.env.example

# Example local config.
# Copy this file to `.env` and fill in real values. `.env` is gitignored.
#
# Loaded automatically by `task` commands. If you run the binary directly
# (without `task`), source this file first:  `set -a; source .env; set +a`.

# ---- Required for the LLM summary step --------------------------------------

# OpenRouter API key — used for the summary + Mermaid generation step.
# Get one at https://openrouter.ai/keys (prepaid credits, no subscription).
OPENROUTER_API_KEY=sk-or-v1-replace-me

# ---- Optional ---------------------------------------------------------------

# Override the default LLM model. Any model OpenRouter supports works.
# Default if unset: anthropic/claude-haiku-4-5
# Examples:
#   anthropic/claude-haiku-4-5         # default, balanced cost/quality
#   anthropic/claude-sonnet-4-6        # higher quality, ~10x cost
#   openai/gpt-4o-mini                 # cheapest, ~$0.002/video
#   google/gemini-2.0-flash            # fast + cheap
#   meta-llama/llama-3.3-70b-instruct  # open-source
#LLM_MODEL=anthropic/claude-haiku-4-5

# Logging verbosity. trace | debug | info | warn | error
RUST_LOG=info

# yt-dlp cookie source. Needed for: age-restricted videos, members-only
# videos, and YouTube's "Sign in to confirm you're not a bot" challenge.
#
# Option 1 (preferred on headless / Linux): point to a Netscape-format
# cookies file. Export it however you like — e.g. a QR-login flow — then:
#YT_DLP_COOKIES=/path/to/cookies.txt
#
# Option 2: read cookies straight from a logged-in local browser.
# Set to one of: chrome, brave, edge, firefox, safari, chromium, opera, vivaldi
# (ignored when YT_DLP_COOKIES above is set).
#YT_DLP_COOKIES_FROM_BROWSER=chrome

# Offload Whisper transcription to a remote HTTP worker (e.g. a GPU service).
# When set, audio bytes are POSTed there instead of running whisper-rs locally.
# Endpoint must accept multipart {audio, model, language} and return JSON
# {transcript, segments[{start_ms,end_ms,text}], language, duration_s}.
#REMOTE_WHISPER_URL=https://your-worker.example.com/transcribe