# Brain of Reese — environment configuration
# Copy to `.env` and adjust:  cp .env.example .env
# (`.env` is gitignored; never commit secrets.)

# --- App ---
BOR_ENVIRONMENT=development
# BOR_LOG_LEVEL=INFO
# BOR_STATIC_DIR=frontend          # dev default; container sets /app/static

# --- Database (matches `podman compose` db service) ---
BOR_DATABASE_URL=postgresql+psycopg://reese:reese@localhost:5432/brain_of_reese

# --- LLM (self-hosted, OpenAI-compatible "aipi") ---
BOR_LLM_BASE_URL=https://aipi.reeseapps.com/v1
BOR_LLM_API_KEY=                  # falls back to $AIPI_KEY, then "not-needed"
BOR_LLM_CHAT_MODEL=turbo
BOR_LLM_EMBED_MODEL=embed
BOR_EMBEDDING_DIM=768             # verified 2026-08 via scripts/llm_probe.py

# --- RAG tuning ---
BOR_TOP_N_DOCS=2
BOR_RELEVANCE_THRESHOLD=0.62      # answer when best cosine >= this OR an FTS hit; else honest deflection
BOR_MAX_CONTEXT_CHARS=24000       # cap on total document text sent to the LLM
BOR_MAX_OUTPUT_TOKENS=32768       # max answer length in tokens (answers must not be cut off)
BOR_CHUNK_TARGET_CHARS=2000
BOR_CHUNK_OVERLAP_CHARS=200
BOR_EMBED_BATCH_SIZE=16

# --- Hybrid retrieval (vector + Postgres FTS, RRF-fused) ---
BOR_HYBRID_VECTOR_CANDIDATES=100  # cosine list width for the fusion
BOR_HYBRID_LEXICAL_CANDIDATES=30  # FTS list width for the fusion
BOR_RRF_K=60                      # Reciprocal Rank Fusion damping constant

# --- Import scope (A9 formats; may only narrow, never widen) ---
# BOR_IMPORT_EXTENSIONS=md,markdown,txt,yaml,yml,json,py
# BOR_SUGGESTIONS=["How is my Kubernetes cluster set up?"]   # JSON list of onboarding chips

# --- Debugging (0/1 — 1 enables attach-on-demand debugpy on port 5678) ---
DEBUGPY=0
# DEBUGPY_PORT=5678