# Turnstone environment variables
# Copy to .env and adjust for your setup. All variables are optional unless noted.

# --- Database & paths ---
# TURNSTONE_DB=/data/turnstone.db
# TURNSTONE_PATTERNS=/patterns
# TURNSTONE_SOURCE_HOST=my-server

# --- GPU / LLM inference ---
# GPU_SERVER_URL — URL of your GPU inference server (Ollama, vLLM, or cf-orch coordinator).
# Paid+ users: leave unset to auto-default to https://orch.circuitforge.tech via CF_LICENSE_KEY.
# Local Ollama (default if unset): http://localhost:11434
# Local cf-orch coordinator: http://<YOUR_HOST_IP>:7700
# CF_ORCH_URL is also accepted as a backward-compatible alias.
# GPU_SERVER_URL=http://localhost:11434

# --- CircuitForge license (Paid+) ---
# Enables cloud GPU inference and premium features.
# When set, GPU_SERVER_URL defaults to https://orch.circuitforge.tech automatically.
# CF_LICENSE_KEY=CFG-TRSN-XXXX-XXXX-XXXX

# --- Bundle endpoint (optional) ---
# Remote endpoint to push diagnostic bundles for escalation.
# TURNSTONE_BUNDLE_ENDPOINT=https://example.com/api/bundles

# --- Periodic batch glean ---
# Seconds between automatic glean runs from sources.yaml. Set to 0 to disable.
# TURNSTONE_GLEAN_INTERVAL=900

# --- Multi-agent diagnose pipeline (experimental) ---
# Enable the 5-stage ML pipeline instead of the single-LLM summarize() call.
# TURNSTONE_MULTI_AGENT_DIAGNOSE=true

# Stage 2 — ML severity classifier (optional; falls back to pattern_tags then regex).
# Recommended: byviz/bylastic_classification_logs (~300MB, downloaded from HuggingFace)
# TURNSTONE_CLASSIFIER_MODEL=byviz/bylastic_classification_logs

# Stage 4 — Embedding backend for false-positive suppression.
# sentence_transformers: in-process local model (downloads on first use)
# ollama: uses a running Ollama instance (no download needed if model is already pulled)
# TURNSTONE_EMBED_BACKEND=sentence_transformers
# TURNSTONE_EMBED_MODEL=BAAI/bge-small-en-v1.5
# TURNSTONE_EMBED_DEVICE=cpu