vivek/.env.example

# ---------------------------------------------------------------------------
# Adaptive Presentation Engine — environment config
# Copy to `.env` and fill in the values. Never commit real secrets.
# ---------------------------------------------------------------------------

# LLM provider: "anthropic" or "openai_compat"
LLM_MODE=anthropic
BASELINE_LLM_MODE=anthropic
ADAPTIVE_LLM_MODE=anthropic

# --- Anthropic (Claude) ---
ANTHROPIC_API_KEY=REPLACE_ME
ANTHROPIC_MODEL=claude-sonnet-4-6
ANTHROPIC_FAST_MODE_ENABLED=1

# --- OpenAI-compatible (OpenAI, Groq, etc.) ---
OPENAI_API_KEY=
OPENAI_BASE_URL=https://api.openai.com/v1
OPENAI_MODEL=gpt-4.1

# --- Generation budgets ---
COMBINED_TIMEOUT_SECONDS=45
COMBINED_MAX_TOKENS=4000

# --- Widget output mode: "json" (preferred) or "html" ---
WIDGET_MODE=json

# --- Bandit / format enforcement ---
STRICT_PRIMITIVES=1

# --- Admin bootstrap (required for primitives / strategy management) ---
ADMIN_USERNAME=admin
ADMIN_EMAIL=admin@example.com
ADMIN_PASSWORD=CHANGE_ME_STRONG_PASSWORD

# --- Auth ---
# Generate a strong random value for production (e.g. `python -c "import secrets;print(secrets.token_urlsafe(64))"`).
JWT_SECRET=change-me-to-a-long-random-secret
JWT_EXPIRE_SECONDS=604800

# --- Runtime env ---
# "development" exposes password-reset tokens to the caller for local testing.
# Must be "production" in real deployments.
ENV=development