.env.example

# Copy to .env and fill in. Nothing here ever leaves your machine except the
# API key, which is sent to HELMCODE_BASE_URL and nowhere else.

# Required for `process` and `search`. `record` works offline.
HELMCODE_API_KEY=

# The only host this tool talks to for meeting content.
HELMCODE_BASE_URL=https://api.helmcode.com/v1

# Optional. Only used to download pyannote's diarization weights, once.
# No meeting audio or text is ever sent to Hugging Face.
# Requires accepting the terms of all three gated repos — the third is pulled by
# pyannote.audio 4 and is the one everybody misses:
#   https://huggingface.co/pyannote/speaker-diarization-3.1
#   https://huggingface.co/pyannote/segmentation-3.0
#   https://huggingface.co/pyannote/speaker-diarization-community-1
HF_TOKEN=

# Where meetings are stored. Default: ~/helmcode-whisper
# HCW_HOME=

# Model overrides. Defaults match the Helmcode API as of 2026-08.
# HCW_STT_MODEL=whisper
# HCW_NOTES_MODEL=deepseek-v4-flash
# HCW_EMBED_MODEL=qwen3-embedding
# HCW_RERANK_MODEL=rerank

# Transcription requests in flight at once, across both tracks. The endpoint
# caps a request at ~2 minutes of audio, so an hour-long meeting is ~70 of them
# and this is most of what decides how long `process` takes.
# Do not raise this above 4 without checking your key's limit: the API allows
# 5 parallel requests and answers the sixth with a 429. Default: 4
# HCW_STT_CONCURRENCY=4