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>
Adds /api/costs/tts endpoint backed by get_tts_providers() in cost_db,
surfaces a Costs link in the control panel header, and small polish
to the costs page HTML/JS.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
session.caller was reading name/voice from CALLER_BASES randomized defaults
instead of the slim bg dict — causing Silas to appear as "Earl" with wrong
voice. Now prefers bg data when populated.
Also: avatar endpoint infers gender from voice pool, /api/callers returns bg
name, regulars get canonical voice force-locked, batch gen splits into two
parallel calls with pre-warm so subsequent resets are instant.
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
Ep47 post-mortem: fixed theme ignored by callers (backgrounds now
regenerate when theme is set), style-to-model race condition (fallback
to sonnet instead of pool[0]), removed bad pronunciation fixes, added
age-awareness to voice matching, raised MIN_RESPONSE_WORDS to 50.
Swapped problematic model mappings: conspiracy→qwen, know_it_all→mistral,
quiet_nervous→llama, emotional→kimi.
Added GET /api/show/preflight endpoint with 4 checks: model diversity,
theme penetration, voice-age alignment, response coherence (2-exchange
simulation of all callers). Frontend preflight modal with expandable
check cards.
Fixed active caller button not highlighting (moved highlight code before
potentially-failing caller info panel code).
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- One-click genre buttons play random track from that genre
- Active genre highlighted, now-playing bar shows track name
- Only genres with tracks shown, crossfade on genre switch
- M key replays active genre or picks random
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- Three strategies: single model, cycle through pool, style-matched
- 18 communication styles mapped to 7 models (Grok, Sonnet, Mistral, Qwen, DeepSeek, Gemini, Llama)
- Per-caller model locked for entire call, overridable mid-show
- Model badges on caller buttons and info panel
- Settings UI for strategy, pool, style mapping, fallback
- Fallback to Sonnet on model failure
- 6 new models added to pricing and dropdown
- Checkpoint persistence for all model state
Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
- 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>
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>
- Music crossfade: smooth 3-second blend between tracks instead of hard stop/start
- Emotional detection: analyze host mood from recent messages so callers adapt tone
- AI caller summaries: generate call summaries with timestamps for show history
- Returning callers: persist regular callers across sessions with call history
- Session export: generate transcripts with speaker labels and chapter markers
- Caller screening: AI pre-screens phone callers to get name and topic while queued
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Named relationships (20M/20F): "my buddy Ray", "my wife Linda" — not generic
- Relationship status with detail: "married 15 years, second marriage"
- Vehicle they drive: rural southwest flavor (F-150s, Tacomas, old Broncos)
- What they were doing before calling: grounds call in a physical moment
- Specific memory/story to reference: flash floods, poker wins, desert nights
- Food/drink right now: Tecate on the porch, third cup of coffee
- Strong random opinions: speed limits, green chile, desert philosophy
- Contradictions/secrets: tough guy who cries at TV, reads physics at work
- Verbal fingerprints: 2 specific phrases per caller
- Emotional arcs: mood shifts during the call
- Show relationship: first-timer, regular, skeptic, reactive
- Late-night reasons: why they're awake
- Topic drift tendencies for some callers
- Regional speech patterns in prompt (over in, down the road, out here)
- Opening line variety based on personality
- Local town news enrichment via SearXNG
- Ad channel now configurable in settings UI
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add ads playback system with backend endpoints and frontend UI
- Diversify AI callers: randomize voices per session, expand jobs/problems/interests/quirks/locations
- Update website tagline and descriptions to "biologically questionable organisms"
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
When off air, callers hear a message and get disconnected. When on
air, calls route normally. Toggle button added to frontend header
with pulsing red ON AIR indicator.
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Add streamSid tracking and per-caller send locks for SignalWire
- Improve TTS streaming with real-time pacing and detailed logging
- Block host audio to caller during TTS playback
- Randomize caller names between sessions from name pools
- Update page title and show phone number in UI
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Reduce capture chunk from 4096 to 640 samples (256ms → 40ms)
- Replace BufferSource scheduling with AudioWorklet playback ring buffer
- Add 80ms jitter buffer with linear interpolation upsampling
- Reduce host mic and live caller stream blocksizes from 4096/2048 to 1024
- Replace librosa.resample with numpy interpolation in send_audio_to_caller
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
- Use persistent callback-based output stream instead of opening/closing per chunk
- Replace librosa.resample with simple decimation in real-time audio callbacks
- Move host stream initialization to background thread to avoid blocking
- Change live caller channel default to 9
Co-Authored-By: Claude Opus 4.6 <noreply@anthropic.com>
lukeandClaude Opus 4.6