Brings in the Phase 5B caller-generation rewrite:
- Slim two-stage pipeline: Sonnet 4.6 batch identity pregen at session
start, Haiku 4.5 live dialog per turn. Deletes CallerBackground
dataclass, shape/style/voice-matching, per-model routing, preflight UI.
- New caller_gen.py (slim prompt builder) and regulars_v2.py (Obsidian
lore loader for named recurring callers).
- Reworked caller buttons and info panel around the slim background:
identity, situation, signature, secret want. Removes shape badges,
energy dots, emotion info-badges.
- Inworld TTS: emotional_register -> (temperature, speed_adjust) mapping
via _emotional_register_to_params(). applyTextNormalization ON.
- Silas identity/voice leak fix, avatar gender, pre-warm batch gen.
- Archives old regulars to data/regulars.archived.json, adds 10 sample
caller transcripts under docs/samples/.
Post-merge fixes applied during resolution:
- intern.py: kept main's richer new_show() (NEW SHOW history marker,
trim, _save()) and _track_suggestion(); removed the branch's
duplicate minimal new_show() stub.
- tts.py: added 5 voice speed overrides (Graham, Malcolm, Victoria,
Loretta, Marlene) that main had tuned locally. Evelyn deliberately
NOT added to VOICE_PROFILES — she is in BLACKLISTED_VOICES for
unnatural prosody.
- Main's cost dashboard polish, LLM per-model params, and Devon show
context memory from commits c087c03..61b3cba carried through cleanly.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Changes to backend/services/tts.py:
- Add temperature: 0.9 and applyTextNormalization: "ON" to Inworld payload
(text normalization auto-speaks "$5,432", "Dr.", phone numbers, dates, etc.)
- Add _emotional_register_to_params() mapping caller's emotional_register
to (temperature, speed_adjust) across 5 families: sadness/grief,
anger/aggression, manic/excited, nervous/earnest, gruff/restrained.
- generate_speech_inworld() and generate_speech() now accept optional
emotional_register kwarg; all providers take it via the dispatch lambdas
(only inworld uses it; others ignore)
- Clamp speed to 0.5-1.5 after both emotional-register and per-text adjustments
In backend/main.py: plumb emotional_register through the two caller-dialog
TTS calls (auto-respond and ai-respond) by reading from the slim caller
background dict. Devon and cohost/announcer calls pass empty string and
hit the default (0.9, 0.0) branch — no behavior change.
- Add real-time LLM/TTS cost tracking with live status bar display and post-show reports
- Fix PTT bug where Devon suggestion layout shift stopped recording via mouseleave
- Devon: facts-only during calls, full personality between calls
- Double WEIRD topic pool (109→203), bump weight to 14-25%
- Auto-generate YouTube thumbnails with bold hook text in publish pipeline
- LLM SEO: llms.txt, robots.txt for LLM crawlers, structured data, BreadcrumbList schemas
- Publish episode 37
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Massively expanded all 8 caller topic pools from ~1200 to ~2500 entries to
reduce repeat calls. Added persistent topic history (data/used_topics_history.json)
with 30-day aging to prevent cross-episode duplicates. Published episode 35.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Fix TTS text pipeline: new caps handling (spell out unknown acronyms, lowercase
emphasis words), action-word lookahead for parenthetical stripping, abbreviation
expansions (US→United States, NM→New Mexico), pronunciation fixes
- Inworld TTS: camelCase API fields, speakingRate per-voice overrides, retry logic
with exponential backoff (3 attempts)
- Footer redesign: SVG icons for social/podcast links across all pages
- Stats page: show "Rate us on Spotify" instead of "not public" placeholder
- New voices, expanded caller prompts and problem scenarios
- Social posting via Postiz, YouTube upload in publish pipeline
- Episode transcripts 15-25, terms page, sitemap updates
- Fix invoice script: match Timing totals using merged Task+App intervals
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add host mic noise reduction (afftdn + anlmdn)
- Add phone EQ bandpass on caller stem
- Mute music during ads with 2s lookahead/tail
- Increase ducking release to 3s to reduce pumping
- Add Inworld voice mappings for all regular callers
- Recording toggle endpoint, stem sync fixes
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
New stem recording system captures 5 time-aligned WAV files (host, caller,
music, sfx, ads) during live shows. Standalone postprod.py processes stems
into broadcast-ready MP3 with gap removal, voice compression, music ducking,
and EBU R128 loudness normalization.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add 30s timeout to all frontend fetch calls (safeFetch)
- Add 20s asyncio.timeout around lock+LLM in chat, ai-respond, auto-respond
- Reduce OpenRouter timeout from 60s to 25s
- Reduce Inworld TTS timeout from 60s to 25s
- Return graceful fallback responses on timeout instead of hanging
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
lukeandClaude Opus 4.6