.env.example

# podcli Configuration
# Full reference: docs/configuration.md

# FFmpeg paths (leave blank to use system defaults)
FFMPEG_PATH=
FFPROBE_PATH=

# Python interpreter override (leave blank to use the managed runtime or venv)
PODCLI_PYTHON=

# Resolved internal value the launcher exports for the TypeScript layer.
# Set PODCLI_PYTHON instead; only set this when running the TS server directly.
PYTHON_PATH=

# Config home: knowledge, presets, assets, history
# (defaults to the managed folder, or .podcli/ when running from source)
PODCLI_HOME=

# HuggingFace token for speaker diarization (pyannote)
# 1. Accept terms: https://huggingface.co/pyannote/speaker-diarization-3.1
# 2. Create token (Read permission): https://huggingface.co/settings/tokens
HF_TOKEN=

# Output quality: low, medium, high, max
# low=fast/small, high=great quality (default), max=near-lossless
PODCLI_QUALITY=high

# Transition QA/autofix passes (0=off, 1-2 allowed; renderer hard-caps at 2)
PODCLI_TRANSITION_AUTOFIX_PASSES=2

PODCLI_PORT=3847                   # Web studio port (PORT also works)

# Logging verbosity: debug, info, warn, error
PODCLI_LOG_LEVEL=info