# second-brain runtime configuration
# Copy this file and edit paths to match your setup.
# Override the config file path with SECOND_BRAIN_CONFIG env var.

# Path to your Obsidian vault (git-managed directory). The wiki compiler
# writes markdown into this directory and commits inside it. We do NOT
# dual-write into petalbrain.wiki — the file-based vault stays canonical.
vault_path = "~/Documents/second-brain-vault"

# Directory where downloaded media files are stored
media_dir = "~/.local/share/second-brain/media"

# Directory where Whisper SRT transcripts are stored
subtitles_dir = "~/.local/share/second-brain/subtitles"

# Whisper model size: tiny | base | small | medium | large
# small is a good balance of speed and accuracy
whisper_model = "small"

# Active knowledge domains
domains = ["development", "content", "business", "homelab"]

[database]
# Postgres + pgvector lives on the petalbrain instance.
#
# Preferred: leave `url` empty and export SECOND_BRAIN_DATABASE_URL (or the
# shared HERBYLAB_DATABASE_URL) in the environment so the password never
# lands in this checked-in file.
#
# Containerised second-brain runs should target homelab-postgres on the
# homelab docker network:
#   postgresql+psycopg://lovebug:<password>@homelab-postgres:5432/petalbrain
#
# Host-side dev runs can point at the published port instead:
#   postgresql+psycopg://lovebug:<password>@127.0.0.1:5433/petalbrain
url = ""

[extractor]
# "cli" → runs `claude -p` under your Max OAuth (no per-token billing).
# "api" → uses Anthropic SDK, requires ANTHROPIC_API_KEY.
backend = "cli"
model = "claude-sonnet-4-6"
cli_binary = "claude"
timeout_sec = 600

[embeddings]
# Best-effort: extraction summaries are chunked (512 tokens / 64 overlap)
# and embedded via Ollama's nomic-embed-text (768-d) into the shared
# public.embeddings table. Failures (no DB / no Ollama) log a warning and
# the pipeline keeps moving — the relational + file vault stay canonical.
enabled = true
# Containerized default; for host-side runs set OLLAMA_URL=http://127.0.0.1:11434
ollama_url = "http://ollama:11434"
model = "nomic-embed-text"
embed_field = "summary"

[scheduler]
# Time window for overnight processing (24h format, may cross midnight)
window_start = "22:00"
window_end   = "06:00"

# CLI backend: cap calls per rolling hour (Max sub has 5h-window message caps).
max_calls_per_hour = 30

# Minimum seconds between extraction calls (rate-limit smoother)
min_gap_seconds = 120

# Legacy API-backend budget (only enforced when extractor.backend = "api").
max_tokens_per_hour = 100_000