.env.example

# ───────────────────── PYTHIA ORACLE CONFIG ─────────────────────
# Osiris world data -> local LLM -> predictions. No API keys, no cost.
# Copy to .env. Defaults work out of the box if Ollama + Osiris are running.

OSIRIS_URL=http://localhost:3000
ENGINE_HOST=0.0.0.0
ENGINE_PORT=8088

# ── Oracle brain ──
# Leave the three LLM_* lines blank to reuse MiroFish's configured local model
# (read from ~/MiroFish/.env). Uncomment to override (any OpenAI-compatible API).
# LLM_BASE_URL=http://localhost:11434/v1
# LLM_API_KEY=ollama
# LLM_MODEL=llama3.1
ORACLE_TEMPERATURE=0.5          # 0=cautious, 1=imaginative
ORACLE_TIMEOUT_SEC=180

# ── Predictions ──
HORIZONS=24h,week,month,year    # time horizons to forecast
PREDICTIONS_PER_HORIZON=3
LOOP_INTERVAL_SEC=900           # auto-refresh cadence when the loop is ON (15 min)
EVENT_CAP=500                   # max events kept per sensing pass (salience-ranked).
                                # raise it if quiet domains (space weather, Green alerts)
                                # keep getting squeezed off the board; lower to trim memory.

# ── Swarm ──
# Give each persona its own brain (any installed Ollama model). Unset personas
# use the main oracle model. Picks made in the UI (deck → hexagon) are saved to
# runs/swarm_models.json and win over these seeds.
# SWARM_MODELS=Strategist=llama3.1:70b,Skeptic=qwen3:8b

# ── Track record ──
# Every forecast is persisted (runs/ledger.jsonl) and graded by an LLM judge
# when its horizon expires — Brier score + calibration at GET /scorecard.
TRACK_RECORD_ENABLED=true
RESOLVE_INTERVAL_SEC=3600       # how often to grade expired forecasts (1 h)