current=progress_offset + downloaded,
+                total=total_size,
+                filename=f"Verifying {label}...",
+                status="downloading",
+            )
+            sha256 = hashlib.sha256()
+            with open(temp_path, "rb") as f:
+                while True:
+                    data = f.read(1024 * 1024)
+                    if not data:
+                        break
+                    sha256.update(data)
+            actual = sha256.hexdigest()
+            if actual != expected_sha:
+                raise ValueError(
+                    f"{label} integrity check failed: expected {expected_sha[:16]}..., got {actual[:16]}..."
+                )
+            logger.info(f"{label}: integrity verified")
+
+        # Extract (use data filter for path traversal protection on Python 3.12+)
+        progress.update_progress(
+            PROGRESS_KEY,
+            current=progress_offset + downloaded,
+            total=total_size,
+            filename=f"Extracting {label}...",
+            status="downloading",
+        )
+        with tarfile.open(temp_path, "r:gz") as tar:
+            if sys.version_info >= (3, 12):
+                tar.extractall(path=dest_dir, filter="data")
+            else:
+                tar.extractall(path=dest_dir)
+
+        logger.info(f"{label}: extracted to {dest_dir}")
+    finally:
+        if temp_path.exists():
+            temp_path.unlink()
+    return downloaded
+
+
+async def download_cuda_binary(version: Optional[str] = None):
+    """Download the CUDA backend (server core + CUDA libs if needed).
+
+    Downloads both archives from GitHub Releases, extracts them into
+    {data_dir}/backends/cuda/, and writes the cuda-libs.json manifest.
+
+    Only downloads what's needed:
+    - Server core: always redownloaded (versioned with app)
+    - CUDA libs: only if missing or version mismatch
+
+    Args:
+        version: Version tag (e.g. "v0.3.0"). Defaults to current app version.
+    """
+    if _download_lock.locked():
+        logger.info("CUDA download already in progress, skipping duplicate request")
+        return
+    async with _download_lock:
+        await _download_cuda_binary_locked(version)
+
+
+async def _download_cuda_binary_locked(version: Optional[str] = None):
+    """Inner implementation of download_cuda_binary, called under _download_lock."""
     import httpx
 
     if version is None:
         version = f"v{__version__}"
 
     progress = get_progress_manager()
-    binary_name = get_cuda_binary_name()
-    dest_dir = get_backends_dir()
-    final_path = dest_dir / binary_name
-    temp_path = dest_dir / f"{binary_name}.download"
+    cuda_dir = get_cuda_dir()
 
-    # Clean up any leftover partial download
-    if temp_path.exists():
-        temp_path.unlink()
+    need_server = _needs_server_download(version)
+    need_libs = _needs_cuda_libs_download()
 
-    logger.info(f"Starting CUDA backend download for {version}")
+    if not need_server and not need_libs:
+        logger.info("CUDA backend is up to date, nothing to download")
+        return
+
+    logger.info(
+        f"Starting CUDA backend download for {version} "
+        f"(server={'yes' if need_server else 'cached'}, "
+        f"libs={'yes' if need_libs else 'cached'})"
+    )
     progress.update_progress(
-        PROGRESS_KEY, current=0, total=0,
-        filename="Fetching manifest...", status="downloading",
+        PROGRESS_KEY,
+        current=0,
+        total=0,
+        filename="Preparing download...",
+        status="downloading",
     )
 
     base_url = f"{GITHUB_RELEASES_URL}/{version}"
-    stem = Path(binary_name).stem  # voicebox-server-cuda
+    server_archive = "voicebox-server-cuda.tar.gz"
+    libs_archive = f"cuda-libs-{CUDA_LIBS_VERSION}.tar.gz"
 
     try:
         async with httpx.AsyncClient(follow_redirects=True, timeout=30.0) as client:
-            # Fetch the manifest (list of split part filenames)
-            manifest_url = f"{base_url}/{stem}.manifest"
-            manifest_resp = await client.get(manifest_url)
-            manifest_resp.raise_for_status()
-            parts = [p.strip() for p in manifest_resp.text.strip().splitlines() if p.strip()]
-
-            if not parts:
-                raise ValueError("Empty manifest — no split parts found")
-
-            logger.info(f"Found {len(parts)} split parts to download")
-
-            # Fetch expected checksum (optional — for integrity verification)
-            expected_sha = None
-            try:
-                sha_url = f"{base_url}/{stem}.sha256"
-                sha_resp = await client.get(sha_url)
-                if sha_resp.status_code == 200:
-                    # Format: "sha256hex  filename\n"
-                    expected_sha = sha_resp.text.strip().split()[0]
-                    logger.info(f"Expected SHA-256: {expected_sha[:16]}...")
-            except Exception as e:
-                logger.warning(f"Could not fetch checksum file — skipping verification: {e}")
-
-            # Get total size across all parts by issuing HEAD requests
+            # Estimate total download size
             total_size = 0
-            for part_name in parts:
+            if need_server:
                 try:
-                    head_resp = await client.head(f"{base_url}/{part_name}")
-                    content_length = int(head_resp.headers.get("content-length", 0))
-                    total_size += content_length
+                    head = await client.head(f"{base_url}/{server_archive}")
+                    total_size += int(head.headers.get("content-length", 0))
                 except Exception:
                     pass
+            if need_libs:
+                try:
+                    head = await client.head(f"{base_url}/{libs_archive}")
+                    total_size += int(head.headers.get("content-length", 0))
+                except Exception:
+                    pass
+
             logger.info(f"Total download size: {total_size / 1024 / 1024:.1f} MB")
 
-            # Download and concatenate parts
-            total_downloaded = 0
-            with open(temp_path, "wb") as f:
-                for i, part_name in enumerate(parts):
-                    part_url = f"{base_url}/{part_name}"
-                    logger.info(f"Downloading part {i + 1}/{len(parts)}: {part_name}")
+            offset = 0
 
-                    async with client.stream("GET", part_url) as response:
-                        response.raise_for_status()
-                        async for chunk in response.aiter_bytes(chunk_size=1024 * 1024):
-                            f.write(chunk)
-                            total_downloaded += len(chunk)
-                            progress.update_progress(
-                                PROGRESS_KEY, current=total_downloaded, total=total_size,
-                                filename=f"Downloading CUDA backend ({i + 1}/{len(parts)})",
-                                status="downloading",
-                            )
-
-        # Verify integrity if checksum was available
-        if expected_sha:
-            progress.update_progress(
-                PROGRESS_KEY, current=total_downloaded, total=total_downloaded,
-                filename="Verifying integrity...", status="downloading",
-            )
-            sha256 = hashlib.sha256()
-            with open(temp_path, "rb") as f:
-                while True:
-                    chunk = f.read(1024 * 1024)
-                    if not chunk:
-                        break
-                    sha256.update(chunk)
-
-            actual = sha256.hexdigest()
-            if actual != expected_sha:
-                raise ValueError(
-                    f"Integrity check failed: expected {expected_sha[:16]}..., "
-                    f"got {actual[:16]}..."
+            # Download server core
+            if need_server:
+                server_downloaded = await _download_and_extract_archive(
+                    client,
+                    url=f"{base_url}/{server_archive}",
+                    sha256_url=f"{base_url}/{server_archive}.sha256",
+                    dest_dir=cuda_dir,
+                    label="CUDA server",
+                    progress_offset=offset,
+                    total_size=total_size,
                 )
-            logger.info(f"Integrity verified: {actual[:16]}...")
+                offset += server_downloaded
 
-        # Atomic move into place (replace handles existing target on all platforms)
-        temp_path.replace(final_path)
+                # Make executable on Unix
+                exe_path = cuda_dir / get_cuda_exe_name()
+                if sys.platform != "win32" and exe_path.exists():
+                    exe_path.chmod(0o755)
 
-        # Make executable on Unix
-        if sys.platform != "win32":
-            final_path.chmod(0o755)
+            # Download CUDA libs
+            if need_libs:
+                await _download_and_extract_archive(
+                    client,
+                    url=f"{base_url}/{libs_archive}",
+                    sha256_url=f"{base_url}/{libs_archive}.sha256",
+                    dest_dir=cuda_dir,
+                    label="CUDA libraries",
+                    progress_offset=offset,
+                    total_size=total_size,
+                )
 
-        logger.info(f"CUDA backend downloaded to {final_path}")
+                # Write local cuda-libs.json manifest
+                manifest = {"version": CUDA_LIBS_VERSION}
+                get_cuda_libs_manifest_path().write_text(json.dumps(manifest, indent=2) + "\n")
+
+        logger.info(f"CUDA backend ready at {cuda_dir}")
         progress.mark_complete(PROGRESS_KEY)
 
     except Exception as e:
-        # Clean up on failure
-        if temp_path.exists():
-            temp_path.unlink()
         logger.error(f"CUDA backend download failed: {e}")
         progress.mark_error(PROGRESS_KEY, str(e))
         raise
@@ -202,15 +356,19 @@ async def download_cuda_binary(version: Optional[str] = None):
 def get_cuda_binary_version() -> Optional[str]:
     """Get the version of the installed CUDA binary, or None if not installed."""
     import subprocess
+
     cuda_path = get_cuda_binary_path()
     if not cuda_path:
         return None
     try:
         result = subprocess.run(
             [str(cuda_path), "--version"],
-            capture_output=True, text=True, timeout=30,
+            capture_output=True,
+            text=True,
+            timeout=30,
+            cwd=str(cuda_path.parent),  # Run from the onedir directory
         )
-        # Output format: "voicebox-server 0.2.0"
+        # Output format: "voicebox-server 0.3.0"
         for line in result.stdout.strip().splitlines():
             if "voicebox-server" in line:
                 return line.split()[-1]
@@ -222,26 +380,29 @@ def get_cuda_binary_version() -> Optional[str]:
 async def check_and_update_cuda_binary():
     """Check if the CUDA binary is outdated and auto-download if so.
 
-    Called on server startup. If a CUDA binary exists but its version
-    doesn't match the current app version, triggers a background download
-    of the updated CUDA binary. The download progress is visible to the
-    frontend via the existing SSE progress endpoint.
+    Called on server startup. Checks both server version and CUDA libs
+    version. Downloads only what's needed.
     """
     cuda_path = get_cuda_binary_path()
     if not cuda_path:
         return  # No CUDA binary installed, nothing to update
 
-    cuda_version = get_cuda_binary_version()
-    current_version = __version__
+    need_server = _needs_server_download()
+    need_libs = _needs_cuda_libs_download()
 
-    if cuda_version == current_version:
-        logger.info(f"CUDA binary is up to date (v{current_version})")
+    if not need_server and not need_libs:
+        logger.info(f"CUDA binary is up to date (server=v{__version__}, libs={get_installed_cuda_libs_version()})")
         return
 
-    logger.info(
-        f"CUDA binary version mismatch: binary=v{cuda_version}, app=v{current_version}. "
-        f"Auto-downloading updated CUDA backend..."
-    )
+    reasons = []
+    if need_server:
+        cuda_version = get_cuda_binary_version()
+        reasons.append(f"server v{cuda_version} != v{__version__}")
+    if need_libs:
+        installed_libs = get_installed_cuda_libs_version()
+        reasons.append(f"libs {installed_libs} != {CUDA_LIBS_VERSION}")
+
+    logger.info(f"CUDA backend needs update ({', '.join(reasons)}). Auto-downloading...")
 
     try:
         await download_cuda_binary()
@@ -250,10 +411,12 @@ async def check_and_update_cuda_binary():
 
 
 async def delete_cuda_binary() -> bool:
-    """Delete the downloaded CUDA binary. Returns True if deleted."""
-    path = get_cuda_binary_path()
-    if path and path.exists():
-        path.unlink()
-        logger.info(f"Deleted CUDA binary: {path}")
+    """Delete the downloaded CUDA backend directory. Returns True if deleted."""
+    import shutil
+
+    cuda_dir = get_cuda_dir()
+    if cuda_dir.exists() and any(cuda_dir.iterdir()):
+        shutil.rmtree(cuda_dir)
+        logger.info(f"Deleted CUDA backend directory: {cuda_dir}")
         return True
     return False

backend/services/effects.py

@@ -11,6 +11,8 @@ from typing import List, Optional
 from sqlalchemy.orm import Session
 from sqlalchemy.exc import IntegrityError
 
+from ..utils.effects import validate_effects_chain
+
 from ..database import EffectPreset as DBEffectPreset
 from ..models import EffectPresetResponse, EffectPresetCreate, EffectPresetUpdate, EffectConfig
 
@@ -52,7 +54,6 @@ def get_preset_by_name(name: str, db: Session) -> Optional[EffectPresetResponse]
 
 def create_preset(data: EffectPresetCreate, db: Session) -> EffectPresetResponse:
     """Create a new user effect preset."""
-    from .utils.effects import validate_effects_chain
 
     chain_dicts = [e.model_dump() for e in data.effects_chain]
     error = validate_effects_chain(chain_dicts)
@@ -94,7 +95,6 @@ def update_preset(preset_id: str, data: EffectPresetUpdate, db: Session) -> Opti
     if data.description is not None:
         preset.description = data.description
     if data.effects_chain is not None:
-        from .utils.effects import validate_effects_chain
 
         chain_dicts = [e.model_dump() for e in data.effects_chain]
         error = validate_effects_chain(chain_dicts)

backend/services/export_import.py

@@ -73,8 +73,8 @@ def export_profile_to_zip(profile_id: str, db: Session) -> bytes:
         # Check if profile has avatar
         has_avatar = False
         if profile.avatar_path:
-            avatar_path = Path(profile.avatar_path)
-            if avatar_path.exists():
+            avatar_path = config.resolve_storage_path(profile.avatar_path)
+            if avatar_path is not None and avatar_path.exists():
                 has_avatar = True
                 # Add avatar to ZIP root with original extension
                 avatar_ext = avatar_path.suffix
@@ -98,7 +98,9 @@ def export_profile_to_zip(profile_id: str, db: Session) -> bytes:
 
         for sample in samples:
             # Get filename from audio_path (should be {sample_id}.wav)
-            audio_path = Path(sample.audio_path)
+            audio_path = config.resolve_storage_path(sample.audio_path)
+            if audio_path is None:
+                raise ValueError(f"Audio file not found: {sample.audio_path}")
             filename = audio_path.name
 
             # Read audio file
@@ -279,7 +281,7 @@ def export_generation_to_zip(generation_id: str, db: Session) -> bytes:
         # Build version manifest entries
         version_entries = []
         for v in versions:
-            v_path = Path(v.audio_path)
+            v_path = config.resolve_storage_path(v.audio_path)
             effects_chain = None
             if v.effects_chain:
                 effects_chain = json.loads(v.effects_chain)
@@ -314,14 +316,14 @@ def export_generation_to_zip(generation_id: str, db: Session) -> bytes:
         
         # Add all version audio files
         for v in versions:
-            v_path = Path(v.audio_path)
-            if v_path.exists():
+            v_path = config.resolve_storage_path(v.audio_path)
+            if v_path is not None and v_path.exists():
                 zip_file.write(v_path, f"audio/{v_path.name}")
 
         # Fallback: if no versions exist, include the generation's main audio
         if not versions:
-            audio_path = Path(generation.audio_path)
-            if audio_path.exists():
+            audio_path = config.resolve_storage_path(generation.audio_path)
+            if audio_path is not None and audio_path.exists():
                 zip_file.write(audio_path, f"audio/{audio_path.name}")
     
     zip_buffer.seek(0)
@@ -426,7 +428,7 @@ async def import_generation_from_zip(file_bytes: bytes, db: Session) -> dict:
                     profile_id=profile_id,
                     text=generation_data["text"],
                     language=generation_data["language"],
-                    audio_path=str(audio_dest),
+                    audio_path=config.to_storage_path(audio_dest),
                     duration=generation_data["duration"],
                     seed=generation_data.get("seed"),
                     instruct=generation_data.get("instruct"),

backend/services/generation.py

@@ -163,7 +163,7 @@ def _save_generate(
     versions_mod.create_version(
         generation_id=generation_id,
         label="original",
-        audio_path=str(clean_audio_path),
+        audio_path=config.to_storage_path(clean_audio_path),
         db=db,
         effects_chain=None,
         is_default=not has_effects,
@@ -174,6 +174,8 @@ def _save_generate(
     if has_effects:
         from ..utils.effects import apply_effects, validate_effects_chain
 
+        assert effects_chain is not None
+
         error_msg = validate_effects_chain(effects_chain)
         if error_msg:
             import logging
@@ -189,13 +191,13 @@ def _save_generate(
             versions_mod.create_version(
                 generation_id=generation_id,
                 label="version-2",
-                audio_path=str(processed_path),
+                audio_path=config.to_storage_path(processed_path),
                 db=db,
                 effects_chain=effects_chain,
                 is_default=True,
             )
 
-    return final_audio_path
+    return config.to_storage_path(final_audio_path)
 
 
 def _save_retry(
@@ -211,7 +213,7 @@ def _save_retry(
     """
     audio_path = config.get_generations_dir() / f"{generation_id}.wav"
     save_audio(audio, str(audio_path), sample_rate)
-    return str(audio_path)
+    return config.to_storage_path(audio_path)
 
 
 def _save_regenerate(
@@ -244,10 +246,10 @@ def _save_regenerate(
     versions_mod.create_version(
         generation_id=generation_id,
         label=label,
-        audio_path=str(audio_path),
+        audio_path=config.to_storage_path(audio_path),
         db=db,
         effects_chain=None,
         is_default=True,
     )
 
-    return str(audio_path)
+    return config.to_storage_path(audio_path)