ai-podcast/CLAUDE.md

AI Podcast - Project Instructions

Git Remote (Gitea)

• Repo: git@gitea-nas:luke/ai-podcast.git
• Web: http://mmgnas:3000/luke/ai-podcast
• SSH Host: gitea-nas (configured in ~/.ssh/config)
  • HostName: mmgnas (use mmgnas-10g if wired connection issues)
  • Port: 2222
  • User: git
  • IdentityFile: ~/.ssh/gitea_mmgnas

NAS Access

• Hostname: mmgnas (wireless) or mmgnas-10g (wired/10G)
• SSH Port: 8001
• User: luke
• Docker path: /share/CACHEDEV1_DATA/.qpkg/container-station/bin/docker

Castopod (Podcast Publishing)

• URL: https://podcast.macneilmediagroup.com
• Podcast handle: @LukeAtTheRoost
• API Auth: Basic auth (admin/podcast2026api)
• Container: castopod-castopod-1
• Database: castopod-mariadb-1 (user: castopod, db: castopod)

Running the App

# Start backend
cd /Users/lukemacneil/ai-podcast
python -m uvicorn backend.main:app --reload --host 0.0.0.0 --port 8000

# Or use run.sh
./run.sh

Publishing Episodes

python publish_episode.py ~/Desktop/episode.mp3

Environment Variables

Required in .env:

• OPENROUTER_API_KEY
• ELEVENLABS_API_KEY (optional)
• INWORLD_API_KEY (for Inworld TTS)

Post-Production Pipeline (added Feb 2026)

• Branch: feature/real-callers — all current work is here, pushed to gitea
• Stem Recorder (backend/services/stem_recorder.py): Records 5 WAV stems (host, caller, music, sfx, ads) during live shows. Uses lock-free deque architecture — audio callbacks just append to deques, a background writer thread drains to disk. write() for continuous streams (host mic, music, ads), write_sporadic() for burst sources (caller TTS, SFX) with time-aligned silence padding.
• Audio hooks in backend/services/audio.py: 7 tap points guarded by if self.stem_recorder:. Persistent mic stream (start_stem_mic/stop_stem_mic) runs during recording to capture host voice continuously, not just during push-to-talk.
• API endpoints: POST /api/recording/start, POST /api/recording/stop (auto-runs postprod in background thread), POST /api/recording/process
• Frontend: REC button in header with red pulse animation when recording
• Post-prod script (postprod.py): 6-step pipeline — load stems → gap removal → voice compression (ffmpeg acompressor) → music ducking → stereo mix → EBU R128 loudness normalization to -16 LUFS. All steps skippable via CLI flags.
• Known issues resolved: Lock-free recorder (old version used threading.Lock in audio callbacks causing crashes), scipy.signal.resample replaced with nearest-neighbor (was producing artifacts on small chunks), sys import bug in auto-postprod, host mic not captured without persistent stream

LLM Settings

• _pick_response_budget() in main.py controls caller dialog token limits (150-450 tokens). MiniMax respects limits strictly — if responses seem short, check these values.
• Default max_tokens in llm.py is 300 (for non-caller uses)
• Grok (x-ai/grok-4-fast) works well for natural dialog; MiniMax tends toward terse responses

Website

• Domain: lukeattheroost.com (behind Cloudflare)
• Analytics: Cloudflare Web Analytics (enable in Cloudflare dashboard, no code changes needed)

Episodes Published

• Episode 6 published 2026-02-08 (podcast6.mp3, ~31 min)