- Deterministic hash-based character portraits and reference sheets
- Implemented strict early Renaissance aesthetic controls and role-specific headwear rules
- Added audiobook batch export scripts and progress tooling
- Verified book profiles with a new 'confirmed' state tracking mechanism
- Updated Pillow dependency for robust image handling
- Configured .gitignore for audiobook and audio cache exports
Fish-Speech clones from the app's own saved WAV library but was missing from
the set of backends populated with those voices, so the UI probed the Fish
server for a voice-listing endpoint it does not have, showed "Fetched 0
voices" and left the engine unusable despite being healthy. It now reports
the full library (218 voices).
Also adds a Fish-only panel listing all 49 documented emotion tags with
click-to-insert and a multi-emotion example, and corrects the backend's
advertised capabilities: it was flagged style_aware with "emotion markers are
honoured per request", but measurement shows a reference clip's in-context
prosody overwhelms inline tags (10x loudness spread across emotions without a
reference, 1.2x with one). It is now described by what it does well:
deterministic, byte-reproducible cloning.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Fish-Speech emotion tags were silently ignored on non-English books: per-line
emotions are LLM-generated in the book's own language, but Fish-Speech only
recognizes English [tag] markers, and a double-tagging bug was stacking a
broken server-derived tag on top of the client's own. Added a DE->EN
translation table and removed the double-tagging. Also wires the existing
book-profile context and race_species field into character portrait prompts
(previously only used for voice design), adds a recast-until-threshold loop
for casting, and adds backend-aware emotion quick-picks to Read Aloud, Try a
Voice, and Conversation.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
For a designed voice the instruct prompt is the voice's identity — the TTS
engine reproduces the voice from that text alone. The only copy saved was the
`note` display summary, clipped to 240 characters, which left 43 of 73 voices
cut off mid-sentence. Save the complete prompt in its own field so the engine
can register a voice from the whole description.
Existing voices keep working from the clipped copy (it still carries gender,
accent and timbre) and pick up the full text when next redesigned.
Pairs with the engine-side fix in tts-dgx-spark-faster-qwen3-tts.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Voice consistency:
- Read back each voice's pinned seed (Seed Finder / Batch Seeds) on every
generation. The seed was saved to voice metadata but only ever read by the
Seed Finder's own benchmark path, so all per-voice seed pinning was inert.
- Stop coercing the "voice_design_playback" stability profile back to
"voice_clone". The pseudo-backend key isn't a real routing target, so the
backend-name normalizer silently rewrote it — reintroducing the hardcoded
seed:0 that profile exists to avoid, overriding every per-voice pin.
- Apply the accent clause on every line, not just at voice-creation time,
and reorder the instruct so emotion leads and accent trails (Qwen3-TTS
doesn't reliably follow multiple conflicting instructions).
- Pass an explicit language to Voice Design instead of leaving it on "Auto".
Audio effects:
- Add a limiter after compressor makeup gain. Makeup gain pushed peaks to
~1.9, and the final hard clip turned that into broadband distortion that
swamped the rest of the chain.
- Cascade highpass/lowpass 3 stages each (~18 dB/octave). Single-pole
filters were too gentle to band-limit speech audibly.
- Add a Bandpass control and wire it into the Telephone/Radio presets —
compression alone never sounded like a phone; band-limiting is the
defining trait.
Persona / Try It Out:
- Disable "Apply character persona" with an explanatory tooltip when the
voice has no persona saved, and error clearly server-side instead of
silently no-op'ing. Persona is typed manually per voice, never auto-filled.
- Stop dropping applyPersona in the chunked generation path (>200 chars).
- Populate the Voice Design dropdown from the user's own library rather than
filtering the engine's discovery list, which never contains custom voices.
Navigation and library:
- Use pushState instead of replaceState so browser Back/Forward step through
in-app navigation instead of leaving the app entirely.
- Show real dialogue line counts in the character sidebar instead of the
capped reference-quote count (which showed a misleading uniform "12").
Also fixes a crash in /api/transcribe-bytes that referenced an undefined
source_id in its cleanup path.
Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
Introduces the new Studio section (Source -> Characters -> Voices ->
Perform & Export) that reuses the existing Read Aloud/Library/Script
Rehearsal code via DOM reparenting instead of duplicating it, and rolls up
a long tail of bugs found while producing a real audiobook through it:
umlaut-eating name sanitizers, a voice picker that mispositioned itself and
capped results at 60, PDF pagination silently breaking on trimmed \f
markers, a race letting stale audio keep playing after a new line was
clicked, an alias-overlap bug that could silently redirect a voice/image
save onto the wrong character, voice design failing outright during brief
TTS backend restarts instead of retrying, sparse cast entries defaulting to
English/wrong gender, and a reassigned voice never reaching an already-open
Stage session or invalidating its cached audio. Also adds a persistent
per-line audio cache, audiobook export browsing/download, and an inline
voice-design prompt editor. Full details in CHANGELOG.md.
Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Same pattern as the Casting audiobook Prompt button: a collapsible
textarea with the full extraction prompt (fields + sources/citation
schema), named-preset save/load/delete, and live persistence so edits
apply from the next passage onward. Server-side, _charsheets_prepare()
now accepts a character_sheets_prompt override (shared by the blocking
and streaming endpoints), following the same pattern already used for
the audiobook attribution prompt override.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Two gaps observed in real casting output:
1. A mid-quote " - " (em-dash pause) was being read as the end of the
quotation, handing the rest of the line to a wrong/new speaker.
2. Narration naming whose voice is about to speak (e.g. "Marcians
Stimme wirkte nicht mehr so fest") wasn't being used to resolve the
following unattributed line away from 'Unknown'.
Added as rules 11/12 to the client-side AB_DEFAULT_PROMPT (the prompt
actually sent to the LLM) and to normalizeCastingPrompt()'s migration
so already-saved custom prompts pick them up automatically, same
mechanism as the earlier Doppelpunkt-Regel upgrade. Also added
equivalent rules to the server-side fallback prompt in
routes/conversation.py for completeness, though the client-sent prompt
is what's actually used in normal operation.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Confirmed by directly probing a streaming response from vllm-0.23.1rc1:
its delta objects carry reasoning text under "reasoning", not the more
common "reasoning_content" key every reasoning-display code path was
checking for. Added a shared _reasoning_text() helper that checks both,
used by the Conversation Playground, audiobook casting's live view, and
character sheets.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Reasoning-model chain-of-thought is now separated from the spoken/displayed
reply on the server (handles both a dedicated reasoning_content field and
inline <think> blocks, including chat templates that inject the opening tag
as a prompt prefix so it never appears in the stream). The client shows it
in a panel collapsed behind a "Thinking" chevron instead of dumping raw
reasoning text into the chat or speaking it aloud via TTS.
Also moved the noise-gate slider out of its own row and next to the mic
button, grouping it with Auto-stop/Hands-free/Live agent.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Confirmed in production: a streaming attribution/character-sheets
request held _attribution_llm_lock for 11+ minutes, well past its
configured timeout, silently rejecting every subsequent passage as
"Attribution engine busy" and falling back to the non-streaming view -
looking exactly like live-thinking had stopped working, when actually
one earlier request never finished.
Root cause: requests' timeout= on a stream=True call only covers the
connect + first byte, not gaps between later body reads. If the LLM
backend goes silent mid-stream (connection left open, no more chunks),
the blocked socket recv() inside iter_lines() can hang indefinitely.
Since that's a native blocking call, not a Python-level yield point,
neither an in-loop wall-clock check nor GeneratorExit from a
disconnected client can interrupt it - both only take effect at the
next bytecode boundary, which never arrives while blocked in the C
extension.
Added _watchdog_close: a daemon thread that force-closes the upstream
connection if the wrapped block hasn't finished within the configured
timeout. Closing the socket from another thread makes the blocked
recv() raise, unblocking the generator so its normal except/finally
cleanup (including releasing the lock) actually runs. Verified against
the live LLM backend post-restart: stream completes normally with
real token-by-token deltas, and the lock is confirmed free immediately
after.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Character Sheets generation only ever showed a progress bar - no
visible reading/thinking/filling-out, unlike the casting flow which
already streams the LLM's output live. Refactored
/api/character-sheets into shared _charsheets_prepare/_charsheets_parse
helpers (same split used for attribution) and added
/api/character-sheets/stream, proxying the LLM's SSE stream through
the same shared lock used by the other attribution endpoints.
Client: new csGenerateStream (mirrors audiobookAttributeStream) tries
the streaming endpoint first per passage, updating a new "Live output"
panel in the progress dialog with the raw JSON answer as it's written
- itself the "watch it fill out the sheet" experience, since there's
no separate reasoning channel worth hiding it behind here. Falls back
to the blocking endpoint on any stream failure.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Table view was rendering as stacked blocks instead of columns: rows
reused .lib-char-card for its event wiring, but that class's
display:flex;flex-direction:column turned every <tr> into a flex
column. Reset to display:table-row and stripped the leaked-in card
chrome.
Split /api/character-generate-prompts into four independent per-field
LLM calls (from two paired calls) and added a `fields` filter, so the
UI can offer one Generate button per prompt box instead of a single
button that always regenerated all four - cheaper, and further
shrinks each response to reduce truncation risk.
Added a Sort dropdown (Role/Alphabet/Lines/Gender/Voice assigned) to
the Characters/Cast list, persisted like the Cards/Table toggle.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Table view: one row per character (avatar, name, sex, line count, voice
language, alignment, voice, tags, prompt-availability checks), toggled
next to the card grid and persisted.
Bulk voice auto-assign: checkbox per character + "Auto-assign selected"
per production, sequential so later picks see what earlier ones just
took (avoids duplicate voice assignments).
Character tags (auto-set to the book of origin) are now visible on
cards - the field always existed, cards just never rendered it, so a
character recurring across books had no visible link between records.
Detail fields (Backstory, Motivation, etc.) now show small numbered
links to their exact source citation when the sheet has one, instead
of making the reader search the full "Quellen im Text" list.
Added gender as an actual extracted character-sheet field - the UI
already had a gender icon but the LLM was never asked for the value.
Fixed SillyTavern/Concept Art prompts still coming back empty despite
the earlier token-budget increase: they're the last two fields in one
JSON object, so truncation always cost the same two regardless of the
ceiling. Split into two independent, concurrent LLM calls instead.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The streaming attribution endpoint decoded the LLM's SSE response with
requests' guessed encoding (Latin-1 fallback when no charset is declared),
mangling every German umlaut. Forced UTF-8 explicitly.
The "LLM Thinking" pane duplicated the passage text for models that
ignore the <think> instruction and stream straight into JSON - it now
only shows real reasoning when present, and otherwise labels raw output
honestly instead of passing it off as thinking.
Also fixed three UI bugs found while testing a live multi-hour cast:
- A-/A+ font buttons had no effect (a hardcoded font-size on .ab-cv-row
always overrode the CSS variable they set).
- Typing a name + Enter in the "Assign to" popup (and drag-to-assign,
which reuses it) silently did nothing after the first cast/recast run
in a session - the popup is a page-lifetime singleton but its input
handlers closed over the first run's now-stale assignName/closePopup.
Every popup open now repoints them at the current run.
- "Split text to Unknown Speaker" split at the wrong spot when the
selected phrase repeated earlier in the same paragraph (indexOf found
the first occurrence, not the dragged one). Now uses the exact DOM
range offset instead.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
The static-asset caching middleware used BaseHTTPMiddleware, which has a
known Starlette bug: a client disconnecting mid-StreamingResponse (the new
live-attribution SSE stream hitting its idle timeout) raced its internal
task group and raised "RuntimeError: No response returned", crashing that
request. Rewritten as plain ASGI middleware that only touches headers via
the raw send callable, removing the race.
Also found the real cause of the casting timeouts/405s: the streaming
attribution endpoint had its own lock instead of sharing the one the
blocking endpoint already used to serialize on the LLM's single slot -
letting a stream call and its own blocking fallback fire concurrently,
exactly the ghost-request pile-up that lock was built to prevent. Unified
onto one lock and added server-side logging for stream failures.
The "LLM Thinking" pane now shows the model's actual <think> reasoning
instead of the in-progress JSON answer echoed back at the user.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
